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    <title locale="en_US">Volume 4 Issue 2</title>
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  <date_published>2021-12-31</date_published>
  <last_modified>2021-12-13</last_modified>
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      <abbrev locale="en_US">G.Edt</abbrev>
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      <abbrev locale="en_US">L.E</abbrev>
      <title locale="en_US">Letter To Editor</title>
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      <abbrev locale="en_US">Rew.Art</abbrev>
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      <abbrev locale="en_US">O.A</abbrev>
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      <publication xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" locale="en_US" version="1" status="3" primary_contact_id="1159" url_path="" seq="41" date_published="2021-12-30" section_ref="O.A" access_status="0" xsi:schemaLocation="http://pkp.sfu.ca native.xsd">
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        <title locale="en_US">Comparison of p16 with human papillomavirus with oral squamous cell carcinoma and oral premalignant lesion</title>
        <subtitle locale="en_US">Human Papillomavirus with Oral Squamous Cell Carcinoma</subtitle>
        <abstract locale="en_US">&lt;p&gt;Worldwide Oral carcinomas considerable problem. It is crucial to know the molecular incidences of molecular carcinogenesis, as it has a significant association with tobacco in Pakistani population. So, this study aimed to screen out the savage high risk of papilloma virus 16/18 and p16 in oral premalignant lesion and oral squamous cell carcinoma. Moreover, the p16 correlation between HPV and OPL and OSCC was also analyzed. &lt;strong&gt;Method: &lt;/strong&gt;A total of 150 samples from the oral cavity were taken from the Hayatabad Medical complex (50 samples of OPL and 100 samples of OSCC).In this study we used immunohistochemistry to look for p16 in OPL and OSCC, and we used polymerase chain reaction to find HPV. SPSS 21 was used to input and evaluate the data. The relationship between HPVandp16withdifferentvariables was determined using Chi-square and Fisher exact tests. &lt;strong&gt;Results:&lt;/strong&gt;For p16, 14% of 50 oral premalignant lesions were found positive and 86% were negative. Moreover, while screening for the OSCC, the 18 percent individuals were found positive for OSCC, while the remaining (82%) screened out negative. HPV was diagnosed in 6% of 50 OPL. The co-occurrence of HPV with p16 was found in all the 15 (100%) individual&#x2019;s with a p value of 0.001. However, three of the 18 cases with p16 expression did not have HPV infection. &lt;strong&gt;Conclusion: &lt;/strong&gt;The current research supports the use of p16 as a unique marker for human papilloma virus in oral squamous cell carcinomas. Furthermore, a chemical carcinogen like cigarettes is thought to be one of the main risk factors for p16 and HPV infection, as well as other things.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>P16; Oral Premalignant Lesions; Oral Squamous Cell Carcinoa; Human Papillomavirus (16/18)</keyword>
        </keywords>
        <authors xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://pkp.sfu.ca native.xsd">
          <author include_in_browse="true" user_group_ref="Author" seq="41" id="1159">
            <givenname locale="en_US">Mohammad </givenname>
            <familyname locale="en_US">Manzoor</familyname>
            <affiliation locale="en_US">Pathology Department, Bacha Khan Medical College Mardan </affiliation>
            <country>PK</country>
            <email>mohammadmanzoor418@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="41" id="1700">
            <givenname locale="en_US">Muhammad Zaib </givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">Dental Surgeon Consultant, Endodontics, Safari Hospital, Rawalpindi</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="41" id="1701">
            <givenname locale="en_US">Adnan </givenname>
            <familyname locale="en_US">Sarwar</familyname>
            <affiliation locale="en_US">Department of Pathology, Pak International Medical College, Peshawar</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="41" id="1702">
            <givenname locale="en_US">Fatima </givenname>
            <familyname locale="en_US">Daud</familyname>
            <affiliation locale="en_US">Department of Anatomy, Pak International Medical College, Peshawar</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="41" id="1703">
            <givenname locale="en_US">Inam-u</givenname>
            <familyname locale="en_US">llah</familyname>
            <affiliation locale="en_US">Department of Food Science, The University of Haripur, KPK, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="41" id="1704">
            <givenname locale="en_US">Hina</givenname>
            <familyname locale="en_US">Mir</familyname>
            <affiliation locale="en_US">Department of Biochemistry, Shaheed Benazir Bhutto Women University, Peshawar</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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        <title locale="en_US">Epidemiological And Histopathologic Study Of Rhabdomyosarcoma cases in a tertiary Care hospital of Peshawar</title>
        <subtitle locale="en_US">Epidemiological and Histopathologic Study of Rhabdomyosarcoma Cases</subtitle>
        <abstract locale="en_US">&lt;p&gt;&amp;nbsp;&lt;/p&gt;&#xD;
&lt;p&gt;&lt;strong&gt;Aim:&lt;/strong&gt; This study aimed to find out rhabdomyosarcoma&#x2019;s (RMS) histopathological and immunohistochemical features. Settings: The current study was carried out at the Department of Pathology, Section of Histopathology, Khyber Teaching Hospital Peshawar. The study duration was between from 1st January 2015 to 30th of December 2020. &lt;strong&gt;Results:&lt;/strong&gt; In the current study, all the 300 occurrences were found to be relevant. The most prevalent rhabdomyosarcoma was embryonal rhabdomyosarcoma (ERMS) (87.4%), followed by alveolar rhabdomyosarcoma (ARMS) (9.4%). In the current study we found that embryonal rhabdomyosarcomas was most frequent in males (64%). ERMS were 16.1 percent found in the genitourinary system followed by neck and head region (46.7%). Most samples displayed positive Desmin and MyoD1 immunohistochemistry staining. &lt;strong&gt;Conclusions:&lt;/strong&gt; It is consistent with previously published rhabdomyosarcoma data from all across the globe that our patients' epidemiologic information and microscopic findings are consistent with one other.&lt;/p&gt;&#xD;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>embryonal type, alveolar type, Peshawar, pleomorphic type &#x2013; epidemiology, Rhabdomyosarcoma</keyword>
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            <givenname locale="en_US">Mohammad</givenname>
            <familyname locale="en_US">Manzoor</familyname>
            <affiliation locale="en_US">Pathology Department, Bacha Khan Medical College, Mardan </affiliation>
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            <email>mohammadmanzoor418@gmail.com</email>
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            <givenname locale="en_US">Bismah</givenname>
            <familyname locale="en_US">Ahmad</familyname>
            <affiliation locale="en_US">Registrar Oral Pathology, CMH Lahore Medical College and Institute of Dentistry, Lahore</affiliation>
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            <givenname locale="en_US">Adnan</givenname>
            <familyname locale="en_US">Sarwar</familyname>
            <affiliation locale="en_US">Department of Pathology, Pak International Medical College, Peshawar</affiliation>
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            <email>1@gmail.com</email>
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            <givenname locale="en_US">Mohibullah</givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">Department of  Histopathology, Pak International Medical College, Peshawar</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Inam-u</givenname>
            <familyname locale="en_US">llah</familyname>
            <affiliation locale="en_US">Department of Food Science, The University of Haripur, KPK, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Hina</givenname>
            <familyname locale="en_US">Mir</familyname>
            <affiliation locale="en_US">Department of Biochemistry, Shaheed Benazir Bhutto Women University, Peshawar</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Awais</familyname>
            <affiliation locale="en_US">Department of Clinical Sciences, College of Veterinary and Animal Sciences,  Jhang </affiliation>
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            <email>2@gmail.com</email>
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            <affiliation locale="en_US">Faculty of Life Science, Department of Pharmacy, Sarhad University of Science and Information Technology, Peshawar</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <familyname locale="en_US">Muthanna</familyname>
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            <country>TH</country>
            <email>3@gmail.com</email>
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        <title locale="en_US">Therapeutic properties of Cinnamon Verum with special references to Hypoglcemic activity: An overview </title>
        <subtitle locale="en_US">Hypoglycemic activity of Cinnamun Verum </subtitle>
        <abstract locale="en_US">&lt;p&gt;In millennia, medicinal plants have gained greater interest owing to the presence of a broad spectrum of bioactive compounds which possess potential health benefits. Among these functional plants, cinnamon verum has captured more attention due to its multiple medicinal activities. In this review article, efforts were made to overview the functional properties of cinnamon verum with special reference to type II diabetes. Literature demonstrated that cinnamon verum possesses different pharmaceutical activities such as antioxidant, antibacterial, anti-inflammatory, anticancer, antidiabetic, wound recuperating, anti-HIV, anti-anxiety, and antidepressant activities. Moreover, hypoglycemic activity of cinnamon verum is attributed to the presence of various bioactive compounds especially cinnamaldehyde and other components of extract and essential oil.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Cinnamon Verum, Diabetes Mellitus, Medicinal Plants, Functional Foods, Health Benefits, Bioactive Compounds</keyword>
        </keywords>
        <authors xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://pkp.sfu.ca native.xsd">
          <author include_in_browse="true" user_group_ref="Author" seq="6" id="1207">
            <givenname locale="en_US">Zeenat </givenname>
            <familyname locale="en_US">Islam</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="6" id="1545">
            <givenname locale="en_US">Shahnai </givenname>
            <familyname locale="en_US">Basharat</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="6" id="1546">
            <givenname locale="en_US">Tabussam </givenname>
            <familyname locale="en_US">Tufail</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>tabussam.tufail@dnsc.uol.edu.pk</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="6" id="1547">
            <givenname locale="en_US">Zainab </givenname>
            <familyname locale="en_US">Sharmeen</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="6" id="1548">
            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Ali</familyname>
            <affiliation locale="en_US">Newfold University, Canada</affiliation>
            <country>CA</country>
            <email>3@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="6" id="1549">
            <givenname locale="en_US">Rimsha </givenname>
            <familyname locale="en_US">Shahid</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="6" id="1550">
            <givenname locale="en_US">Hina </givenname>
            <familyname locale="en_US">Gull</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="6" id="1551">
            <givenname locale="en_US">Mahnoor </givenname>
            <familyname locale="en_US">Masood Butt</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="6" id="1552">
            <givenname locale="en_US">Palwasha </givenname>
            <familyname locale="en_US">Khalil</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="6" id="1553">
            <givenname locale="en_US">Hafiza Nazia </givenname>
            <familyname locale="en_US">Kousar</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
          </author>
        </authors>
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        <title locale="en_US">Comparison of Two Hours Fasting with Conventional 8 Hours Fasting Before Undergoing Upper Gastrointestinal Endoscopy</title>
        <subtitle locale="en_US">Fasting Before Undergoing Upper Gastrointestinal Endoscopy</subtitle>
        <abstract locale="en_US">&lt;p&gt;Endoscopy is performed in routine to diagnose gastrointestinal diseases. Usually, a patient has fast for 8 hours fast before undergoing endoscopy. But it has also been observed that 2 hours fast can have equal efficacy in clearing upper gastrointestinal tract for diagnosis of gastrointestinal disease and equivalent comfort for endoscopy. &lt;strong&gt;Objective: &lt;/strong&gt;To compare the outcome of upper gastrointestinal endoscopy with 2&amp;nbsp;hours fasting versus 8 hours fasting (conventional method). &lt;strong&gt;Methods:&lt;/strong&gt; Ninety cases (45 in each group) were enrolled and divided in two groups. Patients randomized to group A were asked to fast for 2 hours before undergoing endoscopy. In group B, patients underwent endoscopy after 8 hours fast. Just before procedure, patients were inquired if they felt hunger, thirst, weakness, anxiety, nausea or discomfort. The gastroenterologist also observed the patient for nausea or regurgitation at intubation, liquid or food stasis, and risk of aspiration during procedure. The quality of endoscopy was noted as gastric mucosa visibility and overall endoscopy quality rate was noted to.&amp;nbsp; An overall endoscopy quality score &amp;gt;5 was deemed as good quality. &lt;strong&gt;Results: &lt;/strong&gt;In the 2 hours fast group, no patient had hunger, thirst, or weakness before undergoing procedure while 27 (60.0%) patients had anxiety, 13 (28.9%) patients had nausea and 5 (11.1%) patients felt discomfort. In the 8 hours fast group, 5 (11.1%) patients had hunger, but no patient had thirst or weakness before undergoing procedure while 18 (40.0%) patients had anxiety, 13 (28.9%) patients had nausea and 9 (20.0%) patients were feeling discomfort. In 2 hours, fast group, all (100%) patients had comfort with endoscopy. Similarly, in 8 hours fast group, all (100%) patients had comfort with endoscopy. In the 2 hours fast group, gastroenterologist observed nausea in 32 (71.1%) patients, and liquid stasis in 13 (28.9%) patients, while regurgitation at intubation, food stasis, and risk of aspiration were not observed during endoscopy. In the 8 hours fast group, the gastroenterologist observed nausea in 45 (100%) patients, while liquid stasis, regurgitation at intubation, food stasis, and risk of aspiration were not observed during endoscopy. The difference in both groups was highly significant (p&amp;lt;0.05). The overall endoscopy quality rate was 7.47&#xB1;0.51 in 2 hours fast group and 7.78&#xB1;0.60 in 8 hours fast group (p&amp;lt;0.05). In both groups, all patients had score 7 or above and hence, a good quality of endoscopy. &lt;strong&gt;Conclusion: &lt;/strong&gt;2 hours fast prior to endoscopy achieved results equivalent to those achieved after 8 hours fasting. So, as a day case procedure, endoscopy can be performed within same day after 2 hours fast, instead of waiting for 8 prolonged hours.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword> Fasting, Endoscopy, Upper gastrointestinal disease, Endoscopy discomfort</keyword>
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            <givenname locale="en_US">Sarah </givenname>
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            <givenname locale="en_US">Mohsin </givenname>
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            <givenname locale="en_US">Qamar </givenname>
            <familyname locale="en_US">Sajjad</familyname>
            <affiliation locale="en_US">Ganga Ram Hospital, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Amber </givenname>
            <familyname locale="en_US">Saleemi</familyname>
            <affiliation locale="en_US">Mayo Hospital Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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        <title locale="en_US">Impact Of Treadmill Running On Blood Glucose Level Of Type 2 Diabetes Mellitus Patients In Ghurki Trust And Teaching Hospital</title>
        <abstract locale="en_US">&lt;p&gt;Type 2 diabetes mellitus were define by WHO (world health organization) that &#x201C;It is a metabolic syndrome which is characterized by prolonged increase in blood glucose level due to any abnormality in insulin action or release of insulin. It is also known as noninsulin dependent diabetes mellitus (NIDDM)&#x201D;According to American diabetic Association (ADA) in 2004, the symptoms of long term increase glucose level in blood includes frequent urination, increase thirst, excessive hunger and blurry sight. &lt;strong&gt;Methodos:&amp;nbsp;&lt;/strong&gt;Quasi Experimental study design without control group,the duration for the study was 4 months.The study was conducted at Physiotherapy Department, Ghurki trust and teaching hospital. Blood glucose level, Glucose meter and treadmill runningwere outcome measures. Convenient sampling technique was used, 42 subjects were included in study. They were recruited from Ghurki Trust and Teaching Hospital. Diagnosed patients of diabetes mellitus type 2 were eligible. Patients, who fulfil the inclusion criteria, were interviewed and examined by the diabetic clinician in Ghurki trust and teaching hospital. By using convenient sampling method the subject was selected to perform the task.&amp;nbsp; The experimental procedure last for half an hour includes 5 minutes warm up 20 minutes treadmill run and 5 minutes of cool down. In warm up and cool down period mild stretching exercise, active ROM and breathing exercise for 5 minutes Selected Individuals was run on treadmill at a speed of 8km/hour (5miles per hour) for 20 minutes after doing warm up exercise. &lt;strong&gt;Conclusion:&amp;nbsp;&lt;/strong&gt;The aerobic exercise intervention is an effective tool to control the noninsulin dependent diabetes mellitus as it lower the blood glucose level but exercise must be performed regularly to have good results. Most of the patients with controlled diabetes are able to perform aerobic exercise safely as long as some precautionary measure is taken. Increase physical activity is a key for good health in patients with type 2 diabetes&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Diabetes, Aerobic Exercises, Breathing Exercises, ROM&#x2019;s</keyword>
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            <givenname locale="en_US">Samiya</givenname>
            <familyname locale="en_US"> Noreen</familyname>
            <affiliation locale="en_US">Elite College of Management Scienes, Gujranwala, Pakistan</affiliation>
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            <email>saad.shafiq@uipt.uol.edu.pk</email>
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            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Shafique</familyname>
            <affiliation locale="en_US">Allama Iqbal Medical College, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Tayyaba Mustafa </givenname>
            <familyname locale="en_US">Mian</familyname>
            <affiliation locale="en_US">Fatima Memorial Hospital, Lahore, Pakistan</affiliation>
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            <givenname locale="en_US">Hafiz Abdul </givenname>
            <familyname locale="en_US">Rehman</familyname>
            <affiliation locale="en_US">Shalamar Hospital, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Abdul </givenname>
            <familyname locale="en_US">Rehman</familyname>
            <affiliation locale="en_US">Shalamar Medical And Dental College, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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            <givenname locale="en_US">Muhammad Saad </givenname>
            <familyname locale="en_US">Shafiq</familyname>
            <affiliation locale="en_US">IBADAT INTERNATIONAL UNIVERSITY, ISLAMABAD</affiliation>
            <country>PK</country>
            <email>saad.shafiq@uipt.uol.edu.pk</email>
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            <givenname locale="en_US"> Ibraheem </givenname>
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            <affiliation locale="en_US">SHIFA TAMEER-I-MILLAT UNIVERSITY, ISLAMABAD</affiliation>
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            <email>1@gmail.com</email>
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            <affiliation locale="en_US">IBADAT INTERNATIONAL UNIVERSITY, ISLAMABAD</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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        <title locale="en_US">Emergence of Plasmid-mediated Quinolone-Resistant Salmonella Typhi Clinical Isolates from Punjab, Pakistan</title>
        <subtitle locale="en_US">Plasmid-mediated quinolone-resistant SalmonellaTyphi clinical isolates</subtitle>
        <abstract locale="en_US">&lt;p&gt;The present study evaluated the prevalence of fluoroquinolone resistance and the underlying mechanisms among &lt;em&gt;Salmonella &lt;/em&gt;Typhi clinical strains from Punjab, Pakistan. A total of 174 &lt;em&gt;Salmonella &lt;/em&gt;Typhi strains were isolated from the blood culture samples. The strains identification was done by using the API 20E system and VITEK&lt;sup&gt;&#xAE;&lt;/sup&gt;, while serovar validation was done by agglutination assays using antisera. Molecular characterization was done by PCR using the primers targeting the fliC-d gene of &lt;em&gt;Salmonellaenterica&lt;/em&gt; serovar Typhi. Antimicrobial susceptibility testing was performed by disc diffusion procedure and the minimum inhibitory concentration using the broth microdilution technique. Moreover,plasmid-mediated quinolone resistance genes were amplified through a polymerase chain reaction. Alarming rate of ciprofloxacin resistance (90.8%) were observed with high MICs ranging from &lt;u&gt;&amp;lt;&lt;/u&gt;0.06 &#xB5;g/mL to &amp;gt; 2.0 &#xB5;g/mL.Overall, the qnrS gene was detected among every ciprofloxacin-resistant isolate, of which maximum frequency of &lt;em&gt;qnr&lt;/em&gt;S genes was detected among isolates showing MICs &lt;u&gt;&amp;lt;&lt;/u&gt;1.0 &#xB5;g/mL, while 14 &lt;em&gt;qnr&lt;/em&gt;Sgene-positive isolates were showing very high MICs values 2.0 &#xB5;g/mL.Moreover, the ciprofloxacin-resistantisolates, as well as the ten isolates showing intermediate resistance (MIC; 0.5 &#xB5;g/mL), were negative for &lt;em&gt;qnr&lt;/em&gt;A and &lt;em&gt;qnr&lt;/em&gt;B genes. This study highlights that the quinolone resistance among &lt;em&gt;S. Typhiis at a &lt;/em&gt;critical level that necessitates the need for alternative therapeutic measures and the development of new antibiotics.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Saeed</familyname>
            <affiliation locale="en_US">Department of Microbiology, Government College University, Faisalabad, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Azhar</givenname>
            <familyname locale="en_US"> Aslam</familyname>
            <affiliation locale="en_US">Deaprtment of Microbiology, Faculty of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, Pakistan.</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Farhan </givenname>
            <familyname locale="en_US">Rasheed</familyname>
            <affiliation locale="en_US">Department of Pathology, Allama Iqbal Medical College, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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            <givenname locale="en_US">Muhammad Hidayat </givenname>
            <familyname locale="en_US">Rasool</familyname>
            <affiliation locale="en_US">Department of Microbiology, Government College University, Faisalabad, Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Ayesha </givenname>
            <familyname locale="en_US">Azhar</familyname>
            <affiliation locale="en_US">State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, Hubei Province, China</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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            <givenname locale="en_US">Hafiz Sajid</givenname>
            <familyname locale="en_US"> Khan</familyname>
            <affiliation locale="en_US">The Children's hospital Faisalabad</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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            <givenname locale="en_US">Hafiz Ghulam Murtaza </givenname>
            <familyname locale="en_US">Saleem</familyname>
            <affiliation locale="en_US">Faculty of Rehabilitation &amp; Allied Health Sciences, Riphah International University, Lahore, Pakistan</affiliation>
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            <email>7@gmail.com</email>
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            <givenname locale="en_US">Abdul </givenname>
            <familyname locale="en_US">Waheed</familyname>
            <affiliation locale="en_US">College of Allied Health Professionals, Directorate of Medical Sciences, Government College University, Faisalabad, Pakistan</affiliation>
            <country>PK</country>
            <email>7@gmail.com</email>
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            <givenname locale="en_US">Zia</givenname>
            <familyname locale="en_US"> Ashraf</familyname>
            <affiliation locale="en_US">Department of Microbiology, Government College University, Faisalabad, Pakistan</affiliation>
            <country>PK</country>
            <email>7@gmail.com</email>
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            <givenname locale="en_US">Ambereen Imran </givenname>
            <familyname locale="en_US">Anwar</familyname>
            <affiliation locale="en_US">Department of Pathology, Allama Iqbal Medical College, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>8@gmail.com</email>
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            <givenname locale="en_US">Mohsin </givenname>
            <familyname locale="en_US">Khurshid</familyname>
            <affiliation locale="en_US">Department of Microbiology, Government College University, Faisalabad, Pakistan</affiliation>
            <country>PK</country>
            <email>8@gmail.com</email>
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            <affiliation locale="en_US">Deaprtment of Microbiology, Faculty of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, Pakistan</affiliation>
            <country>PK</country>
            <email>ali.zohaib@iub.edu.pk</email>
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        <title locale="en_US">Functional And Nutraceutical Characterization Of Cinnamon</title>
        <abstract locale="en_US">&lt;p&gt;Cinnamon has been using as a fragrant plant and spice. Cinnamon is a member of family Lauraceae. Cinnamon has been used as a traditional medicine to reduce blood glucose level in diabetes and to control Blood pressure, Tumor Growth, Parkinson's and Alzheimer's diseases. Cinnamon nutritional composition revealedthat it contained a significant value of mineral, vitamins, and the main bioactive component is cinnamaldehyde. Cinnamon caloric content was determined as ofcarbohydrate (CHO), protein, fat, fiber, moisture and ash. Cinnamon contained the uppermost amount of carbohydrate(53.37%) in T1 and the lowermost amount of ash (1.25%) in T3. The mineral content of macro-elements and micro-elements were determined fromchromium (Cr), manganese (Mn), iron (Fe), zinc (Zn), magnesium (Mg), phosphorus (P), calcium (Ca), potassium (K) and sodium (Na). The content of minerals in Cinnamon contained the highest amount of potassium (135.2) in T1 and the lowest sodium in T2. The content of vitaminsin Cinnamon contained the fat-solubleand water-soluble vitamins A, K, E, D, &#x3B2;-caroteneand C, B12, B9, B6, B3, B2, B1were determined. Amongst the vitamins, cinnamon contained the uppermostvalue of&#x3B2;-carotene (112) and the lowermostvalue of vitamin B6 (0.158). Bioactive compounds of Cinnamon were determined cinnamaldehyde, cinnamyl acetate, &#x3B2;-caryophyllene and coumarin. Among the bioactive compounds in Cinnamon contained the uppermostvalue of cinnamaldehyde (64.56). The antioxidant capacity of cinnamon bark extract was (49 &#x3BC;g/mL). Conclusively,cinnamon is enriched with nutritional values. So, it can be used in the treatment of various disease.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Cinnamon, Chemical Analysis, Nutrient  Composition,Cinnamaldehyde</keyword>
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            <givenname locale="en_US">Maryam </givenname>
            <familyname locale="en_US">Shahzadi</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, The University of Lahore, Pakistan</affiliation>
            <country>PK</country>
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        <title locale="en_US">Range of motion in upper and lower Cervical spine in Dentists with chronic Neck pain of Lahore city</title>
        <abstract locale="en_US">&lt;p&gt;Neck pain is a commonly reported problem these days mostly due to increased screen timings and mobile usage, other than age factors Objective:To check range of motion in upper and lower cervical spine in dentists with chronic neck painMethods:cross-sectional Study was conducted and non-probability convenient sampling technique was used to get sample size. Forty-three participants were taken in this study. Only dentists with chronic neck pain were included. Association between pain intensity and cervical range of motion was obtained. After taking consent information data was collected by using cervical range of motion device and neck disability index questioner. Data was analyzedusing SPSS21Results:There was association between pain intensity and cervical flexion (p-value=0.043), pain intensity and cervical bending left side (p-value=0.000) while there was no association between pain intensity and cervical extension (p-value=0.201), pain intensity and cervical bending Right side (p-value=0.721), pain intensity and cervical rotation right side (p-value=0.207),pain intensity and cervical rotation left side (p-value=0.178)Conclusions:Dentists with chronic neck pain have decreased cervical flexion, cervical left side bending due to bad standing posture and continuous flexed neck for longer duration during work.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Fatima </givenname>
            <familyname locale="en_US">Amin</familyname>
            <affiliation locale="en_US">University institute of Physical Therapy, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Adnan </givenname>
            <familyname locale="en_US">Ikram</familyname>
            <affiliation locale="en_US">University institute of Physical Therapy, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Haris</givenname>
            <familyname locale="en_US"> Farooq</familyname>
            <affiliation locale="en_US">University institute of Physical Therapy, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Atta </givenname>
            <familyname locale="en_US">Muhammad</familyname>
            <affiliation locale="en_US">University Institute of Physical Therapy, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>m_atta005@hotmail.com</email>
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            <givenname locale="en_US">M Asim </givenname>
            <familyname locale="en_US">Arif</familyname>
            <affiliation locale="en_US">University Institute of Physical Therapy, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
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            <givenname locale="en_US">Hafiz Raja </givenname>
            <familyname locale="en_US">M Usman</familyname>
            <affiliation locale="en_US">University Institute of Physical Therapy, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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        <title locale="en_US">Patient safety culture: A Survey of Private Sector Tertiary Care Hospital of Lahore, Pakistan</title>
        <subtitle locale="en_US">Patient safety culture in private sector tertiary care hospital in Pakistan</subtitle>
        <abstract locale="en_US">&lt;p&gt;Patient safety is a critical component to improving healthcare quality. Due to the potential of growing recognition and importance of establishing a patient safety culture within healthcare organizations, assessing existing patient safety culture is a prerequisite. Despite a vital role in delivering quality care, little attention has been given to describe healthcare professionals' perceptions and expectations of the patient safety culture in Pakistan. &lt;strong&gt;Objective&lt;/strong&gt;:The current study aimed to assess the patient safety culture at a private tertiary hospital in Lahore from the perspectives of doctors and nurses. &lt;strong&gt;Methods&lt;/strong&gt;: This cross-sectional study collected data from 120 nurses and doctors of the private hospital using the Hospital Survey of Patient Safety Culture (HSOPSC).The respondent's demographic characteristics and study variables influencing patient safety culture were presented through descriptive statistics, and a chi-square test was applied to identify the variable influencing patient safety.&lt;strong&gt;Results&lt;/strong&gt;: The current study outcomes revealed a positive score for different dimensions ranging from 32.1% to 86.5%. The dimension of organizational learning-continuous improvement (86.5%) and teamwork within units (81.7%) had the highest scores as compared to teamwork across units (74.7%), feedback and communication about the error (73.7%), management support for patient safety (71.6%), supervisor/ manager expectations and actions promoting patient safety (69.8%), communication openness (65.4%), overall perceptions of patient safety (62%), frequency of events reported (53.7%), handoffs and transitions (49.9%), staffing (33.3%) and non-punitive response to errors (32.1%).&lt;strong&gt;Conclusion&lt;/strong&gt;: &#xA0;The current study's findings highlighted a less positive attitude of doctors and nurses towards patient safety culture within their organizations. The outcomes of the present study could be used for designing and establishing interventions to improve patient safety practices in similar tertiary care settings across Pakistan.&lt;/p&gt;</abstract>
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            <familyname locale="en_US">Hameed</familyname>
            <affiliation locale="en_US">University institute of public health,University of Lahore</affiliation>
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            <email>doctorsajidhameed@gmail.com</email>
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            <givenname locale="en_US">Ayesha </givenname>
            <familyname locale="en_US">Humayun </familyname>
            <affiliation locale="en_US">Department of Public Health and Community Medicine and Dental College, Lahore, Pakistan</affiliation>
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            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Yaqoob</familyname>
            <affiliation locale="en_US">University Institute of public health,University of Lahore.</affiliation>
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            <givenname locale="en_US">Muhammad Zahid </givenname>
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            <affiliation locale="en_US">Department of Medical Education,Azra Naheed Medical College</affiliation>
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            <familyname locale="en_US">Akhtar</familyname>
            <affiliation locale="en_US"> University Insitute of Public Health, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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        <abstract locale="en_US">&lt;p&gt;I am pleased to share that &#x2018;Pakistan BioMedical Journal&#x2019; is progressing by leaps and bounds. I congratulate to the journal team for their passion and enthusiasm in the growth of journal. All the team is working very hard. I would also like to appreciate the authors from wide range of disciplines for their scholarly contributions for our journal. By this issue, we have completed four successful years of publication. We are also proud to announce with great pleasure that PBMJ is recognized by &#x2018;Higher Education Commission&#x2019; (HEC) of Pakistan. It is really a great matter of contentment for us and we will continue working hard to achieve further milestones. In 2021, we had to increase the number of articles in both the issues due to large number of incoming articles. At the end, I would like to wish Happy Christmas, Happy ending 2021 and Happy New Year 2022 in advance, to the International Community across the globe. I wish all the readers, authors and Editorial team with a joyous and prosperous life ahead. We, as a scientific community, may collaborate and support each other in the upcoming year as well. I would also like to extend my heartiest gratitude to the reviewers who have made enormous contribution in refining the articles and making this journal a great success.&lt;/p&gt;
&lt;p&gt;Looking forward for more innovative and research contributions.&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Anna Maria</givenname>
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        <title locale="en_US">Perception of Medical Students towards Teaching and Training at Public and Private Medical Colleges of Peshawar Using Dundee Ready Education Environment Measure</title>
        <abstract locale="en_US">&lt;p&gt;The importance of teaching and training quality has been acknowledged as critical for successful learning and practical skill development. The perceptions of medical students toward teaching and training offer a good basis for altering and refining the quality of medical teaching. The purpose of this study was to analyses students' perceptions of teaching also training at public and private medical colleges of Peshawar, Pakistan. &lt;strong&gt;Materials and Methods:&lt;/strong&gt; The Dundee Ready Educational Environment Measure (DREEM) questionnaire was given to 240 pupils from various public and private medical schools. The questionnaire has 27 items that were rated on an 0-4 Likert scale (total scores between 0-108). The questionnaire had five subscales that assessed students' perceptions of learning, teaching, environment, academic self-perception, and social self-perception. Data was collected and mean and standard deviation for each subscale was calculated using SPSS. &lt;strong&gt;Results:&lt;/strong&gt; The total mean score of DREEM both public and private was 64/108 (59%). The total mean score for public and private was 65/108 (60%) and 62/108 (57%) respectively. The total score of SPL domain for public and private was 16.81/28 (61%) and 16.09/28 (57%). The total score of SPT was 19.52/32 (61%) for pubic and 19.67/32 (61%), while that of SASP was 5.02/8 (62%) and 4.33/8 (54%). The total score of SPA domain was 19.31/32 (60%) and 17.91/32 (55%) while that of SSSP was 4.9/8 (61%) and 4.49/8 (56%) for public and private medical colleges respectively. For SPA, SSSP, SASP, SPL and SPT domain the score of public medical colleges was &#x2265;60% and for private only SPT was 61% and the remaining were &amp;lt;60%. &lt;strong&gt;Conclusions:&lt;/strong&gt; Total DREEM score was 64.02 which are more positive than negative. However, the individual scores of domains for both public and private medical colleges were showing a positive perception of students except the SASP domain for private medical colleges, which is showing many negative aspects and needs further exploration.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>DREEM, medical students, perception, public, private, teaching, training</keyword>
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            <givenname locale="en_US">Sobia </givenname>
            <familyname locale="en_US">Haris</familyname>
            <affiliation locale="en_US">Department of Medical Education, Nowshera Medical College, Nowshera</affiliation>
            <country>PK</country>
            <email>sobiaharis92@hotmail.com</email>
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            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Haris</familyname>
            <affiliation locale="en_US">Department of Anatomy, Nowshera Medical College, Nowshera</affiliation>
            <country>PK</country>
            <email>dx_harris@hotmail.com</email>
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            <givenname locale="en_US">Farah</givenname>
            <familyname locale="en_US"> Deeba</familyname>
            <affiliation locale="en_US">Department of Medical Education, Nowshera Medical College, Nowshera</affiliation>
            <country>PK</country>
            <email>fara20017@gmail.com</email>
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            <givenname locale="en_US">Muhammad Jehangir</givenname>
            <familyname locale="en_US"> Khan</familyname>
            <affiliation locale="en_US">Department of Pediatric Surgery, Makka Medical Center, Nowshera</affiliation>
            <country>PK</country>
            <email>drjehangir313@yahoo.com</email>
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            <givenname locale="en_US">Ahmad Sharjeel </givenname>
            <familyname locale="en_US">Karam</familyname>
            <affiliation locale="en_US">Kabir Medical College, Peshawar</affiliation>
            <country>PK</country>
            <email>ahmadparadox1999@gmail.com</email>
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        <title locale="en_US">Why The Rate Of Pcos/Pcod Increase At The Age Of Menarche</title>
        <subtitle locale="en_US">Rate of PCOS/PCOD at the Age of Menarche</subtitle>
        <abstract locale="en_US">&lt;p&gt;Polycystic Ovarian Syndrome (PCOS) ratio increase at age of menarche worldwide&lt;strong&gt;. Objective:&lt;/strong&gt; The objective is to determine the cause of PCOD/PCOS at the age of menarche. &lt;strong&gt;Methods:&lt;/strong&gt; Age at menarche was compared with PCOS/ PCOD. The data extracted by Medline, PubMed and Obsgyne online library that were queried for studies published between 1998 to 2021 by specific MeSH terms. We reviewed 10 cross-sectional style analytical studies for the collection of data in this systematic article &lt;strong&gt;Results:&lt;/strong&gt; 10 studies conducted between the years 1998 to 2021 included in this systematic review. The age of menarche is between 10-18 years. Menarche is one of the major causes of PCOD/PCOS due to poor diagnosis of normal pubertal ovaries and polycystic ovaries. At the age of menarche, the weight ratio is subjectively increased due to poor diet and then BMI increased. So PCOD/ PCOS ratio increases day by day at the age of menarche. &lt;strong&gt;Conclusions:&lt;/strong&gt; Age at menarche in women with PCOS is influenced by BMI and Genetic Variants and poor diagnostic at ultrasound scan.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Polycystic Ovary Syndrome; Hyperandrogenaemia;  Hirsutism; Oligomenorrhea; Menarche; Ultrasound</keyword>
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            <givenname locale="en_US">Wajiha</givenname>
            <familyname locale="en_US">Zafar</familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp;MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>wajihazafar707@gmail.com</email>
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            <givenname locale="en_US">Syeda</givenname>
            <familyname locale="en_US"> Khadija </familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp;MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>syyedakhadija55@gmail.com</email>
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            <givenname locale="en_US">Kinza </givenname>
            <familyname locale="en_US">Rasool </familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp;MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>kinzarasool66@gmail.com</email>
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            <givenname locale="en_US">Anam </givenname>
            <familyname locale="en_US">Fazal</familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp;MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>anamfazal47@gmail.com</email>
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            <givenname locale="en_US">Amna </givenname>
            <familyname locale="en_US">Sana</familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp;MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Raisa </givenname>
            <familyname locale="en_US">Shazadi</familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp;MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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        <title locale="en_US">Comparison Of Polycystic Ovaries In Obese And Non-Obese Patients</title>
        <subtitle locale="en_US">Polycystic Ovaries in Obese and Non-Obese Patients</subtitle>
        <abstract locale="en_US">&lt;p&gt;Polycystic ovarian syndrome is a very common female endocrine; metabolic and reproductive disorder mainly affects females of reproductive age. It is multiple organ disorder affects 5 to 10 % female population. The world occurrence of PCOS is 105 million in the age ranges from 15 to 45. This metabolic dysfunction is closely related with obesity, hirsutism, acne and pregnancy complications. Around 5-10% of female population is affected, obese women are more prone to PCOS. &lt;strong&gt;Objective: &lt;/strong&gt;To evaluate the comparison of polycystic ovaries between obese and non-obese females. &lt;strong&gt;Methods: &lt;/strong&gt;A literature search was performed with the use of search engines. The following search engines provided the articles for this systematic review, PubMed, Medscape, NCBI, and Google Scholar. For article searching following keywords were used; Polycystic ovaries, obese and non-obese. &lt;strong&gt;Results: &lt;/strong&gt;As literature reviewed of 30 articles and only 39 were included in this review, it is found that Mean age of all subjects was 24-35 year. Obese 20-29 year and non-obese 19-35 year. Hirsutism was observed mostly in obese patient of PCOs and not observed in non-obese. Incidence of Amenorrhea was higher in non-obese than obese patients. Acne was observed in all patients.&lt;strong&gt;Conclusion: &lt;/strong&gt;It is concluded that there is a significant effect of obesity on clinical features of patients with PCOS.&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Kinza </givenname>
            <familyname locale="en_US">Rasool </familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, The University Of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>kinzarasool66@gmail.com</email>
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            <givenname locale="en_US">Syeda  </givenname>
            <familyname locale="en_US">Khadija</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, The University Of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>syyedakhadija55@gmail.com</email>
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            <givenname locale="en_US">Anam </givenname>
            <familyname locale="en_US">Fazal</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, The University Of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Raisa </givenname>
            <familyname locale="en_US">Shazadi</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, The University Of Lahore, Pakistan</affiliation>
            <country>PK</country>
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            <givenname locale="en_US">Wajiha</givenname>
            <familyname locale="en_US"> Zafar</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, The University Of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Amna </givenname>
            <familyname locale="en_US">Sana</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, The University Of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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        <abstract locale="en_US">&lt;p&gt;Persistentantimicrobial drugs treatmenthas resulted in antimicrobial resistance in fungi. There is always a gap for newer antifungal agent. As fungi are associated with multiple health risks in humans and many diseases in crops as well.&lt;strong&gt;Objective:&lt;/strong&gt; To find alternate natural antimicrobial agent as compared to the synthetic one. &lt;strong&gt;Method:&lt;/strong&gt;Essential oil of &lt;em&gt;Trachyspermumammi&lt;/em&gt; was isolated, fractionated, and subjected to GC-MS analysis. Components from fractions were derivatized to check their antimicrobial potential against fungal resistant strains. &lt;strong&gt;Results:&lt;/strong&gt;Analysis showed &#x3B3; -terpinene (39%), &#x3B1;-phellandrene (1.3%), &#x3B1;-pinene (0.5%), Sabinene (0.15%), &#x3B2;-pinene (4.40%),&#xA0; &#x3B2;-myrcene (1.14%), O-cymene (15.78%),&#xA0; p-cymefne (38.78%), and other components were less than 1%. Fractional components were derivatised and their antifungal action was studied. &lt;strong&gt;Conclusion: &lt;/strong&gt;Ajwain oil components found to be good against resistant fungal strains. While some derivatives showed more and some less antimicrobial action.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Naila</givenname>
            <familyname locale="en_US"> Iram</familyname>
            <affiliation locale="en_US">Department of chemistry, Faculty of sciences, University of Agriculture, Faisalabad, Pakistan</affiliation>
            <country>PK</country>
            <email>nailairamchem@gmail.com</email>
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            <givenname locale="en_US">Muhammad Asif </givenname>
            <familyname locale="en_US">Hanif</familyname>
            <affiliation locale="en_US">Department of chemistry, Faculty of sciences, University of Agriculture, Faisalabad, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Haq Nawaz </givenname>
            <familyname locale="en_US">Bhatti</familyname>
            <affiliation locale="en_US">Department of chemistry, Faculty of sciences, University of Agriculture, Faisalabad, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Muhammad</givenname>
            <familyname locale="en_US"> Shahid</familyname>
            <affiliation locale="en_US">Department of Biochemistry, Faculty of sciences, University of Agriculture, Faisalabad , Pakistan</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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        <title locale="en_US">Clinical hormonal and ultrasonographic correlation in women with PCOS</title>
        <abstract locale="en_US">&lt;p&gt;Polycystic ovarian syndrome (PCOS) is an endocrine and metabolic disorder affecting in fertile age women. PCOS is characterized by type 2 diabetics, hyperandrogenism, obesity, acne, infertility, hypertension, amenorrhea and hirustism. &lt;strong&gt;Objective: &lt;/strong&gt;The main objective of our systematic review is to compare clinical, hormonal, and ultrasonographic criteria for the diagnosis of polycystic ovarian syndrome. &lt;strong&gt;MATERIAL AND METHODs: &lt;/strong&gt;In this systematic review of study 10 article is collected from Google scholar, science direct and pub med and other site that are published during the years of 1997 to 2019 for analysis of PCOS in ultrasound, clinically, biochemical and hormonal data. 2589 females ranging from 14-50 years were included in this study. &lt;strong&gt;Results: &lt;/strong&gt;&#xAD;Out of 2589 females, 1688 were suffering from PCOS, 901 females were normal. In PCOS the most of the patients are obese or overweight (BMI&amp;gt;25Kg/m2). Most of the patients increased the level of testosterone. And testosterone is significantly associated with obesity. In this study volume of the ovary is increased (&amp;gt;10cm3) and each follicle size is 2-9mm with increased central stromal echogenicity. Serum androgen and LH is elevated in some case but PCOS finding on ultrasound. Sometimes patients have a history of menstrual irregularity that causes oligo-ovulatory infertility. Sometimes diabetics type 2 and hypertension may also be seen. Sometime in ultrasound female ovaries appears to be normal, but biochemical and clinical finding suggests that these females having a PCOS. &lt;strong&gt;CONCLUSION: &lt;/strong&gt;Polycystic ovarian syndrome is heterogeneous group of disease. Obesity and free testosterone are significant. Ovarian volume and obesity are significantly associated. Ovarian volume and hyperandrogenemia are significantly associated. Chronic anovulation is dominant feature of PCOS. Both LH-FSH ratio and testosterone can be taken for accuracy of diagnosis.&#xA0; The criteria for ultrasound diagnosis, 12 or more follicles size of 2-9mm is found in an ovary. Ovary size if &amp;gt; 10cm&lt;sup&gt;3 &lt;/sup&gt;and follicles are seen at peripheral region&lt;/p&gt;</abstract>
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          <keyword>Ultrasound, PCOS, Ovarian follicles, testosterone, metabolic disturbance, Obesity, LH, FSH</keyword>
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            <givenname locale="en_US">Usman Ali</givenname>
            <familyname locale="en_US">Arif</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences And Medical Imaging Technologies (UIRSMIT), Faculty of Allied Health Sciences, (FAHS), The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>usmanali4072@gmail.com</email>
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            <givenname locale="en_US">Syeda </givenname>
            <familyname locale="en_US">Khadija</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences And Medical Imaging Technologies (UIRSMIT), Faculty of Allied Health Sciences, (FAHS), The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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        </authors>
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        <title locale="en_US">Preventative role of Selenium in Keshan Disease: A Review</title>
        <abstract locale="en_US">&lt;p&gt;Mineral deficiencies have caused severe health consequences in developing countries. Among many other minerals, selenium is also an essential nutritional trace mineral element that is critical to the normal physiology of humans. In 1817, Swedish chemist and physician Jons Jacob Berzelius discovered this element. The US Department of Agriculture has an RDA of 55 &#x3BC;g/day for adults. Regional dietary deficiency of selenium caused Keshan and Kashin-Beck diseases. Keshan disease is endemic congestive cardiomyopathy, characterized by cardiac insufficiency, heart enlargement, arrhythmia, and electrocardiographic modifications. First identified in 1935 in Keshan County, Heilongjiang Province, northeast China. This disease is clinically divided into four categories: acute, subacute, chronic, and latent. However, selenium supplementations to the residents of Keshan disease endemic areas significantly reduced the incidence of KD. Thus, the government decided to apply sodium selenite to growing crops, and the incidence of the disease decreased dramatically.&lt;/p&gt;</abstract>
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        <copyrightYear>2021</copyrightYear>
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          <keyword>Selenium, Keshan disease, Cardiomyopathy, Selenium supplementation.</keyword>
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            <givenname locale="en_US">Bahisht </givenname>
            <familyname locale="en_US">Rizwan</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Science, Department of Allied Health Sciences, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>bahisht.rizwan@dnsc.uol.edu.pk</email>
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            <givenname locale="en_US">Sammar </givenname>
            <familyname locale="en_US">Fatima</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Science, Department of Allied Health Sciences, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Shahnai </givenname>
            <familyname locale="en_US">Basharat</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Science, Department of Allied Health Sciences, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
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        <title locale="en_US">Influence of Smartphone Usage on Health Causing Insomnia and Binge Eating</title>
        <subtitle locale="en_US">Smartphone Usage, Insomnia &amp; Binge Eating</subtitle>
        <abstract locale="en_US">&lt;p&gt;Smart phone is an electrical device and its use is increasing day by day even in the growing countries like Pakistan. Difficulty in sleeping and disturbed sleep quality is termed as insomnia and binge eating is a psychological disorder characterized by overeating. &lt;strong&gt;Objective: &lt;/strong&gt;To access the influence of excessive use of smart phone on health causing insomnia and binge eating.&#xA0;&lt;strong&gt;Method: &lt;/strong&gt;A Cross Sectional Study design was done on 100 university students in Lahore to elucidate the influence of smart phone usage on health causing binge eating and insomnia. A self-formulated questionnaire was used including questions like (age, sex, weight, height, snacking while using smart phone and sleep quality). Purposive Sampling technique was used to collect data. Adolescent&#x2019;s aging 20-25 years of age were participants of the study. Data was analyzed through latest version of SPSS.&#xA0;&lt;strong&gt;Result: &lt;/strong&gt;According to the findings of study, out of total 100 participants 69 were females and 31 were males. Majority 61% of the participants were having disturbed sleep quality due to smart phone usage and 64% were binging while on their smart phones using social media.&#xA0;&lt;strong&gt;Conclusion: &lt;/strong&gt;It is concluded from study that percentage of smart phone usage is contributing to sleep disturbances and high calorie intake in university students.The results suggest that students who were addicted to smartphones were having sleep disturbances and were also binging. In addition, it was also Affecting their weight as their BMI were increased.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Maria</givenname>
            <familyname locale="en_US">Aslam</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>maria.aslam@ahs.uol.edu.pk</email>
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          <author include_in_browse="true" user_group_ref="Author" seq="29" id="729">
            <givenname locale="en_US">Syeda </givenname>
            <familyname locale="en_US">Dur e Najaf</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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          <author include_in_browse="true" user_group_ref="Author" seq="29" id="730">
            <givenname locale="en_US">Fiza </givenname>
            <familyname locale="en_US">Arooj</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Sadia Asad </givenname>
            <familyname locale="en_US">Rai</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Alina </givenname>
            <familyname locale="en_US">Abdul Manan</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Sehar </givenname>
            <familyname locale="en_US">Fatima</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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        <title locale="en_US">BIOACTIVE COMPONENTS OF RICE BRAN AND THEIR HEALTH BENEFITS</title>
        <abstract locale="en_US">&lt;p&gt;Rice is a staple food for more than half the world's population. About 480 million tons of milled rice is produced annually. Rice bran is one of the main products in the process of milling rice. The outer layer is brown of brown rice and is separated during the milling process. Rice bran is used as a good source of protein, oil, raw fiber, carbohydrates and fatty acids. Rice bran is listed as a rich source of bioactive chemicals such as gamma-oryzanol, phenolic acid, phytic acid, &#x3B2;-sitosterol and vitamin E, which provide beneficial health properties and provide anti-inflammatory, antioxidant, anti-inflammatory properties, lipid lowering, antihypertensive, and controlling genetic expression. Therefore, to provide a number of health benefits, including: aging, prevention of cardiovascular disease and protection from chronic diseases such as diabetes, cancer and non-vascular diseases. Or-oryzanol, a unique component of rice bran, contains a group of esters of triterpene alcohol and phytosterols. Also, phytosterols campesterol and &#x3B2;-sitosterol can be found in very high doses in rice bran oil. Both have the ability to lower serum cholesterol and have powerful anticancer properties. Vitamin E contents (tocopherols and tocotrienols) also present in rice bran. Both tocopherols and tocotrienols are considered to be the most important natural antioxidants. Many phenolic compounds have already been identified in rice bran. The main phenolics in rice bran are phenolic acid, especially ferulic and p-coumaric acids. Filtering complete phenolics in rice bran is well integrated with their anticancer activity. Rice bran has great potential in the food, cosmetics and pharmaceutical industries due to the presence of these health-promoting substances.&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Marrium</givenname>
            <familyname locale="en_US"> Javed</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
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            <givenname locale="en_US">Tabassum </givenname>
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            <givenname locale="en_US">Saadia </givenname>
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            <givenname locale="en_US">Maria</givenname>
            <familyname locale="en_US">Aslam</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
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        <title locale="en_US">Impact of Social Media and Peer Pressure on Eating Behaviors of Adolescents</title>
        <subtitle locale="en_US">Social Media and Peer Pressure on Eating Behaviors</subtitle>
        <abstract locale="en_US">&lt;p&gt;Social media is the site used everywhere around the world to interact and communicate with people. The most used social media networks include Facebook, WhatsApp, YouTube, Twitter, Instagram and Snapchat. Social networks usage is negatively associated with the eating choices of students, and it has made lifestyle sedentary.&lt;strong&gt;Objectives:&lt;/strong&gt; The main aim of the study was to determine how the use of social media is linked with the eating habits of students. The secondary objective was to determine how peer choices affected eating choices in students.&lt;strong&gt;Methods:&lt;/strong&gt; A cross sectional study was conducted among 100 university of Lahore students for period of 3 months ranging from 18 to 25 years. Information on how social media and peer pressure influence eating behaviors in students was collected using a questionnaire through purposive sampling technique.&lt;strong&gt;Results:&lt;/strong&gt; The results revealed that the majority of participants were female i.e., 89% and 11% were male. About 43% participants were using Instagram, whereas about 70% participants were using cell phone before laying down. 39% participants were using internet for 10 hours while 30% participants for whole day. Majority 29% participant crave junk food while watching social media, and 74% participants consumed junk food with friends. Adolescents are influenced by peer pressure as 40% participants ate 3 meals and 24% participants ate 4 meals per day with friends.&lt;strong&gt;Conclusion:&lt;/strong&gt; Social media and peer pressure has greatly affected the lifestyle and eating choices of students. Our youth has decreased enjoying healthy meals with family. Thus, future nutrition programs must focus on promoting healthy eating behavior among our youth.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Maria</givenname>
            <familyname locale="en_US">Aslam</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>maria.aslam@ahs.uol.edu.pk</email>
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            <givenname locale="en_US">Jannat </givenname>
            <familyname locale="en_US">Gull Khan</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
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            <givenname locale="en_US">Gullnoor </givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
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            <givenname locale="en_US">Henna </givenname>
            <familyname locale="en_US">Asif</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Nafela </givenname>
            <familyname locale="en_US">Atta</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Aqsa</givenname>
            <familyname locale="en_US"> Rafique</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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            <givenname locale="en_US">Tuba </givenname>
            <familyname locale="en_US">Tahir</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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            <givenname locale="en_US">Nabeera </givenname>
            <familyname locale="en_US">Ahmed</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>7@gmail.com</email>
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            <givenname locale="en_US">Ayesha</givenname>
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            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>8@gmail.com</email>
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        <abstract locale="en_US">&lt;p&gt;Hospital waste management (HWM) is extremely important and it is very different kind of waste that has high potential of spreading infection and diseases. There should be proper management of this waste, otherwise it can be hazardous&lt;strong&gt; Objective:&lt;/strong&gt; The objective of the study is to evaluate the waste management practices at DHQ Hospital, Sheikhupura &lt;strong&gt;Methods:&lt;/strong&gt; It was cross-sectional hospital-based study. The study was carried out at DHQ Hospital Sheikhupura. The sample size of the study was 169 including 94 waste handlers, 45 nurses and 30 doctors were included. Data was collected through questionnaire using non-probability convenient sampling technique, which was entered and statistically analyzed using SPSS 20.0. &lt;strong&gt;Results&lt;/strong&gt;: Among 94 waste handlers, 30.8% were 21-30 years old, 64.9% males and 45.7% had up to 5 years&#x2019; work experience. 67.0% had been vaccinated, 87.2% confirmed that waste is segregated at source and100.0% waste handlers were provided with color bags for various types of hospital wastes. 92.6% stated that pre-treatment procedure is carried out before hospital waste disposal and 75.5% waste handlers were provided with protective gears. Among 45 nurses, 55.6% were 31-40 years old and 64.4% had up to five years&#x2019; work experience. 100.0% nurses ensured internal collection of waste bags &amp;amp; containers and their transportation to the central storage facility of hospital on the daily basis. 82.2% coordinated and monitored all the operations related to waste management and for this purpose regularly met with hospital waste management committee. 100.0% nurses recorded the waste quantities generated by the department on weekly basis. Among 30 doctors, 73.3% organized training activities for HWM staff on safe waste management procedures.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Adnan Ul</givenname>
            <familyname locale="en_US">Qamar</familyname>
            <affiliation locale="en_US">University Institute of Public Health, University of Lahore, Pakistan.</affiliation>
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            <email>1@gmail.com</email>
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            <givenname locale="en_US">Tallat Anwar </givenname>
            <familyname locale="en_US">Faridi</familyname>
            <affiliation locale="en_US">University Institute of Public Health, University of Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>tallat.anwar@pht.uol.edu.pk</email>
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            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Moazzam</familyname>
            <affiliation locale="en_US">University Institute of Public Health, University of Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>mmoazzam739@gmail.com</email>
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            <givenname locale="en_US">Wafa </givenname>
            <familyname locale="en_US">Fatima</familyname>
            <affiliation locale="en_US">University Institute of Public Health, University of Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Syed Bilal </givenname>
            <familyname locale="en_US">Hassan</familyname>
            <affiliation locale="en_US">University Institute of Public Health, University of Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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            <givenname locale="en_US">Muhammad Azam </givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">Department of Health Professional Technologies,The university of Lahore,Pakistan.</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Syed Amir </givenname>
            <familyname locale="en_US">Gilani</familyname>
            <affiliation locale="en_US">Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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        <title locale="en_US">FUNCTIONAL AND NUTRACEUTICAL CHARACTERIZATION OF CINNAMON</title>
        <abstract locale="en_US">&lt;p&gt;Cinnamon has been using as a fragrant plant and spice. Cinnamon is a member of family Lauraceae. Cinnamon has been used as a traditional medicine to reduce blood glucose level in diabetes and to control Blood pressure, Tumor Growth, Parkinson's and Alzheimer's diseases. Cinnamon nutritional composition revealed that it contained a significant value of mineral, vitamins, and the main bioactive component is cinnamaldehyde. Cinnamon caloric content was determined as of carbohydrate (CHO), protein, fat, fiber, moisture and ash. Cinnamon contained the uppermost amount of carbohydrate (53.37%) in T1 and the lowermost amount of ash (1.25%) in T3. The mineral content of macro-elements and micro-elements were determined from chromium (Cr), manganese (Mn), iron (Fe), zinc (Zn), magnesium (Mg), phosphorus (P), calcium (Ca), potassium (K) and sodium (Na). The content of minerals in Cinnamon contained the highest amount of potassium (135.2) in T1 and the lowest sodium in T2. The content of vitamins in Cinnamon contained the fat-soluble and water-soluble vitamins A, K, E, D, &#x3B2;-carotene and C, B12, B9, B6, B3, B2, B1 were determined. Amongst the vitamins, cinnamon contained the uppermost value of &#x3B2;-carotene (112) and the lowermost value of vitamin B6 (0.158). Bioactive compounds of Cinnamon were determined cinnamaldehyde, cinnamyl acetate, &#x3B2;-caryophyllene and coumarin. Among the bioactive compounds in Cinnamon contained the uppermost value of cinnamaldehyde (64.56). The antioxidant capacity of cinnamon bark extract was (49 &#x3BC;g/mL). Conclusively, cinnamon is enriched with nutritional values. So, it can be used in the treatment of various disease.&lt;/p&gt;</abstract>
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          <keyword>Cinnamon</keyword>
          <keyword>Chemical Analysis</keyword>
          <keyword>Nutritent Composition</keyword>
          <keyword>Cinnamaldehyde</keyword>
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            <givenname locale="en_US">Maryam </givenname>
            <familyname locale="en_US">Shahzadi</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, The University of Lahore, Pakistan</affiliation>
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            <givenname locale="en_US">Bahisht </givenname>
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            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, The University of Lahore, Pakistan</affiliation>
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            <givenname locale="en_US">TABUSSAM</givenname>
            <familyname locale="en_US">TUFAIL</familyname>
            <affiliation locale="en_US">THE UNIVERSITY OF LAHOREUniversity Institute of Diet and Nutritional Sciences, The University of Lahore, Pakistan</affiliation>
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            <email>tabussam.tufail@dnsc.uol.edu.pk</email>
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            <givenname locale="en_US">Shahnai</givenname>
            <familyname locale="en_US"> Basharat</familyname>
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        <title locale="en_US">Wound Healing Efficacy of Hondy, Aloe Vera, and Turmeric</title>
        <subtitle locale="en_US">Wound Healing Efficacy of Hondy, Aloe Vera, and Turmeric</subtitle>
        <abstract locale="en_US">&lt;p&gt;Skin naturally acts as a body's protective layer and external environmental factors that can harm internal body organs are protected by it.So, maintaining skin integrity is vital for normal physiological functioning.In our daily lives, the bodies of both animals and humans are subjected to various forms of violence, some of which are severe enough to destroy the skin's continuity.A wound is a breakdown in the continuity of the skin. When the skin's continuity is disrupted, the body's interior organs are exposed.There's a risk of death in this case.There's a risk of death in this case. The skin's immediate response to a wound is the first step in the healing process, which begins automatically after the injury has been inflicted.It is possible to speed up this process in a variety of ways, including keeping the wound free of bacterial infection, moisture, and dirt.A&amp;nbsp;number&amp;nbsp;of&amp;nbsp;antiseptic&amp;nbsp;dressings&amp;nbsp;are&amp;nbsp;available&amp;nbsp;for&amp;nbsp;this&amp;nbsp;purpose,&amp;nbsp;and&amp;nbsp;when&amp;nbsp;applied&amp;nbsp;topically,they&amp;nbsp;help&amp;nbsp;to&amp;nbsp;speed&amp;nbsp;up&amp;nbsp;the&amp;nbsp;healing&amp;nbsp;process&amp;nbsp;of&amp;nbsp;wounds.They protect the wound from contamination by microorganisms and speed up the healing process.Among these are &lt;em&gt;Aloe vera&lt;/em&gt;, honey, and turmeric, all of which have considerable wound healing capabilities.Turmeric, honey, and &lt;em&gt;Aloe vera&lt;/em&gt; are all considered good for promoting wound healing.They are involved in the prevention of platelet aggregation, myocardial infarction, tumour formation, inflammatory cytokine release, oxidative stress, and metastasis.Several studies have demonstrated that they play a critical function in the promotion of wound healing. Their use for wound dressing has proven to be a successful method. The primary goal of this review is to summarise previous scientists' findings with authentic concluding verse for the use of &lt;em&gt;Aloe vera&lt;/em&gt;,Turmeric and Honey that are safe, readily available, and less expensive.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Muhammad</givenname>
            <familyname locale="en_US"> Jamil</familyname>
            <affiliation locale="en_US">PARC Arid Zone Research Centre, Dera Ismail Khan, Pakistan</affiliation>
            <country>PK</country>
            <email>jamilmatrah@gmail.com</email>
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            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Kashif</familyname>
            <affiliation locale="en_US">Department of Clinical Sciences, Sub Campus Jhang, University of veterinary and Animal Sciences, Lahore,  Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
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            <givenname locale="en_US">Bashir </givenname>
            <familyname locale="en_US">Ahmad</familyname>
            <affiliation locale="en_US">Department of Plant Protection,University of Agriculture, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Bibi </givenname>
            <familyname locale="en_US">Sadia</familyname>
            <affiliation locale="en_US">Sardar Bahadur Khan Women's University, Quetta, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Imtiaz </givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">PARC Adaptive Research Cum Demonstration Institute, Miranshah, Pakistan</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="4" id="674">
            <givenname locale="en_US">Imran </givenname>
            <familyname locale="en_US">Qazi</familyname>
            <affiliation locale="en_US">PARC Adaptive Research Cum Demonstration Institute, Wana, Pakistan</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="4" id="675">
            <givenname locale="en_US">Muhammad Fahimullah </givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">Faculty of Veterinary and Animal Sciences, Gomal University, Dera Ismail Khan, Pakistan</affiliation>
            <country>PK</country>
            <email>7@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="4" id="676">
            <givenname locale="en_US">Mubarik </givenname>
            <familyname locale="en_US">Ali</familyname>
            <affiliation locale="en_US">Animal science Institute, National Agricultural Research Center, Islamabad, Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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          <author include_in_browse="true" user_group_ref="Author" seq="4" id="677">
            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Rasheed</familyname>
            <affiliation locale="en_US">Animal science Institute, National Agricultural Research Center, -Islamabad, Pakistan</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
          </author>
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            <givenname locale="en_US">Muhammad Rehan </givenname>
            <familyname locale="en_US">Arif</familyname>
            <affiliation locale="en_US">Institute of Food and Nutritional Sciences, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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        <abstract locale="en_US">&lt;p&gt;Metabolic Syndrome or MetS is a multifactorial disease consisting of obesity, hypertension, dyslipidemia, and hyperglycemia. It&#x2019;s common in 25% of the general population in the Northern US and Western Europe. In Pakistan, the statistics of MetS are unknown, however, it is expected to be twice that of the US. The middle age group and the geriatrics population have the highest number of MetS cases with risk factors such as obesity, sedentary lifestyle, alcohol, inadequate, inadequate sleep, and a non-vegetarian diet. The complications of MetS include obesity, diabetes, and cardiovascular events. A Meditteranean diet rich in fruits and vegetables, whole grains, and olive oil as the source of fat is considered to be the only effective dietary management in MetS. Moreover, a high lean protein, low and complex carbohydrate and moderate unsaturated fats have also shown positive progress in MetS, especially with long-term weight reduction. Micronutrients requirements also increase in MetS. Fulfilling these increased requirements has been shown to regulate and improve the metabolism of fats and carbohydrates. Vitamin C and E, flavonoids, vitamin D, conjugated linoleic acid, omega-3 fatty acids, minerals such as magnesium and chromium, &#x3B1;-lipoic acid, phytoestrogens, and dietary fiber all have been studied to support the treatment of MetS along with aloe vera and other herbal products, yoga and aerobic exercises.&lt;/p&gt;</abstract>
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        <title locale="en_US">Standard of Living of HIV Positive Individuals Visiting HIV Clinic Services Hospital, Lahore</title>
        <abstract locale="en_US">&lt;p&gt;HIV is caused by the Human Immunodeficiency Virus and leads to immunosuppression, thus making an individual easily susceptible to infections.This research was conducted in the HIV Clinic at Services Hospital Lahore to assess the living standards of HIV-positive patients visiting HIV Clinic. Therefore, the main objective of this study was to assess the standard of life in HIV-positive patients visiting the HIV Clinic of Services Hospital Lahore.&lt;strong&gt;Methods&lt;/strong&gt;: It was a case-series study, conducted in the HIV clinic at Services Hospital Lahore. Data was collected from patients suffering from HIV-AIDS with the help of structured questionnaires. SPSS 23 software was used to enter, compile, and analyze the data.&lt;strong&gt;Results&lt;/strong&gt;: Result of this study showed that 50% of patients visiting HIV clinic Services Hospital Lahore are in the age group of 31-45 years. Male and married patients are predominant. The questionnaire had 35 questions which are transformed into 11 dimensions. Cronbach's &#x3B1; co-efficient were calculated for all multi-item scales and four out of eight scale.Cronbach's &#x3B1; for perceived health is 0.72, physical functioning is 0.79, health distress is 0.78, and cognitive function is 0.70. The total mean summary scores were also calculated. The dimensions affecting physical and mental health were added together under the summary score of physical and mental health. The added mean summary score &#xB1; SD for mental health is 55.4&#xB1;11.8 and for physical health is 41.5&#xB1;11.3.&lt;strong&gt;Conclusions&lt;/strong&gt;: The data indicates that patients with HIV/AIDS have an overall high standard of living. The stigma is that the patients consider themselves a bit exclusive, as AIDS is considered taboo in the Pakistani Muslim community. The research shows that patients with AIDS have excellent mental health, but their physical health is a bit worse depending on the burden of disease (virus). Thus, a conclusion can be made that HIV affects a person's physical health more than their mental health.&lt;/p&gt;</abstract>
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            <familyname locale="en_US"> Sarwar</familyname>
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            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences, University of Lahore Pakistan &#x2022; Lahore, Pakistan</affiliation>
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            <givenname locale="en_US">Talha </givenname>
            <familyname locale="en_US">Aftab</familyname>
            <affiliation locale="en_US">Department of Medicine, Services Institute of Medical Sciences, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Gauhar </givenname>
            <familyname locale="en_US">M. Azeem</familyname>
            <affiliation locale="en_US">Department of Neurology, Services Institute of Medical Sciences, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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            <givenname locale="en_US">Muhammad Hamza </givenname>
            <familyname locale="en_US">Bin Abdul Malik</familyname>
            <affiliation locale="en_US">Department of Medicine, Services Institute of Medical Sciences, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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            <givenname locale="en_US">Rabia </givenname>
            <familyname locale="en_US">Kanwal</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences, University of Lahore Pakistan &#x2022; Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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            <givenname locale="en_US">Ayesha </givenname>
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            <affiliation locale="en_US">Department of Pathology, Fatima Jinnah Medical University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>7@gmail.com</email>
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        <title locale="en_US">Prevalence of Neck Pain related to working hours among Bankers: A cross-sectional Study</title>
        <subtitle locale="en_US">Neck Pain among Bankers</subtitle>
        <abstract locale="en_US">&lt;p&gt;Work-related neck pain is demonstrated as neck pain that is produced or provoked by labor or the working atmosphere. It is one of the most common complaints especially among workers who use computer extensively at their workplace. Office work demands long time in front of computer screens and if there is lack of ergonomic use, lack of awareness of proper body positioning and the positioning of the desk, keyboard, and screen all lead to pain neck. &lt;strong&gt;Objective: &lt;/strong&gt;The objective of this study was to find the frequency of neck pain due to necktie among bankers. &lt;strong&gt;Methods: &lt;/strong&gt;It was a cross sectional study. Data was taken from 277 participants through Neck disability index questionnaire through convenient sampling technique from all the male workers of banks who were wearing tie on regular basis. Data was presented as bar charts and pie charts by using Statistical Package for social sciences version 25.&#xA0;&lt;strong&gt;Results: &lt;/strong&gt;About 184 (66.4%) were having pain in neck in past 6 months. About half of those who were suffering from pain have moderate pain 145 (86.8%), 14 (8.3) have mild pain and 8 (4.7%) were having severe pain in neck. &lt;strong&gt;Conclusion:&lt;/strong&gt;It is concluded that about 66.4% bankers were having pain and majority of bankers have moderate level neck pain due to prolong working hours.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Bankers,Musculoskeletal disorder, Neck pain,  Prevalence, Work related factors</keyword>
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            <affiliation locale="en_US">Senior Clinical Physiotherapist, AVICENA Medical Collage, Lahore </affiliation>
            <country>PK</country>
            <email>omerkhushi0101@gmail.com</email>
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            <givenname locale="en_US">wajeeha</givenname>
            <familyname locale="en_US">Zia</familyname>
            <affiliation locale="en_US">Riphah international university</affiliation>
            <country>PK</country>
            <email>wajeeha_z@yahoo.com</email>
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            <givenname locale="en_US">Ghazal </givenname>
            <familyname locale="en_US">Jamshaid </familyname>
            <affiliation locale="en_US">University of South Asia, Cantt campus Lahore. </affiliation>
            <country>PK</country>
            <email>ghazaljamshaid141@gmail.com</email>
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            <givenname locale="en_US">Bakhtawar</givenname>
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            <country>PK</country>
            <email>Khan.Bakhtawar@gmail.com</email>
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            <givenname locale="en_US">Jawad ul </givenname>
            <familyname locale="en_US">Hassan</familyname>
            <affiliation locale="en_US">University of Health Sciences, Lahore </affiliation>
            <country>PK</country>
            <email>jawad.hassan@gmail.com</email>
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            <affiliation locale="en_US">House officer, Hamid Latif hospital, Lahore </affiliation>
            <country>PK</country>
            <email>azhar.akram@gmail.com</email>
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        <title locale="en_US">Magnetic Resonance Imaging Evaluation of Knee Injuries in Footballers</title>
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        <subtitle locale="en_US">MRI Evaluation of Knee Injuries in Footballers</subtitle>
        <abstract locale="en_US">&lt;p&gt;MRI findings are essential to diagnose the severity of ligament tears in knee injuries in footballers. By using Magnetic Imaging Resonance we can accurately make diagnose and can determine the extent of damage to tissues and ligaments by grading them according to injuries. &lt;strong&gt;Objective: &lt;/strong&gt;The main objective of this study is to determine the MRI findings in patients of knee injuries in football players. &lt;strong&gt;MethodS: &lt;/strong&gt;A multicenter descriptive study conducted at University of Lahore Teaching hospital and National hospital during 4 months period. All symptomatic football players of both genders and age ranging from 16-40 year are included in this study. Our calculated sample size is 80. 1.5T MRI machine used for scans. All images were Proton density and T2 weighted images. &lt;strong&gt;Results: &lt;/strong&gt;This study includes 80 footballers complaining knee pain. Mean age of all subjects was 31.4 +, - 5.7 year. Among 80 patients who had knee injuries, 56 patients (70%) had ACL injuries, 14 patients (17.5%) had PCL injuries, 14 patients (17.5%) had LCL injuries, 8 patients (10%) had MCL injuries, 24 patients (30%) had LM injuries, and 31 patients (38.8%) had MM injuries. &lt;strong&gt;Conclusion: &lt;/strong&gt;MRI is useful imaging modality for the detection of soft tissue injuries most commonly sports injuries. It gives more accurate and detailed information of ligaments and muscle tears than any other modalities. In our study most common injuries that are detected by MRI are ACL tear, bucket handle tear of medial meniscus and MCL injuries. PCL injuries are less common than ACL injuries.&lt;/p&gt;
&lt;p&gt;&#xA0;&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Knee injuries, sports injuries, ligamentoust ears, football injuries and MRI</keyword>
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            <givenname locale="en_US">Syeda</givenname>
            <familyname locale="en_US">Bisma Haq</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences the University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>syedabisma847@gmail.com</email>
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            <givenname locale="en_US">Noraiz</givenname>
            <familyname locale="en_US">Ali</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences the University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>noraiz.ali@rsmi.uol.edu.pk</email>
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            <givenname locale="en_US">Muhammad</givenname>
            <familyname locale="en_US">Zakir</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences the University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>Muhammad.zakir@rsmi.uol.edu.pk</email>
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            <givenname locale="en_US">Syed Muhammad</givenname>
            <familyname locale="en_US">Yousaf Farooq</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences the University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>Muhammad.yousaf5@rsmi.uol.edu.pk</email>
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            <givenname locale="en_US">Arooj</givenname>
            <familyname locale="en_US">Fatima</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences the University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>Aroojfatima5454@gmail.com</email>
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            <givenname locale="en_US">Afifa</givenname>
            <familyname locale="en_US">Niaz</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences the University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>afifa.niaz786@gmail.com</email>
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            <givenname locale="en_US">Zunaira</givenname>
            <familyname locale="en_US">Murtaza</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences the University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>mzunaira700@gmail.com</email>
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            <givenname locale="en_US">Zoya Ghaffar</givenname>
            <familyname locale="en_US">Chughtai</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences the University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>zoyaghaffar9692@gmail.con</email>
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            <givenname locale="en_US">Rahma</givenname>
            <familyname locale="en_US">Asif</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences the University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>Rahmaasif11111@gmail.com</email>
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            <givenname locale="en_US">Shuja Haider</givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences the University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>Shujahaide1997@gmail.com</email>
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            <country>PK</country>
            <email>faisalmughal862@gmail.com</email>
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        <title locale="en_US">Frequency of Grade (III) Knee Osteoarthritis (OA) Among Women in Lahore Pakistan</title>
        <subtitle locale="en_US">Grade (III) Knee Osteoarthritis (OA) Among Women</subtitle>
        <abstract locale="en_US">&lt;p&gt;To determine Grade (III) Knee Osteoarthritis (OA) among Women in Lahore Pakistan. &lt;strong&gt;Study Design:&lt;/strong&gt; Cross sectional study. &lt;strong&gt;Place and Duration of Study:&lt;/strong&gt; Kannan physiotherapy and spine clinic.6 months(November 2020-April 2021).&lt;strong&gt;Methods:&lt;/strong&gt;Sample size of this study was100. Inclusion Criteria is Females with Grade (III) knee osteoarthritis age from 55-70 years were included. And Exclusion criteria is females with the history of malignancy and the females who did not give us the consent were excluded. Convenient Sampling technique was used.The data was collected by using The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Data was analyzed by using SPSS version 21. &lt;strong&gt;Results: &lt;/strong&gt;According to the results of this study the mean age of participants were 53.8+ 6.024. Out of 100 participants (11)11%marked that they feel no pain while walking. (13)13%marked slight pain(25)25%marked moderate pain(24)24%marked very pain(27)27%marked extreme pain while walking. Out of 100 participants (12)12%marked that they feel no pain while stair climbing.(13)13%marked slight pain(24)24%marked moderate pain(25)25%marked very pain(26)26%marked extreme pain while stair climbing. &lt;strong&gt;Conclusion:&lt;/strong&gt;This research concluded that the frequency of knee pain among women was very high. Due to this knee pain many daily life activities including rising from the bed, lying in the bed, using toilet or bending on the floor. Many light and heavy domestic duties of women were also affected due to knee pain.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Osteoarthritis, Body Mass Index, Posture</keyword>
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            <givenname locale="en_US">Sana </givenname>
            <familyname locale="en_US">Tauqeer </familyname>
            <affiliation locale="en_US">The University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>sanakhan2333444@gmail.com</email>
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            <givenname locale="en_US">Hammad </givenname>
            <familyname locale="en_US">Shakeel </familyname>
            <affiliation locale="en_US">Muhammadi Medical Trust Hospital</affiliation>
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            <email>1@gmail.com</email>
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            <givenname locale="en_US">Adnan </givenname>
            <familyname locale="en_US">Ikram  </familyname>
            <affiliation locale="en_US">The University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Fahad</givenname>
            <familyname locale="en_US"> Kafeel </familyname>
            <affiliation locale="en_US">Aziz Bhatti Shaheed Hospital Gujrat Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Noor</givenname>
            <familyname locale="en_US">  ul Ain </familyname>
            <affiliation locale="en_US">Department of Physiotherapy, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
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            <givenname locale="en_US">Namra</givenname>
            <familyname locale="en_US"> Farooq </familyname>
            <affiliation locale="en_US">Department of Physiotherapy, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>namrafarooq43@gmail.com</email>
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        <title locale="en_US">Frequency of dental caries in 1-5 years aged children and its impact on their quality of life</title>
        <abstract locale="en_US">&lt;p&gt;Oral diseases can vastly depreciate the individual&#x2019;s quality of life. It has also been considered as the most important oral health burden worldwide. It can also have significant implications on the functional, mental, and social well-being of the individual. This has been found as a preventable dental and oral health issue which have also been amongst the most prevalent chronic disease. &lt;strong&gt;Objectives: &lt;/strong&gt;To estimate the frequency of dental caries and its impact on the quality of children&#x2019;s life in Hafiz- Abad, Pakistan. &lt;strong&gt;Methods: &lt;/strong&gt;It was a cross sectional analytics based study spanning around nine months. Three hundred and seventy children (aged between 1-5 years) were included as subjects, who visited the District Headquarter (DHQ) hospital, Hafiz Abad, Lahore, Pakistan. Dental caries were measured by using decayed missing filled (DMF) index. Data was collected and analyzed by using SPSS version 23.0. &lt;strong&gt;Results: &lt;/strong&gt;A high prevalence frequency of 243 (65.7%) were found suffering from dental caries. High prevalence of dental caries (70%) in children of low literate parents has been found statistically significant (p=0.035). As far as brushing frequency is concerned 93.8% children were not found brushing their teeth prior to breakfast. Theassociation between brushing frequency prior to breakfast and formation of dental caries was found statistically significant (p&amp;lt;0.001). &lt;strong&gt;Conclusion:&lt;/strong&gt;High prevalence of dental caries coupled with high severity level was found associated with the worse dental and oral hygiene awareness levels amongst the preschool children and their parents&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Tallat Anwar</givenname>
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            <givenname locale="en_US">Muhammad Saleem</givenname>
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            <affiliation locale="en_US">District Head Quarter hospital (DHQ), Gujranwala, Pakistan</affiliation>
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        <title locale="en_US">Role Of Ultrasound In Assessment Of Endometrial Thickness In Secretory Phase Of Infertile Females</title>
        <subtitle locale="en_US">Role of Ultrasound in Assessment of Endometrial Thickness in Infertile Females</subtitle>
        <abstract locale="en_US">&lt;p&gt;Infertility in women is caused by a variety of hereditary and acquired uterine problems. Ultrasound has been found to be a good, quick, safe, and cost-effective way to assess the size, quantity, and location of abnormalities and to measure endometrial thickness in different phases of menstrual cycle.&lt;strong&gt;Objective: &lt;/strong&gt;The main objective of this study wasto evaluate roleof ultrasound in assessment of endometrial thickness in infertile females of secretory phase. &lt;strong&gt;Methods: &lt;/strong&gt;This is a descriptive study, including eighty two females age 24 to 46 years from University ultrasound clinic, Lahore after the approval of ethical committee of Allied health sciences, University of Lahore. Informed consent was taken before including the subjects in the study. Data was collected according to data collection sheets. &lt;strong&gt;Results: &lt;/strong&gt;The results showed that primary infertility (54.9%) is more in females than secondary infertility (45.1%). There were 10(47.6%) females in primary infertility with 9-12mm endometrial thickness and 11(52.4%) in secondary infertility. 24(57.1%) females in primary infertility with 13-16mm endometrial thickness and 18(42.9%) in secondary infertility. 11(68.8%) females in primary infertility with 17-20mm endometrial thickness and 5(31.3%) in secondary infertility. 3(100%) females in secondary infertility with 21-24mm endometrial thickness.&lt;strong&gt;Conclusion: &lt;/strong&gt;Female patients who initially taking infertility treatment had less endometrial thickness in proliferative phase; their endometrial thickness maybe increased in early secretory phase or at 21&lt;sup&gt;st&lt;/sup&gt; day of their menstrual cycle but they had lost their chance to conceive the pregnancy in proliferative phase due to less endometrial thickness. The females should know the normal endometrial thickness in different phases of their menstrual cycle to conceive the pregnancy.&#xA0; This study shows ultrasound plays a vital role in detecting endometrial thickness in infertility treatment.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Hurmat </givenname>
            <familyname locale="en_US">Zahra</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, Faculty of Allied Health Sciences, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>hurmatz1010@gmail.com</email>
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            <givenname locale="en_US">Syed Muhammad Yousaf </givenname>
            <familyname locale="en_US">Farooq</familyname>
            <affiliation locale="en_US">Department of Radiology, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Syeda Khadija </givenname>
            <familyname locale="en_US">tul Sughra</familyname>
            <affiliation locale="en_US">Department of Radiology, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Naveed </givenname>
            <familyname locale="en_US">Asad</familyname>
            <affiliation locale="en_US">University Ultrasound Clinic, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Nimra</givenname>
            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, Faculty of Allied Health Sciences, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Hassam </givenname>
            <familyname locale="en_US">Ul Din</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, Faculty of Allied Health Sciences, University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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            <givenname locale="en_US">Aneeqa </givenname>
            <familyname locale="en_US">Zainab</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, Faculty of Allied Health Sciences, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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            <givenname locale="en_US">Kiran </givenname>
            <familyname locale="en_US">Latif</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, Faculty of Allied Health Sciences, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>7@gmail.com</email>
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            <affiliation locale="en_US">University Institute of Radiological Sciences &amp; Medical Imaging Technology, Faculty of Allied Health Sciences, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>8@gmail.com</email>
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        <title locale="en_US">Correlation of internet addiction with academic performance and general health in undergraduate physiotherapy students</title>
        <subtitle locale="en_US">Internet Addiction with Academic Performance and General Health</subtitle>
        <abstract locale="en_US">&lt;p&gt;There are billions of internet users now a days and this number is keep on increasing due to global digitalization. Mostly students are using internet for their study purpose but they are getting addicted to over use of internet other than study purpose. In long term &#xA0;this affects their academic performance as well as their health.&lt;strong&gt;Objective: &lt;/strong&gt;To determine the correlation of internet addiction with academic performance and general health in undergraduate physical therapy students. &lt;a name="_Toc47628480"&gt;&lt;/a&gt;&lt;a name="_Toc40018196"&gt;&lt;/a&gt;&lt;strong&gt;Methods:&lt;/strong&gt; This cross-sectional study was conducted on 345 physical therapy students of Lahore (Pakistan), who were selected via non- probability convenient sampling technique. Data was collected using Young's internet addiction and general health questionnaire and CGPA for academic performance. Data analysis was performed in SPSS version 21. &lt;a name="_Toc47628481"&gt;&lt;/a&gt;&lt;strong&gt;Results: &lt;/strong&gt;Correlation of internet addiction with general health and academic performance showed a significant association between internet addiction and general health. The p value was less than 0.05 which showed correlation between internet addiction and academic performance &lt;strong&gt;Conclusions: &lt;/strong&gt;There seen a positive Correlation of internet addiction with academic performance and general health in undergraduate physical therapy students&lt;/p&gt;</abstract>
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            <affiliation locale="en_US">Almarah Foundation Lahore</affiliation>
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            <email>aqsanaseemdpt@gmail.com</email>
            <biography locale="en_US">&lt;p&gt;Physiotherapist&lt;/p&gt;</biography>
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            <givenname locale="en_US">Zeest </givenname>
            <familyname locale="en_US">Hashmi</familyname>
            <affiliation locale="en_US">Riphah International University Lahore </affiliation>
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            <email>zeest.hashmi@riphah.edu.pk</email>
            <biography locale="en_US">&lt;p&gt;Assistant professor&lt;/p&gt;</biography>
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            <givenname locale="en_US">Seemab </givenname>
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            <biography locale="en_US">&lt;p&gt;Physiotherapist&lt;/p&gt;</biography>
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            <givenname locale="en_US">Taiba </givenname>
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            <affiliation locale="en_US">Riphah International UniversityLahore, Lahore, Pakistan.</affiliation>
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        <title locale="en_US">In Vitro study of Thrombolytic activity from the different parts of Carica papaya plant on COVID-19 patients.</title>
        <subtitle locale="en_US">Thrombolytic activity  of Carica papaya in COVID-19 patients</subtitle>
        <abstract locale="en_US">&lt;p&gt;&lt;em&gt;Carica papaya&lt;/em&gt; plant has been used for medicinal purpose throughout the world because it have anti-inflammatory, anti-oxidant, antiviral, anti-cancer and wound healing like properties. &lt;strong&gt;Objective:&lt;/strong&gt; To evaluate the thrombolytic activity of &lt;em&gt;Carica papaya&lt;/em&gt; plant in normal healthy individuals and COVID-19 patients to determine either parts of the plant (roots, seeds and leaves) exhibit more activity in normal persons or in COVID-19 patients. &lt;strong&gt;Methods:&lt;/strong&gt; For this study, total 20 blood samples were taken, 10 for normal individuals and 10 for positive COVID-19 patients. We used two different solvents i.e. autoclaved distilled water and concentrated methanol to prepare the 10% root, seed and leaf extracts of &lt;em&gt;Carica papaya&lt;/em&gt; plant. For the thrombolytic activity of these plant extracts, samples were arranged as a triplicate for the accuracy of results percentage.&#xA0;&lt;strong&gt;Results:&lt;/strong&gt; Our results evaluated that in normal individuals, distilled water root extract and methanolic seed extract exhibits maximum thrombolytic activity. The mean value with distilled water (root extract) and methanol (seed extract) is 36.9% and 32.9% respectively. While in covid-19 patients, distilled water leaf extract and methanolic leaf extract reveal maximum thrombolytic activity. In patients, the mean value with distilled water and methanol (leaf extract) is 21.8% and 23% respectively. &lt;strong&gt;Conclusions:&lt;/strong&gt; In our study, we have observed that normal persons showed highly significant results as compared to COVID-19 patients. Because in COVID-19 disease, plasminogen activator inhibitor 1 (PAI-1), thrombin activatable fibrinolysis inhibitor and tissue plasminogen activator (tPA) factors elevate which results in hypo-fibrinolysis.&lt;/p&gt;</abstract>
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            <affiliation locale="en_US">University Institute of Medical Lab Technology, The University of Lahore, Lahore,   Pakistan.</affiliation>
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            <email>3@gmail.com</email>
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            <givenname locale="en_US">Zunaira </givenname>
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            <affiliation locale="en_US">University Institute of Medical Lab Technology, The University of Lahore, Lahore,   Pakistan</affiliation>
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            <givenname locale="en_US">Huma </givenname>
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            <affiliation locale="en_US">University Institute of Medical Lab Technology, The University of Lahore, Lahore,   Pakistan.</affiliation>
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            <email>5@gmail.com</email>
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            <affiliation locale="en_US">University Institute of Medical Lab Technology, The University of Lahore, Lahore,   Pakistan</affiliation>
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            <familyname locale="en_US"> Siddiqui</familyname>
            <affiliation locale="en_US">Faculty of Pharmacy, University of Lahore, Lahore, Pakistan</affiliation>
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            <givenname locale="en_US">Aysha </givenname>
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        <title locale="en_US">Impact Of Population Screening Programs On The Knowledge, Attitudes And Practices Regarding Prevention Of  Thalassemia</title>
        <abstract locale="en_US">&lt;p&gt;Beta Thalassemia is the most common genetic disorder in Pakistan. This study was conducted to assess the knowledge, attitudes and practices of parents of children suffering from Thalassemia with regards to disease prevention. It also determined the degree of social and religious opposition faced by these parents during implementation of preventive practices &lt;strong&gt;Methods: &lt;/strong&gt;A descriptive cross-sectional survey was conducted in the 36 districts of Punjab via nine regional centers of Punjab Thalassemia Prevention Project. 248 parents of Beta Thalassemia Major and Intermedia were interviewed using a pre-designed pre-tested structured questionnaire. All statistical analyses were conducted using Statistical Package for Social Sciences (IBM SPSS 23.0) &lt;strong&gt;Results: &lt;/strong&gt;83.5% of the respondents had adequate knowledge and 98.4% had positive attitudes. Knowledge and attitude were positively correlated (p=0.00). 93% opted for prenatal diagnosis and 91% opted for termination of affected fetus. Among these individuals 12% faced opposition from their family members when they went for diagnostic testing and this opposition rose to 20% when they had to opt for termination. The local religious clerics opposed prenatal diagnosis in 3% of the cases and termination in 7% of the cases &lt;strong&gt;Conclusion: &lt;/strong&gt;When compared to previous studies the knowledge, attitudes and practices of our study population was better. Thus, population screening programs have a positive impact on knowledge, attitudes and practices of caregivers of Thalassemia patients. However, social and religious opposition needs to be countered for further implementation of effective preventive practices.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Rija </givenname>
            <familyname locale="en_US">Tariq</familyname>
            <affiliation locale="en_US">Punjab Thalassemia Prevention Project,  Specialized Health Care &amp; Medical Education Department, Government of Punjab.</affiliation>
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            <givenname locale="en_US">Talha</givenname>
            <familyname locale="en_US"> Mahmud</familyname>
            <affiliation locale="en_US">Independent Health Researcher</affiliation>
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            <email>1@gmail.com</email>
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            <givenname locale="en_US">Shabnam</givenname>
            <familyname locale="en_US"> Bashir</familyname>
            <affiliation locale="en_US">Pathology Department, Fatima Jinnah Medical University.</affiliation>
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            <givenname locale="en_US">Samia </givenname>
            <familyname locale="en_US">Akhtar</familyname>
            <affiliation locale="en_US">Laboratory Technician, Punjab Thalassemia Prevention Project.</affiliation>
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            <givenname locale="en_US">Muhammad </givenname>
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            <affiliation locale="en_US">Department of Forensic Sciences, University Of Sawat.</affiliation>
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        <title locale="en_US">Effect of Zinc Supplement on Severity of Acute Diarrhea Among Children Under  Five Years of Age</title>
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        <abstract locale="en_US">&lt;p&gt;According to World Health Organization (WHO) approximately four million children less than 5 years of age in Asia, Africa, and Latin America die annually from diarrhea; and 80% of these deaths occur in the first year of life. Objective: To see how a zinc supplement influences the severity of acute diarrhea in children under the age of five. &lt;strong&gt;Methods: &lt;/strong&gt;In current study, we analyze the effect of zinc on diarrheal patients. Zinc was randomly assigned to diarrheal patients in different concentration 5 mg, 10 mg, 15 mg and 20 mg. There were two groups in our study, treatment and control group. &lt;strong&gt;Results: &lt;/strong&gt;The results are presented in the form of descriptive and inferential statistics. In T1 (Treatment Group) number of Diarrhea patients &amp;lt; 1 Year of age were 16, 2-4 years of age were 45, 4-5 years of age and maximum no of patients in T1 &amp;lt; 2 year of age were 57. Number of male patients were 84 while female patients were 67 in T1.In T2 (Control Group) number of male patients were 92 while female patients were &lt;span style="font-size: 0.875rem;"&gt;In T1 number of patients residing in urban area were 51 while rural were 100. In T2 number of urban were 69 while rural were 82.Number of patients stay in the hospital for one day were 67 ,15 for Four days and only 1 for seven days in T1. In T2 number of patients stay in the hospital for one day were 29, 17 for four days and only 6 for seven days. In T1 number of Patients with watery diarrhea were 87, Mucoid consistency of stool were 31,soft consistency of stool were 23 and formed consistency of stool were 9.In T2 watery diarrhea were 92,Mucoid consistency of stool were 25,soft consistency of stool were 31 and formed consistency of stool were 4. Frequency of stool significantly reduced (P&amp;lt;0.005) at 7&lt;/span&gt;&lt;sup&gt;th&lt;/sup&gt;&lt;span style="font-size: 0.875rem;"&gt; day of zinc treatment while consistency of stool was significantly improved (P&amp;lt;0.005) at day 3 and day 5 of zinc treatment. Children who received zinc supplements showed a marked improvement in all outcome measures, suggesting that this deficiency is amenable to correction by replacement.&lt;/span&gt;&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Diarrhea, Zinc, Children, Dehydration, Pakistan.</keyword>
        </keywords>
        <authors xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://pkp.sfu.ca native.xsd">
          <author include_in_browse="true" user_group_ref="Author" seq="18" id="432">
            <givenname locale="en_US">Shaista</givenname>
            <familyname locale="en_US">Jabeen</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences,The University of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>shaista.jabeen@ahs.uol.edu.pk</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="18" id="433">
            <givenname locale="en_US">Tanzeel </givenname>
            <familyname locale="en_US">Shafique</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences,The University of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="18" id="434">
            <givenname locale="en_US">Shahnai </givenname>
            <familyname locale="en_US">Basharat</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences,The University of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="18" id="435">
            <givenname locale="en_US">Anees Ahmed</givenname>
            <familyname locale="en_US"> Khalil</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences,The University of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="18" id="436">
            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Ali</familyname>
            <affiliation locale="en_US">Newfold University, Canada</affiliation>
            <country>CA</country>
            <email>muhammadali@yahoo.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="18" id="437">
            <givenname locale="en_US">Mudasir </givenname>
            <familyname locale="en_US">Saeed</familyname>
            <affiliation locale="en_US">International Education College ,Chinese and Western Medicine Clinic, Dalian Medical University, China,Dalian, Liaoning116044</affiliation>
            <country>CN</country>
            <email>mudasirsaeed048@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="18" id="438">
            <givenname locale="en_US">Numan </givenname>
            <familyname locale="en_US">choohan</familyname>
            <affiliation locale="en_US">Department of Biochemistry,University of Agriculture, Faisalabad</affiliation>
            <country>PK</country>
            <email>numanchoohan@gmail.com</email>
          </author>
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        <title locale="en_US">Effects Of Remote Myofascial Release Of Sub-Occipital Region In Asymptomatic Individuals With Hamstrings Tightness</title>
        <subtitle locale="en_US">Remote Myofascial Release Of Sub-Occipital Region</subtitle>
        <abstract locale="en_US">&lt;p&gt;The purpose of this study was to research the effect of performing Remote myofascial release of sub occipital region in asymptomatic individual with hamstring tightness. Keeping these muscles loose is important. If muscles have tightened up then muscles are working at less than 100 % of capacity and performance will be down as a result.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;The objective of this study was to find out the effect of performing Remote myofascial release of sub occipital region in asymptomatic individual with hamstring tightness.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;The study was a Quasi experimental trial and was conducted in Physiotherapy center for arthritis. 64participant in this research &amp;amp; divided into 2 Groups. (Group A was&#xA0;&#xA0; treated with static Stretching exercises of hamstrings and Group B was treated with remote Myofascial release of sub occipital region and static Stretching exercises). For analysis we were used Knee Extension angle and Sit to reach test at baseline and after 2 weeks of treatment in both groups. Data analysis was done by SPSS.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Result&lt;/strong&gt;s: p value of within the group comparison for&#xA0; knee extension angle and Sit to reach test score was significant i.e. &amp;lt;0.001.Mayofascial Release of sub occipital region and static stretch give us best result.IN group A Pre-treatment knee extension angle was 14.68 &amp;amp; post treatment 10.87 with mean difference 3.81 P &amp;lt;0.01.In Group B pre-treatment knee extension angle 14.78.&amp;amp; post-treatment&#xA0;&#xA0; knee extension angle 13.75 with mean difference 11.03 &amp;amp; p&amp;lt;0.001 which concludes that remote myofascial release of sub-occipital region improve the flexibility of hamstring tightness.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;The current study concludes that myofascial release of sub occipital region along with static stretching and static stretching alone, both are effective in improving flexibility in patients with hamstring tightness. However, myofascial release of sub occipital region along with static stretching is more effective than static stretching alone.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Irfan </givenname>
            <familyname locale="en_US">Ahmad</familyname>
            <affiliation locale="en_US">Central Park Medical College, Lahore, Pakisan</affiliation>
            <country>PK</country>
            <email>faani.khan04@gmail.com</email>
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            <givenname locale="en_US">Tabassum </givenname>
            <familyname locale="en_US">Manzoor</familyname>
            <affiliation locale="en_US">Muzaffar Abad General Hospital, Muzaffar Abad, Azad Jammu &amp; Kashmir, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Saima </givenname>
            <familyname locale="en_US">Riaz</familyname>
            <affiliation locale="en_US">Ripha College of Rehabilitation Sciences, Ripha International University Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Muhammad</givenname>
            <familyname locale="en_US"> Zeeshan</familyname>
            <affiliation locale="en_US">THQ Hospital Jampur, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Mehboob </givenname>
            <familyname locale="en_US">Ali</familyname>
            <affiliation locale="en_US">Central Park Medical College, Lahore, Pakisan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Uzma </givenname>
            <familyname locale="en_US">Faiz</familyname>
            <affiliation locale="en_US">Zoology Department, Ghazi University, D.G.Khan</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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        <title locale="en_US">Nutraceutical Intervention of Seeds in the Treatment of Poly Cystic Ovarian Syndrome; A Systematic Review</title>
        <subtitle locale="en_US">Nutraceutical Intervention; Seed Cycling</subtitle>
        <abstract locale="en_US">&lt;p&gt;In poly cystic ovary syndrome multiple cysts formation occurs in female ovaries. It is highly prevalent in developing countries like Pakistan and India. Its symptoms include irregular menstrual cycle, abnormal hair growth pattern, acne and mood swings. This disease is also associated with imbalance in androgen levels (which include testosterone and estrogen) and high insulin levels also called hyperinsulinemia. It also contributes in the development of type 2 diabetes, heart disease and cancers. Seed cycling is a modern method used in alternate medicine of treating PCOS by using different seeds in the different stages of menstrual cycle. In this review article we will find out how seed cycling is effective in the treatment of PCOS. Flax, sesame, pumpkin and sunflower seed combinations are being used at different stages of female menstrual cycle. Flaxseeds contain lignans, omega 3 fatty acids and fibre which help in relieving the symptoms of polycystic ovaries. Sesame and sunflower seeds contain high number of fatty acids and lignans which helps in balancing hormonal disturbances in female. Losing weight by having diet rich in fibre improve the level of cholesterol and it is also beneficial decreasing the level of insulin resistance, which if not treated can progressed into type 2 diabetes mellitus and its complications. Herbal medicine in Ayurveda has shown promising effects in relieving pre- menstrual symptoms, hormonal fluctuations and the co-morbidities.&amp;nbsp;&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Poly cystic ovary syndrome, seed therapy, holistic medicine, flaxseed, sesame seed, pumpkin seed and sunflower seed</keyword>
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            <givenname locale="en_US">Maria</givenname>
            <familyname locale="en_US">Aslam</familyname>
            <affiliation locale="en_US">The University of Lahore</affiliation>
            <country>PK</country>
            <email>maria.aslam@ahs.uol.edu.pk</email>
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            <givenname locale="en_US">Rameesha </givenname>
            <familyname locale="en_US">Shauket</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences UIDNS, The University of Lahore UOL, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Zoha</givenname>
            <familyname locale="en_US"> Yousaf</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences UIDNS, The University of Lahore UOL, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Kinza </givenname>
            <familyname locale="en_US">Tehzeeb</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences UIDNS, The University of Lahore UOL, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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        <abstract locale="en_US">&lt;p&gt;Mechanical Neck Pain(MNP)&#xA0; is&#xA0; a&#xA0; term&#xA0; used&#xA0; to&#xA0; describe&#xA0; pain&#xA0; that results from stress or strain on&#xA0; the structures of the vertebral&#xA0; column. Factors such&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0; as alteration in the anatomical structures, sprain or strain of the muscles or ligaments, and adaptation to a faulty posture can result in First rib dysfunction has been identi&#xFB01;ed as a potential cause for faulty dynamic,&#xA0; static,&#xA0; traumatic&#xA0; or&#xA0; congenital&#xA0; factors, may contribute to the development of elevated &#xFB01;rst rib dysfunction. &lt;strong&gt;Objective:&lt;/strong&gt; Was to determine the effects of Mulligan&#x2019;s mobilization with movement on first rib to reduce pain and improve cervical rotation in mechanical neck dysfunction. &lt;strong&gt;Material and methods:&lt;/strong&gt; This study Quasi-experimental trial was done at PT CARE MM Alam road Lahore. The study was completed within the time duration of six months (July-Dec 2019) after the approval of synopsis. A total of 26 cases (13 in each group) were divided into 2 groups. Group A and Group B were treated with conventional exercise program and with Mulligan&#x2019;s mobilization with movement on first rib and conventional exercise program only respectively. Bubble inclinometer and NPRS tools were used to measure cervical rotation and Pain respectively. Data analysis was done by SPSS 21.&lt;strong&gt;Results:&lt;/strong&gt; The mean change in NPRS was statistically higher in group-B (5.46 &#xB1; 0.78) as compared to group-A (2.62 &#xB1; 0.87), p-value &amp;lt; 0.001. The mean change in cervical rotation (ROM) was statistically higher in group-B (17.46 &#xB1; 5.19) as compared to group-A (31.23 &#xB1; 4), p-value &amp;lt; 0.001. &lt;strong&gt;Conclusion:&lt;/strong&gt; It is concluded that Mulligan&#x2019;s mobilization with movement on first rib and conventional exercise program had statistically significant change in reduction of pain and had higher improvement in cervical rotation (ROM) right and left. Hence, by combining conventional treatment and Mulligan&#x2019;s mobilization , maximum clinical benefits to reduce pain and improve cervical rotation can be attained in mechanical neck dysfunction&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Neck pain, range of motion, mechanical, cervical rotation</keyword>
        </keywords>
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            <givenname locale="en_US">Irfan </givenname>
            <familyname locale="en_US">Ahmad </familyname>
            <affiliation locale="en_US">Central Park Medical College, Lahore </affiliation>
            <country>PK</country>
            <email>faani.khan04@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="19" id="420">
            <givenname locale="en_US">Saima </givenname>
            <familyname locale="en_US">Riaz </familyname>
            <affiliation locale="en_US">Ripha College of Rehabilitation Sciences, Ripha International University, Lahore </affiliation>
            <country>PK</country>
            <email>saima.riaz.rz@gmail.com</email>
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          <author include_in_browse="true" user_group_ref="Author" seq="19" id="419">
            <givenname locale="en_US">Uzma </givenname>
            <familyname locale="en_US">Faiz</familyname>
            <affiliation locale="en_US">GHAZI UNIVERSITY, DERA GHAZI KHAN</affiliation>
            <country>PK</country>
            <email>hadigurmani8@gmail.com</email>
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          <author include_in_browse="true" user_group_ref="Author" seq="19" id="421">
            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Sulaman</familyname>
            <affiliation locale="en_US">Govt High School, Makoraywala, Dera Ghazi Khan</affiliation>
            <country>PK</country>
            <email>gurmanidgk786@gmail.com</email>
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            <givenname locale="en_US">Muhammad</givenname>
            <familyname locale="en_US"> Zeeshan </familyname>
            <affiliation locale="en_US">THQ HOSPITAL, JAMPUR</affiliation>
            <country>PK</country>
            <email>muhammadzeeshan404@yahoo.com</email>
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            <givenname locale="en_US">Tabassum </givenname>
            <familyname locale="en_US">Manzoor </familyname>
            <affiliation locale="en_US">Muzaffar Abad General Hospital, Muzaffar Abad, AJK</affiliation>
            <country>PK</country>
            <email>tabasam_khokhar@yahoo.com</email>
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        <title locale="en_US">Effect of depression and anxiety on quality of life among cardiovascular patients visiting Tertiary Care hospital Lahore</title>
        <subtitle locale="en_US">Effect of depression and anxiety on QoL among cardiovascular patients</subtitle>
        <abstract locale="en_US">&lt;p&gt;Cardiovascular diseases (CVD) are the leading cause of death worldwide. Mental disorders like anxiety and depression are common among cardiovascular patients. These mental disorders have adverse effect on quality of life (QoL) among these patients which further increases mortality and morbidity among them &lt;strong&gt;Objective: &lt;/strong&gt;The propose of this study was to assess the effect of anxiety and depression on quality of life among cardiovascular patients&lt;strong&gt; Methods:&lt;/strong&gt; A cross sectional study was performed at Sir Ganga Ram Hospital Lahore. 100 patients of CVD were selected by non-probability sampling technique. All patients of both genders aged above 18 years with diagnosed CVD were included. In order to measure the anxiety and depression among cardiovascular patients, Hospital Anxiety and Depression Scale (HADS) and WHOQOL was used to assess the QoL of patients &lt;strong&gt;Results: &lt;/strong&gt;Out of total 100 patients, there were 47 females and 53 males. Patients mean age was 54.87 &#xB1; 16.66. Among CVD patients, 52 were borderline cases and 33 were abnormal cases of anxiety. 56 cases were borderline and 28 were abnormal cases of depression. Anxiety and depression had adverse effect on QoL among CVD patients. Low scores were found for physical, psychological and environmental domains of WHOQOL. A significant association was found between social relationships domain of &#xA0;WHOQOL with anxiety and depression and the level of significance was p-values 0.016 and 0.043 respectively. There was significant association between psychological domain of QoL with depression (P=0.039) and monthly income (P=0.016). There was insignificant association between educational level, sex, age with QoL, anxiety and depression &lt;strong&gt;Conclusions: &lt;/strong&gt;Study concluded that anxiety and depression have negative impact on QoL and are risk factors for health-related QoL among CVD patients. Persons attending medical care are usually not being assessed for anxiety due to lack of facilities, lack of understanding of disease and over burden of patients. They are responsible for greater mortality and morbidity in CVDs. The depression and Anxiety are the mediating factors and it must be taken into consideration in clinical practices when QoL is considered as a clinical prerequisite&lt;/p&gt;</abstract>
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        <copyrightYear>2021</copyrightYear>
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          <keyword>Cardiovascular disease patients, anxiety, depression, quality of life.</keyword>
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            <givenname locale="en_US">Andleeb</givenname>
            <familyname locale="en_US">Shakoor</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences UIDNS, The University of Lahore UOL, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Hafsa </givenname>
            <familyname locale="en_US">Kamran</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences UIDNS, The University of Lahore UOL, Lahore, Pakistan. </affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Maryam</givenname>
            <familyname locale="en_US"> Shakoor</familyname>
            <affiliation locale="en_US">King Edward Medical University, Lahore</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Sidra </givenname>
            <familyname locale="en_US">Khalid</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences UIDNS, The University of Lahore UOL, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Sughra </givenname>
            <familyname locale="en_US">Shakoor</familyname>
            <affiliation locale="en_US">Benazir Bhutto Medical College, Mirpur</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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            <givenname locale="en_US">Maria</givenname>
            <familyname locale="en_US">Aslam</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences UIDNS, The University of Lahore UOL, Lahore, Pakistan. </affiliation>
            <country>PK</country>
            <email>maria.aslam@ahs.uol.edu.pk</email>
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            <givenname locale="en_US">Hina</givenname>
            <familyname locale="en_US">Shakoor</familyname>
            <affiliation locale="en_US">King Edward Medical University, Lahore</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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        <title locale="en_US">Need Assessment for Faculty Development in Wah Medical College</title>
        <subtitle locale="en_US">Need Assessment for Faculty Development </subtitle>
        <abstract locale="en_US">&lt;p&gt;Introduction: Faculty development (FD) is defined broadly as the range of activities that institutions use to assist faculty in their roles and fields including teaching, research and administration. And faculty is now expected to be more effective and creative in their teaching methods. Objectives: To determine the needs assessment for faculty development. Study Design: Cross sectional study. Place and duration of study: Wah Medical College, January- June 2019. &amp;nbsp;Methodology: A questionnaire was prepared after the review of literature. It had two parts; demographic profile and responses of the faculty on various aspects regarding needs assessment. Questionnaires were distributed to all the faculty members of college. Data was analyzed by SPSS and frequencies were calculated. T-test was used with p value of 0.05. Result: 90 faculty members responded back. Out of these 90, 34(37.8%) were in favor of 1 workshop per year. 59(65.6%)wanted half day workshop. 75(83.3%) members wanted workshops to be on weeks days. 66(73.3%) favored one-day workshops. 71(78.9%), 47(52.2%), 38(42.2%) don&#x2019;t attend workshops due to lack of time, institutional support, trained facilitators respectively. Conclusion: We concluded that the Wah medical college faculty is in need of faculty development programs that should be conducted by the medical education department with in the college. The college should facilitate the faculty in the best possible way especially considering the limitations and responsibilities of the female faculty.&amp;nbsp;&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
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          <keyword>needs assessment</keyword>
          <keyword>faculty development</keyword>
          <keyword>medical colleges</keyword>
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            <givenname locale="en_US">Khola</givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">Wah Medical College, National University of Medical Sciences, Rawalpindi, Pakistan</affiliation>
            <country>PK</country>
            <email>drkholakhan_12@yahoo.com</email>
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            <givenname locale="en_US">Musarat </givenname>
            <familyname locale="en_US">Ramzan</familyname>
            <affiliation locale="en_US">Wah Medical College, National University of Medical Sciences, Rawalpindi, Pakistan</affiliation>
            <country>PK</country>
            <email>musaratramzan@gmail.com</email>
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            <givenname locale="en_US">Saleh </givenname>
            <familyname locale="en_US">Ahmed</familyname>
            <affiliation locale="en_US">Wah Medical College, National University of Medical Sciences, Rawalpindi, Pakistan</affiliation>
            <country>PK</country>
            <email>dr.s.ahmed21@gmail.com</email>
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            <givenname locale="en_US">Sadia</givenname>
            <familyname locale="en_US">Nadeem</familyname>
            <affiliation locale="en_US">Wah Medical College, National University of Medical Sciences, Rawalpindi, Pakistan</affiliation>
            <country>PK</country>
            <email>sadianadeem39@gmail.com</email>
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        <title locale="en_US">Comparing The Validity Of Electronic Color Vision Test With Conventional Ishihara Pseudoisochromatic Plate Test</title>
        <subtitle locale="en_US">Validity Of Electronic Color Vision Test</subtitle>
        <abstract locale="en_US">&lt;p&gt;Many ocular diseases can affect color vision of a patient which will ultimately reduce many daily based activities. Measuring color vision of a patient can help deciding any management plan for that patient. &lt;strong&gt;Objectives:&lt;/strong&gt;&lt;span style="font-size: 0.875rem;"&gt;To compare the validity of electronic color vision test with conventional pseudoisochromaticishihara plates and to find out easiest and appropriate method of color vision testing.&lt;/span&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This was a cross-sectional study involving the use of structured proforma and questionnaire to evaluate the validity of electronic color vision test and conventional ishihara plate test. A sample size of 80 individuals with normal and mild degree of refractive error was examined and results were recorded in self-designed proforma. &lt;strong&gt;Results: &lt;/strong&gt;&lt;span style="font-size: 0.875rem;"&gt;Eighty individuals were enlisted; 35 were males (43.8%) and 45 (56.3) were female; age ranged from 14 to 56 (average 34.2&lt;/span&gt;&lt;u style="font-size: 0.875rem;"&gt;+&lt;/u&gt;&lt;span style="font-size: 0.875rem;"&gt; 12.2) years. By conventional ishihara testing 68 patients gave 100% results (n = 68; 85%) and 12 gave 75% (n = 12; 15%) results. In electronic color vision test 69 individuals gave 100% ( n = 69; 86.3%) results and 11 gave 75% (n = 11; 13.7%) results. 45% peoples are satisfied with their electronic color vision test, 20% satisfied with both methods however 35% are satisfied with conventional method. Prevalence of color vision defect is higher in males as compared to females. &lt;/span&gt;&lt;strong&gt;Conclusions&lt;/strong&gt;: This study found that the sensitivity and specificity of electronic color vision test and conventional ishihara test is nearly similar (p&amp;lt; 0.05). Electronic Ishihara color vision test is also a way of self assesment and also has the advantage of reducing the cost through decreasing resources and the time to analyze the results.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Bisma </givenname>
            <familyname locale="en_US">Rashid</familyname>
            <affiliation locale="en_US">Department of Allied Health Sciences, Superior University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>alirashid2272@gmail.com</email>
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            <givenname locale="en_US">Fatima </givenname>
            <familyname locale="en_US">Zahid</familyname>
            <affiliation locale="en_US">Department of Allied Health Sciences, Superior University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>fatimaramay2015@gmail.com</email>
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          <author include_in_browse="true" user_group_ref="Author" seq="20" id="402">
            <givenname locale="en_US">Ahmed </givenname>
            <familyname locale="en_US">Sohail  </familyname>
            <affiliation locale="en_US">Department of Allied Health Sciences, Superior University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>sohailmkd12@gmail.com</email>
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          <author include_in_browse="true" user_group_ref="Author" seq="20" id="403">
            <givenname locale="en_US">Hakim Anjum</givenname>
            <familyname locale="en_US">Nadeem</familyname>
            <affiliation locale="en_US">Al-Khair Trust Eye Hospital, Lahore, Pakistan</affiliation>
            <country>PK</country>
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        <title locale="en_US">Evaluating the efficacy of High-energy Extracorporeal Shockwave Therapy Aimed at Treating Calcified Shoulder (ESWT-CS): a study protocol for a randomized controlled trial </title>
        <subtitle locale="en_US">Efficacy of high-energy extracorporeal shockwave therapy in patients with calcified shoulder</subtitle>
        <abstract locale="en_US">&lt;p&gt;Shockwave therapy is a solid scientifically based medical tool used to manage calcified shoulder. This therapy, along with its pros and cons, is paving its way among armamentarium of interventions for musculoskeletal disorders. &lt;strong&gt;Objective:&lt;/strong&gt; To determine efficacy of extracorporeal shockwave therapy on subjective and objective measures in patients with calcified shoulder. &lt;strong&gt;Methods: &lt;/strong&gt;Single-blinded, parallel-group, randomized trial will be conducted on sample of 48 participants recruited through convenient sampling. Patients with calcified shoulder tendinopathy, aged between 30-55 years and both gender will be included. Outcome measures will be numeric pain rating scale, Constant and Murley score, Western Ontario rotator cuff index, shoulder ROM and radiological outcomes. Current study has been initiated in June 2020 till enrollment in December 2020.The quantitative data would present in the form of mean and standard deviation. After fulfilling the parametric assumptions, data will be analyzed using independent sample t-test/Mann Whitney test. Repeated measure ANOVA/Friedman test for pair-wise comparisons for follow-ups will be used to determine the effects of treatment within the groups at baseline, in 6&lt;sup&gt;th&lt;/sup&gt; week and 12&lt;sup&gt;th&lt;/sup&gt; week after commencement of treatment. &lt;strong&gt;Discussion:&lt;/strong&gt; Evidence reported related to shockwave therapy for tendinopathy shows less quality and less number of randomized trials done, with no comparable groups and methodological deficiencies of studies.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Trial registration:&lt;/strong&gt; Approval was obtained from Institutional Review Board Committee (ref: IRB-UOL-FAHS/693/2020). The study was registered on 28&lt;sup&gt;th&lt;/sup&gt; March 2020 in Iranian Registry of Clinical trials (IRCT), its registration reference number is IRCT20200204046373N1 &lt;a href="https://irct.ir/trial/45657"&gt;https://irct.ir/trial/45657&lt;/a&gt;.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Extracorporeal shockwave therapy, Calcified shoulder, Study protocol </keyword>
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            <givenname locale="en_US">Arooj </givenname>
            <familyname locale="en_US">Fatima</familyname>
            <affiliation locale="en_US">University Institute of Physical Therapy, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>arooj.fatima1@uipt.uol.edu.pk</email>
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            <givenname locale="en_US">Sundus</givenname>
            <familyname locale="en_US">Sohail</familyname>
            <affiliation locale="en_US">University Institute of Physical Therapy, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Filza</givenname>
            <familyname locale="en_US">Shoukat</familyname>
            <affiliation locale="en_US">University Institute of Physical Therapy, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Iqbal</givenname>
            <familyname locale="en_US">Nasir</familyname>
            <affiliation locale="en_US">University Institute of Physical Therapy, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Shiza</givenname>
            <familyname locale="en_US"> Kazmi</familyname>
            <affiliation locale="en_US">University of Management &amp; Technology, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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        <title locale="en_US">Evaluation OF Novel Hormone Asprosin And Its Role In Insulin Resistance In Neonatal Cord Blood Of Preeclamptic And Healthy Pregnant Mothers</title>
        <subtitle locale="en_US">Novel Hormone Asprosin And Its Role In Insulin Resistance In Neonatal Cord Blood </subtitle>
        <abstract locale="en_US">&lt;p&gt;Asprosin, a novel glucogenic adipokine, plays a complex role in central nervous tissue, peripheral tissues and other organs. It is involved in glucose metabolism, appetite, insulin resistance, cell apoptosis etc. This study aimed to find relationship between asprosin and other insulin resistance related-hormones in neonates of preeclamptic mothers. A comparative cross-sectional study was conducted on 42 neonates of preeclamptic pregnant mothers and 42 neonates of healthy pregnant mothers. Samples were taken from placentas at the time of delivery and were processed for estimation of asprosin, insulin, C-peptide and glucose hormones. Data was analysed using SPSS 21. Normality of the data was checked and Independent t-test was applied. A p-value of &#x2264;0.05 was considered significant. P-values of asprosin, insulin, C-peptide, glucose and HOMA-IR index were 0.020, 0.550, 0.360, 0.310 and 0.740, respectively when compared between neonates of preeclamptic pregnant mothers and healthy pregnant mothers.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Preeclampsia, insulin resistance, asprosin, insulin, HOMA-IR, Agouti-related protein (AgRP)</keyword>
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            <givenname locale="en_US">Nida</givenname>
            <familyname locale="en_US">Shafi</familyname>
            <affiliation locale="en_US">Department of Biochemistry, University of Health Science Lahore, Punjab, Pakistan </affiliation>
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            <email>1@gmail.com</email>
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            <givenname locale="en_US">Rehana </givenname>
            <familyname locale="en_US">Mushtaq </familyname>
            <affiliation locale="en_US">Obs &amp; Gynae Department, National Medical College and Teaching Hospital, Parsa, Birgunj, Nepal</affiliation>
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            <givenname locale="en_US">Farhat </givenname>
            <familyname locale="en_US">Bano</familyname>
            <affiliation locale="en_US">Department of Biochemistry, University of Health Science Lahore, Punjab, Pakistan</affiliation>
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            <email>ffarhathussain@hotmail.com</email>
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        <title locale="en_US">Effects of Chlorpyrifos on biochemical characteristics of Labeorohitafish during acute and chronic exposure</title>
        <subtitle locale="en_US">Effects ofChlorpyrifos on biochemical characteristics of Labeorohita</subtitle>
        <abstract locale="en_US">&lt;p&gt;The aim of present study was to examine the biochemical characteristics of &lt;em&gt;Labeorohita&lt;/em&gt; fish during acute and chronic exposure of pesticide, chlorpyrifos (CPF). &lt;strong&gt;Methods:&lt;/strong&gt;During acute exposure, fish were exposed to different concentrations of CPF ranging from 0, 0.005, 0.006, 0.007, 0.008, 0.009, 0.01, 0.02, 0.03, 0.04 and 0.05 mg/L for 96 hrs in glass aquaria. The 96 hrs LC&lt;sub&gt;50 &lt;/sub&gt;value of CPF for &lt;em&gt;Labeorohita&lt;/em&gt; was found to be 0.01 mg/L. During chronic exposure fish were subjected to 1/3&lt;sup&gt;rd&lt;/sup&gt;, 1/5&lt;sup&gt;th&lt;/sup&gt;, 1/7&lt;sup&gt;th&lt;/sup&gt; and 1/9&lt;sup&gt;th&lt;/sup&gt; of LC&lt;sub&gt;50&lt;/sub&gt; for 30 days. At the end of the trial, samples were collected for biochemical (Blood cells, haemoglobin, plasma glucose and plasma protein) and sent to related laboratories. &lt;strong&gt;Results:&lt;/strong&gt;The present study showed the RBCs, haemoglobin and Plasma Glucose level decreases as the concentration of CPF increases. On the other hand, platelets, WBCs and Plasma glucose level increases as the concentration of CPF increases. Decrease in RBCs count and haemoglobin indicates that CPF can cause anaemia to the fish. &lt;strong&gt;Conclusions&lt;/strong&gt;: It is therefore concluded that Chlorpyrifos adversely affects the major organs of the fish &lt;em&gt;Labeorohita&lt;/em&gt;.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Adeeba </givenname>
            <familyname locale="en_US">Syed</familyname>
            <affiliation locale="en_US">Department of Biology, Lahore Garrison University, Phase-VI, DHA, Lahore Pakistan</affiliation>
            <country>PK</country>
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        <title locale="en_US">Platelets and D-dimer as the Biomarkers for COVID-19</title>
        <subtitle locale="en_US">Platelets and D-dimers as Biomarkers for  COVID-19</subtitle>
        <abstract locale="en_US">&lt;p&gt;COVID-19, a highly contagious and rapidly spreading viral infection caused by the new corona virus SARS-COV-2, was first identified in China. On March11th, 2020 World Health Organization announced it a pandemic. The novel infection which is still being studied has a wide range of severity, ranging from no symptoms to severe pneumonia that can lead to death &lt;strong&gt;Objective: &lt;/strong&gt;To find correlation between D-Dimer and platelets count with the severity of the disease &lt;strong&gt;Methods: &lt;/strong&gt;It was a cross sectional study. The duration of the study was 6 months from November, 2020 to May 2021. The study was conducted in University Institute of Medical Laboratory Technology (UIMLT), University of Lahore. Data of 101 COVID-19 positive patients was taken from Shaukat Khanum Hospital, Farooq Hospital &amp;amp; University of Lahore Teaching Hospital (UOL), Lahore. Hematological and biochemical parameters such as Complete blood count (CBC), D-Dimer, Lactate Dehydrogenase (LDH), Platelet count (PLT) and Ferritin levels were observed. The data was analyzed using Statistical Package for Social Sciences (SPSS) Version 21.0. P-value less than and equal to 0.05 was taken as significant &lt;strong&gt;Results: &lt;/strong&gt;Platelet count was decreased in severe patients of COVID-19 and was statisticallysignificant (P-value = 0.004) LDH, D-dimer, and Ferritin were increased with severity of disease and they were also statistically significant (P-value 0.005, 0.000. 0.027) respectively &lt;strong&gt;Conclusions:&lt;/strong&gt;The platelet count, D-Dimer, LDH and Ferritin levels could act as the biomarker to determine the severity in COVID-19 infection&lt;/p&gt;
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            <givenname locale="en_US">Sabrina</givenname>
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            <affiliation locale="en_US">University institute of medical laboratory technology (UIMLT), University of Lahore</affiliation>
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            <email>sabrina.rashid@mlt.uol.edu.pk</email>
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        <title locale="en_US">Prices, Availability And Affordability Of Essential Medicines For Non-Communicable Diseases: A Facility Based Survey In District Abbotabad</title>
        <subtitle locale="en_US">Availability And Affordability Of Essential Medicines For Non-Communicable Diseases</subtitle>
        <abstract locale="en_US">&lt;p&gt;&lt;strong&gt;Background:&lt;/strong&gt; Non communicable diseases (NCDs) are spreading like an epidemic worldwide. Essential medicines are crucial for prevention and control of NCDs. World Health Organization (WHO) has set a benchmark of 80% availability of essential medicines in public and private facilities. Availability being a predictor of access to medicines is low in Low and Middle income countries (LMICs). The objective of this study is to determine price, availability and affordability of essential medicines for NCDs in District Abbottabad. &lt;strong&gt;Methods: &lt;/strong&gt;This study was based on the standardized protocol provided by WHO and Health Action International (HAI) for determination of availability, prices and affordability of medicines. A total of 50 medicines for NCDs that were enlisted in Essential Medicine List of district Khyber Pakhtun Khawa were selected for the study. Twenty seven medicine dispensing facilities belonging to public, private and other basic health units (BHUs) (managed by PPHI) sectors were surveyed in the district. Simple random sampling was employed to select facilities. &lt;strong&gt;Results: &lt;/strong&gt;The mean overall percentage availability of essential medicines for NCDs was 0.1% for original brand and 1.9% for low price generic in public sector. Overall availability was better in private and other sectors (32.9% for OB and 13.8% for LPGs and 5.3% for OB and 11.1% for LPG respectively). The prices in public procurement sector were competitive. The median price ratio (MPR) in public procurement sector was 0.56. Prices were higher comparatively in private sector with MPR 2.83. Most of the medicines require less than a day wage to buy 30 days treatment. &lt;strong&gt;Conclusions: &lt;/strong&gt;The availability of essential medicines for NCDs was poor in District Abbottabad. None of the sectors reached the benchmark of 80% with regard to availability of medicines. LPGs were not frequently available in the private sector. However, prices were reasonable in public sector and acceptable in private sector. Medicines were found to be affordable but affordability may differ for people living below poverty line of US $1.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Khizran </givenname>
            <familyname locale="en_US">Mir</familyname>
            <affiliation locale="en_US">Ayub Teaching Hospital, Abbottabad</affiliation>
            <country>PK</country>
            <email>khizranmir@gmail.com</email>
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            <givenname locale="en_US">Hafsa</givenname>
            <familyname locale="en_US"> Ayyub</familyname>
            <affiliation locale="en_US">University Institute of Radiological and Medical Imaging Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>hafsaa.ayyub@gmail.com</email>
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        <pages>97-102</pages>
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        <title locale="en_US">Role of Multi Detector Computed Tomography in the Evaluation of Hepatic Masses</title>
        <subtitle locale="en_US">Multi Detector CT to evaluate Hepatic Masses</subtitle>
        <abstract locale="en_US">&lt;p&gt;The liver is at risk of various diseases which include benign and malignant. The rich blood supply by hepatic artery and portal vein.&#xA0;&lt;strong&gt;Objective:&lt;/strong&gt; To find the role of multi detector computed tomography in the evaluation of hepatic masses.&#xA0;&lt;strong&gt;&#xA0;&lt;/strong&gt;&lt;strong&gt;Methods:&lt;/strong&gt; It was cross-sectional analytical study. It involves 162 patients suffering from liver masses visiting Shalimar hospital, Lahore. Consecutive sampling method was used. Analyses by using SPSS version 21.0. &lt;strong&gt;Results:&lt;/strong&gt; In this study, 162 patients visited radiological department because all the patients were suffering from different hepatic masses. Out of 162 patients, 116 patients were males and 46 patients were females. In these 162 patients, 112 patients (69.9%) were suffering from HCC, 55 patients (34%) were suffering from abscess, 42 patients (26.9%) were suffering from multiple cysts, 12 patients (8%)were suffering from FNH, 9 patients (7.4%) were suffering from hemangioma, 4 (2.5%)patients were suffering from hydatid cyst and 2 patients (1.2%) were suffering from lymphoma.&#xA0;&lt;strong&gt;Conclusion:&lt;/strong&gt; Triple phases CT helps in better diagnosis of different types of hepatic masses and our study concludes that the prevalence of HCC is higher than other masses. It also provide information about enhancement of liver lesion with the help of images. CT also helps in diagnosis of different liver lesions in arterial, venous and delayed phase.&lt;/p&gt;
&lt;p&gt;&#xA0;&lt;/p&gt;
&lt;p&gt;&#xA0;&lt;/p&gt;</abstract>
        <source locale="en_US">source from internet</source>
        <rights locale="en_US">NO</rights>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
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        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>This research is about 7 hepatic masses.</keyword>
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          <agency>NO</agency>
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            <givenname locale="en_US">Ishtiaq ur rehman</givenname>
            <familyname locale="en_US">Rehman</familyname>
            <affiliation locale="en_US">Department of Radiological Sciences, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>70101826@student.uol.edu.pk</email>
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            <givenname locale="en_US">Syed Muhammad Yousaf</givenname>
            <familyname locale="en_US">Farooq</familyname>
            <affiliation locale="en_US">Department of Radiological Sciences, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Adnan </givenname>
            <familyname locale="en_US">Ashraf</familyname>
            <affiliation locale="en_US">Department of Radiological Sciences, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Muhammad Zakir</givenname>
            <familyname locale="en_US"> Khan</familyname>
            <affiliation locale="en_US">Department of Radiological Sciences, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Hafiz Syed Arslan</givenname>
            <familyname locale="en_US">Gilani</familyname>
            <affiliation locale="en_US">Department of Radiological Sciences, The University of  Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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            <givenname locale="en_US">Muhammad Arslan</givenname>
            <familyname locale="en_US">Faisal</familyname>
            <affiliation locale="en_US">Department of Radiological Sciences, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>arslanf756@gmail.com</email>
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        <title locale="en_US">Analysing the Positive Impact of COVID-19 Lockdown on Educators in Higher Education Institutions of Pakistan: AN Exploratory Research</title>
        <subtitle locale="en_US">Analysing The Impact Of Covid-19</subtitle>
        <abstract locale="en_US">&lt;p&gt;Lockdowns have been implemented worldwide to halt the development of the COVID-19 pandemic, owing to the virus's potential threat and infectious nature. The coronavirus outbreak has wreaked havoc on the world and poses a serious hazard due to the virus's infectious nature&lt;strong&gt;Objective:&lt;/strong&gt;To examine the positive and negative impacts of COVID-19 on educators (250) teaching at various public and private higher educational institutions in Pakistan during the lockdown&lt;strong&gt;Methods:&lt;/strong&gt;A Google form was used to conduct an online cross-sectional survey. The questionnaire included questions about the following topics: demographic information. demographic details, physical exercise, health consciousness, relationship with family members, social relationship, Information and technology (IT) skills, digital courses, research activities, work from home, time spent on social media, expenditures, and lockdown activities. The sample was collected from 1st January 2021 to 12th May 2021 and 250 responses were recorded from the educators working from homethrough the snowball sampling technique. The data were analyzed through SPSS version 25. &lt;strong&gt;Results: &lt;/strong&gt;The findings revealed an overall reduction in expenditures, preference for healthy and homemade food, adequate intake of supplements, enhancement of professional grooming (E-courses and IT skills), quality time with family, improvement in social relationships with family, friends, and colleagues. Conversely, the study also brought to the light negative impact of COVID-19 lockdown, for instance, overindulgence in social media, sedentary lifestyle, hard time-saving money, inadequate training for online classes, increased workload, strict schedule, incessant fear of downsizing, and pay cuts.&lt;strong&gt;Conclusions:&lt;/strong&gt;The study recommends that educatorsengage themselves in yoga, meditation, physical exercise, and eat a healthy diet. Furthermore, they should continue upskilling the professional development through E-courses and technology-based skills.&lt;/p&gt;</abstract>
        <source locale="en_US">No</source>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Keywords: Educators, Positive impact, Negative impact, Lockdown, Online courses, and business</keyword>
        </keywords>
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            <givenname locale="en_US">Farhana</givenname>
            <familyname locale="en_US">Tabassum</familyname>
            <affiliation locale="en_US">University Institute of Medical Lab Technology (UIMLT), Faculty of Allied Health Sciences (FAHS), The University of Lahore, Lahore,  Pakistan</affiliation>
            <country>PK</country>
            <email>farhana.tabassum@mlt.uol.edu.pk</email>
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            <givenname locale="en_US">Bahisht</givenname>
            <familyname locale="en_US">Rizwan</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences (UIDNS), Faculty of Allied Health Sciences (FAHS), The University of Lahore, Lahore</affiliation>
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            <email>b_rizwan33@hotmail.com</email>
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            <givenname locale="en_US">Syeda Rida Shah </givenname>
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            <affiliation locale="en_US">University Institute of Medical Lab Technology, Faculty of Allied Health Sciences, The University of Lahore,  Pakistan</affiliation>
            <country>PK</country>
            <email>ridashah012@gmail.com</email>
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            <givenname locale="en_US">Sabrina</givenname>
            <familyname locale="en_US">Rashid</familyname>
            <affiliation locale="en_US">University Institute of Medical Lab Technology, Faculty of Allied Health Sciences, The University of Lahore,  Pakistan</affiliation>
            <country>PK</country>
            <email>sabrina.rashid@mlt.uol.edu</email>
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            <givenname locale="en_US">Fareeha</givenname>
            <familyname locale="en_US">Bashir</familyname>
            <affiliation locale="en_US">University Institute of Medical Lab Technology, Faculty of Allied Health Sciences, The University of Lahore,  Pakistan</affiliation>
            <country>PK</country>
            <email>fareeha.bashir@mlt.uol.edu</email>
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            <givenname locale="en_US">Kainat</givenname>
            <familyname locale="en_US">Waheed</familyname>
            <affiliation locale="en_US">University Institute of Medical Lab Technology, Faculty of Allied Health Sciences, The University of Lahore,  Pakistan</affiliation>
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            <email>kainat.waheed@mlt.uol.edu.pk</email>
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            <givenname locale="en_US">Syeda Warda Shah</givenname>
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            <affiliation locale="en_US">Institute of  Biochemistry and Biotechnology University of Veterinary and animals Sciences, Lahore, Pakistan  </affiliation>
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            <country>PK</country>
            <email>rabialatif14@gmail.com</email>
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        <title locale="en_US">Pharmacovigilance in Pakistan: A Peek into the Future Prospects</title>
        <subtitle locale="en_US">Pharmacovigilance in Pakistan</subtitle>
        <abstract locale="en_US">&lt;p&gt;The dire need for drug monitoring and surveillance principles are practices governing the safety profiles of the medicines arose following the 1960&#x2019;s Thalidomide disaster that resulted in phocomelia in thousands of new born babies [1]. Since then Pharmacovigilance centers have been established in the member countries, which report all the untoward drug reactions to Uppsala Monitoring Centre (UMC) that is designated to perform further investigations and global dissemination of the necessary information [2]. Currently 134 countries that are collaborating with UMC of which 96% are developed while 27% are developing countries which are lagging behind as per the unavailability of infrastructure and resources [3].&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Pakistan National Pharmacovigilance Centre (PNPC)&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Ministry of health initiated pharmacovigilance activities in Pakistan in 1994; however a stable system could not be established owing to the unavailability of human resources as well as the infrastructure [4]. Later the suggestion for the establishment of Pakistan National Pharmacovigilance center (PNPC) was mentioned by the national drug policy in 2003 [5], however, the launch of the centre took place in 2012 following the tragic death of around 200 cardiac patients in Lahore as a result of an accidental mixing of Isosorbide mononitrate with Pyrimethamine that resulted in severe deficiency of folic acid, destroying the platelets and causing profuse internal bleeding [6,7]. In the view of the gravity of the situation, an independent authority for drug regulation (Drug regulatory authority of Pakistan &#x2013; DRAP) was founded under the orders of the Pakistan Supreme Court in 2018. This authority was established for ensuring availability and safety of the medications. In order to devise an infrastructure for the post-marketing drug surveillance, DRAP in collaboration with the Pharmacopoeia of US established PNPC in the year 2017 and by 2018 Pakistan was included as a member in the UMC [8].&lt;/p&gt;
&lt;p&gt;The centre has laid down protocols and practices for the international and national coordination and has added Pakistan 134&lt;sup&gt;th&lt;/sup&gt; on the drug monitoring WHO program. Currently the PNPC is being governed by the 2012 Act of DRAP for developing, promoting and regulating the pharmacovigilance system in the country and coordination with provincial sectors to empower the hospitals to establish their own pharmacovigilance centers [9].&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Future Perspectives of PNPC&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;PNPC has come a long way still being in infancy and is setting up future goals towards development. Proper guidelines have been formed and an organized system was established by PNPC till 2018 for reporting Adverse Drug Reactions (ADRs) online. Training workshops for the members are regularly carried out to keep the work force ready and updated about the regulatory and management aspects. A regional centre of PNPC was announced to be established in Islamabad in November, 2019 [10]. PNPC has also upgraded its recording, monitoring and reporting system for ADRs via affiliation with the VigiFlow database of the country permitting maximum control locally effectively managing and analyzing the country-wide data [11]. The provincial, market authority and public health stakeholders are called for regular meetings. PNPC has composed comprehensive guidelines and legislation regarding pharmacovigilance protocols that are meant to provide legal surveillance of the activities. In the long run, the PNPC is planning for the establishment of provincial pharmacovigilance centers in each province, and the sub-regional centers and integrating them into the national database. Good practices of pharmacovigilance will utilize the obtained data to bring about safety protocols. However, a number of hurdles are still in the way. There are constraints related to logistics and legal matters as well as finances. There is a requirement of a collaborated effort by all the stake holders in the country.&lt;/p&gt;
&lt;p&gt;Healthcare professionals have a limited awareness about PNPC protocols and a reluctance to report the adverse events. The main issue is getting the healthcare workers and public normalized and used to with the reporting and surveillance system in order to cope up with the reluctance to report and awareness about the protocols. The success of this system is actually two way and it depends on the response from the reporting stake holders as much as it does on the system of the organization itself. The public health programs, hospitals and healthcare units need to be encouraged to participate in the PNPC system for proper reporting and detection of serious ADRs. Training and awareness sessions need to be conducted to form and normalize a reporting culture among heath care workers in Pakistan.&lt;/p&gt;
&lt;p&gt;Methods for assessment of severity, detection of cause and preventability of the reported ADRs, need further standardization. Furthermore, the international collaboration is still deficient as the WHO data bank does not have any adverse effect reported data from Pakistan; therefore, the gap needs to be filled as a priority.&lt;/p&gt;
&lt;p&gt;Although a lot still needs to be don e, a clear &#xA0;progress has been noted in the past couple of years. With the introduction of new guidelines and strategies; route to further progress is clearly marked but the effort has to involve all the stake holders which will start by the realization and understanding of the significance and need for a properly functional pharmacovigilance system in the country.&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Shumaila </givenname>
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        <abstract locale="en_US">&lt;p&gt;This study was conducted to find effect of storage time and temperature on platelet indices of samples taken in EDTA. &lt;strong&gt;&lt;em&gt;Methods:&lt;/em&gt;&lt;/strong&gt;In this study 100 samples without the specification of gender were included. CBC samples were taken in two EDTA vials from each patient. All the samples were separated in two groups. One sample group was stored at room temperature(RT) and other at 2-6&#xB0;C. CBC was run on CBC analyzer Sysmex XN-1000 at 0 hours, 4 hours, 12 hours and 24 hours. &lt;strong&gt;&lt;em&gt;Results: &lt;/em&gt;&lt;/strong&gt;There was significantly increasing trend for MPV, PDW and P-LCRat RT and decreasing trend at 4&#xB0;C when compared with 0 hours. PCT showed significant decreasing trend at 4&#xB0;C with respect to 0 hours. Significant decrease in platelet count was observed after storage at room temperature as well as at 4&#xB0;C. &lt;strong&gt;&lt;em&gt;Conclusion:&lt;/em&gt;&lt;/strong&gt;Although 4&#xB0;C consider as optimal temperature to transport specimen for CBC but Platelet Indices values varies significantly in comparison to baseline when stored at 4&lt;sup&gt;o&lt;/sup&gt;C and at room temperature. It seems prudent to conclude that if platelet pathology is the major drive for CBC test performance then specimen should be run without delay.&lt;/p&gt;</abstract>
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        <title locale="en_US">Maternal Serum Copeptin As a Biomarker For Intrauterine Growth Restriction</title>
        <subtitle locale="en_US">Serum Copeptin As a Biomarker For IUGR</subtitle>
        <abstract locale="en_US">&lt;p&gt;In obstetrical world, Intrauterine Growth Restriction (IUGR) occupies second slot as a cause of small for gestation neonates, first being premature birth, both of which result in potential neonatal morbidities and mortalities. IUGR is defined as an estimated fetal weight at one point in time at or below 10&lt;sup&gt;th&lt;/sup&gt; percentile for gestational age. Annually about thirty million babies suffer from IUGR and out of these about 75% are Asians. IUGR has been found to be associated with increased levels of Copeptin. As copeptin is a marker of endogenous stress, so increased copeptin levels can indicate fetal and maternal stress in IUGR&lt;/p&gt;&#xD;
&lt;p&gt;&lt;strong&gt;Objectives:&lt;/strong&gt; The objectives of this study were to the compare maternal serum copeptin levels in pregnancies with IUGR and pregnancies with adequate for gestational age fetuses and to establish the significance of copeptin as a biomarker for IUGR.&lt;/p&gt;&#xD;
&lt;p&gt;&lt;strong&gt;Methodology:&lt;/strong&gt; It was a cross-sectional comparative study in which maternal serum copeptin levels were measured and compared in 60 patients divided in two groups, pregnancies with IUGR and normal pregnancies with adequate for gestation age fetuses between 28-35 weeks of gestation&lt;/p&gt;&#xD;
&lt;p&gt;&lt;strong&gt;Results:&lt;/strong&gt; Maternal serum copeptin levels were raised in pregnant women with IUGR as compared to that in pregnant women with adequate for gestational age fetuses. Mean &#xB1; SD maternal serum copeptin levels were 97.5 &#xB1; 6 pg/ml in pregnant women with AGA fetuses and 121 &#xB1; 7.8 pg/ml in pregnant women with IUGR.&amp;nbsp;&lt;/p&gt;&#xD;
&lt;p&gt;&lt;strong&gt;Conclusions:&lt;/strong&gt; Maternal serum copeptin levels are raised in pregnancies with IUGR as compared to pregnancies with adequate for age fetuses which can represent as a possible clinical biomarker for identification of IUGR.&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Amber</givenname>
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            <country>IT</country>
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            <givenname locale="en_US">Hisham </givenname>
            <familyname locale="en_US">Nasief </familyname>
            <affiliation locale="en_US">Department of Obstetric and Gynecology, Faculty of Medicine, King Abdul Aziz University and Hospital, Jeddah, Saudi Arabia</affiliation>
            <country>SA</country>
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        <title locale="en_US">Significance of Ectopic Beats in Post Aortic Valve Replacement Arrhythmia Patients</title>
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        <abstract locale="en_US">&lt;p&gt;The incidence of new onset arrhythmia after conventional aortic valve replacement (AVR) is relatively high whereby atrial fibrillation (AF) in particular (30-40%). Arrhythmias increase postoperative morbidity, mortality and consequently health costs. The need for a reliable method for early detection and discrimination between low and high risk patients is therefore indispensable. For this reason this study examined the possible correlation between electrophysiological abnormalities on continuous ECG recordings and the initiation of arrhythmia directly after surgery. &lt;strong&gt;Methods and Results&lt;/strong&gt;: Both ECG and clinical data was collected from the hospitals filing system for all patient (n=107) who underwent surgical Aortic Valve Replacement (AVR) for non-rheumatic aortic valve stenosis or insufficiency for the period from January 2010 to December 2018.&#xA0; Continuous ECG data was converted into ISHNE-format and analyzed by using Synescope&#x2122; software. Data showed that one minute prior to arrhythmia, AF in particular, an increase of both supraventricular premature beats (SVPB) and missed beats (MB) was detected (n=33; P&amp;lt;0,05). However there was no correlation between arrhythmia and the overall SVPB incidence (n=33). Twenty-one out of 33 AVR patients developed a de novo intraventricular conductance delay directly after cardioplegic arrest, which persisted in 7 cases. &lt;strong&gt;Conclusions&lt;/strong&gt;: Although there is an increase of both SVPB and MB prior to arrhythmia startup, it is still questionable what is the true predictive value of these findings are. Additionally it appeared that a temporarily intraventricular conduction delay (IVCD) is a common finding after AVR.&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Bashar</givenname>
            <familyname locale="en_US">Rawashdeh</familyname>
            <affiliation locale="en_US">Queen Alia heart institute,Amman,Jordan.</affiliation>
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            <email>Rawashdehbashar31@gmail.com</email>
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            <email>3@gmail.com</email>
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        <title locale="en_US">A study of Microorganisms causing wound infections after Elective laparotomy</title>
        <subtitle locale="en_US">Microorganisms causing wound infections after Elective laparotomy</subtitle>
        <abstract locale="en_US">&lt;p&gt;Any purulent discharge from a closed surgical incision, after surgery, together with signs of inflammation of the surrounding tissue should be considered as Post operative (post-op) wound infection. There are two types of wounds in elective laparotomy: clean and contaminated wound &lt;strong&gt;Objective:&amp;nbsp; &lt;/strong&gt;To find out most causative microorganism involved in post-op wound infection in elective laparotomy cases at the Children Hospital and The Institute of Child Health Sciences, Lahore Pakistan. &lt;strong&gt;Methods:&lt;/strong&gt; It was a prospective observational study conducted on patients who developed wound infection after elective laparotomy. This study was conducted in the surgical Units I and II of Children Hospital Lahore, Lahore, Pakistan. The duration of the study was 11 months from January 2019 to November 2019. 150 patients were included in this study. Data was collected by convenient sampling technique. It was a hospital-based study in which patients from both genders were included. Data was obtained by a questionnaire. Patients were asked for wound condition and surgery details were taken to find out the reasons of wound infection. The data selected was analyzed using SPSS version 21.0. &lt;strong&gt;Results: &lt;/strong&gt;Out of total 150 patients who underwent elective laparotomy, 40% patients were identified with &lt;em&gt;Escherichia Coli&lt;/em&gt;, 13.3% patients identified &lt;em&gt;with Pseudomonas species&lt;/em&gt;, 13.3% patients had &lt;em&gt;klebsiella&lt;/em&gt;, 6.7% patients had &lt;em&gt;Pseudomonas Florescence&lt;/em&gt;, 6.7% people had &lt;em&gt;Acinetobacter&lt;/em&gt;, 6.7% had &lt;em&gt;Staphylococcus aureus&lt;/em&gt;, 13.3% did not show any growth. &lt;strong&gt;Conclusions: &lt;/strong&gt;It was concluded that most abundant microorganism isolated from patients who underwent elective laparotomy was &lt;em&gt;Escherichia coli&lt;/em&gt;. The most common reasons for wound infection were increase in number of surgeons and increase in duration of illness.&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Sofia </givenname>
            <familyname locale="en_US">Noor</familyname>
            <affiliation locale="en_US">University Institute of Public Health, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Tallat Anwar </givenname>
            <familyname locale="en_US">Faridi</familyname>
            <affiliation locale="en_US">University Institute of Public Health, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>tallat.anwar@pht.uol.edu.pk</email>
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            <givenname locale="en_US">Akash</givenname>
            <familyname locale="en_US"> John</familyname>
            <affiliation locale="en_US">University Institute of Radiological and Medical Imaging Sciences, The University of Lahore, Gujrat Campus, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Taimoor </givenname>
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            <affiliation locale="en_US">Department of Professional Health Technologies, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Asya</givenname>
            <familyname locale="en_US"> Noor </familyname>
            <affiliation locale="en_US">Services Institute of Medical Sciences, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Amna </givenname>
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            <affiliation locale="en_US">University Institute of Public Health, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>7@gmail.com</email>
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            <givenname locale="en_US">Neelam</givenname>
            <familyname locale="en_US"> Iqbal</familyname>
            <affiliation locale="en_US">Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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        <abstract locale="en_US">&lt;p&gt;Pterygium is more prevalent among people exposed to ultraviolet (UV) light. It occurs more often in people who live in warm climates and spend a lot of time outdoors in sunny or windy environments &lt;strong&gt;Objective: &lt;/strong&gt;To determine and the relation of different grade of pterygium with amount of induced corneal astigmatism &lt;strong&gt;Methodology:&lt;/strong&gt; This observational study was done in The Layton Rahmatulla Benevolent Trust (LRBT) hospital Multan road Lahore. A self-designed Performa was filled after clinically examining the patients. Frequency distribution/percentages of data were described, simple frequency tables and cross tables were formed to calculate the statistical results &lt;strong&gt;Results:&lt;/strong&gt; A total patients 50 with grades of pterygium and induce amount of astigmatism.&#xA0; There 31(62.0%) were male and 19(38.0%) were female and the mean age of the patient is 2.5. 21(42.0%) patients were grade 1 pterygium and 21(42.0%) patients were grade 2 and 8(16.0%) patents have grade 3 pterygium.&#xA0; The amount of astigmatism in grade 1 from 0.00 to 1.00 DC is 17(34.0%) patients, from 1.00 to 2.00 DC are 2(4.0%) patients and from 2.00 to 4.00 DC are 2 (4.0%). In grade 2 from 1.00 to 2.00 DC are 10(20.0%) patients, from 2.00 to 4.00 DC are 10(20.0%) patients and from greater than 4.00 DC 1(2.0%). In grade 3 from 1.00 to 2.00 DC are 2(4.0%) patients, from 2.00 to 4.00 DC are 4(8.0%) patients and from greater than 4.00 DC are 2(4.0%) patients &lt;strong&gt;Conclusions: &lt;/strong&gt;Result show that the present study verifies that as the pterygium reaches more than 1.00mm in size from the limbus it induce with the rule astigmatism and pterygium size increases, the amount of induced astigmatism also increases with direct proportion.&lt;/p&gt;</abstract>
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        <abstract locale="en_US">&lt;p&gt;Hepatocellular carcinoma (HCC) is a standout amongst the most widely recognized cancers around the world, and just as the alcoholic liver disease it is also progressed by extreme viral hepatitis B or C. At the early stage of the disease, numerous patients are asymptomatic consequently late diagnosis of HCC occurs resulting in expensive surgical resection or transplantation. On the basis of the alpha fetoprotein (AFP) estimation, combined with the ultrasound and other sensitive imaging techniques used, the non-invasive detection systems are available. For early disease diagnosis and its use in the effective treatment of HCC patients, the identification of HCC biomarkers has provided a breakthrough utilizing the molecular genetics and proteomics. In the current article, most recent reports on the protein biomarkers of HBV or HCV-related HCC and their co-evolutionary association with liver cancer are reviewed.&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Hamza Abbas </givenname>
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        <title locale="en_US">Strong risk factors for depression and anxiety in heart failure patients</title>
        <subtitle locale="en_US">Risk factors for depression &amp; anxiety in heart failure patients</subtitle>
        <abstract locale="en_US">&lt;p&gt;Despite advancing medical technology, Heart Failure (HF) is still a prevalent disease with high mortality and high health expenditure.To improve patient outcome and prognosis, it is important to identify the association of risk factors which leads to the co-morbid depression and anxiety in heart failure patients.&lt;strong&gt;Objectives: &lt;/strong&gt;To determine the association of depression and/or anxiety with age, gender and ejection fraction in heart failure patients.&lt;strong&gt;Methods:&lt;/strong&gt;It is ananalytical cross sectional study including 323 CHF patients who visited the to the Faisalabad Institute of Cardiology hospital Out-Patient Department, 250 were males and 73 were females, mean age was 54.1 &#xB1; 9.2 years having 70 years as maximum and 25 years as minimum.&amp;nbsp; Data collection was done using Hospital Anxiety and Depression Scale (HADS) questionnaire to assess depression and anxiety. Data was analyzed using SPSS version 24. For quantitative data, mean and standard deviation was calculated and for qualitative data frequency and percentages was calculated. To measure the association of anxiety and depression with age categories, ejection fraction and gender, chi square test was used. P values less than and equal to 0.05 were taken as significant.&lt;strong&gt;Results: &lt;/strong&gt;No association of depression and anxiety with gender and Left Ventricular Ejection Fraction (LVEF) was observed. However, depression and anxiety were found to be significantly associated with age.&lt;strong&gt;Conclusions: &lt;/strong&gt;The study concluded that age is a strong risk factor of depression and anxiety in congestive heart failure patients. Multidisciplinary health care team approach and interventions are required to cater chronic heart failure (CHF) patients to address the psychological burden.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Naila </givenname>
            <familyname locale="en_US">Niaz</familyname>
            <affiliation locale="en_US">Anesthesia and ICU department, Jaber Al Ahmad Al Sabah Hospital, Hawalli Governate, Kuwait</affiliation>
            <country>KW</country>
            <email>nailaniaz517@gmail.com</email>
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            <givenname locale="en_US">Syed Muhammad</givenname>
            <familyname locale="en_US"> Faraz Ali</familyname>
            <affiliation locale="en_US">Anestheisa and ICU department, Jahra Hospital, Jahra Governate, Kuwait</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Attaullah </givenname>
            <familyname locale="en_US">Younas</familyname>
            <affiliation locale="en_US">Cardiac Surgery Department Bahawalpur Victoria Hospital, Bahawalpur, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Tallat Anwar </givenname>
            <familyname locale="en_US">Faridi</familyname>
            <affiliation locale="en_US">University Institute of Public Health, Faculty of Allied Health Sciences, The University of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>tallat.anwar@pht.uol.edu.pk</email>
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            <givenname locale="en_US">Asif </givenname>
            <familyname locale="en_US">Hanif</familyname>
            <affiliation locale="en_US">University Institute of Public Health, Faculty of Allied Health Sciences, The University of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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        <citations>
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        <pages>48-52</pages>
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        <title locale="en_US">Virtual Classrooms during the Covid-19 pandemic</title>
        <abstract locale="en_US">&lt;p&gt;In order to contain the virus, lockdown was imposed and as a consequence, education delivery methods have changed drastically, with e-learning progressively identifiable, and teaching being carried out with the help of digital platforms.Teachers are struggling with Zoom and Google classrooms to teach students. The conventional style of lectures is deemed incompetent and has been criticized for its inadequacy in involving students, now the focus has been diverted on more innovative pedagogical methods, such as group training, peer interaction and integrated or 'flipped' learning. These practices can continue on-line and can help to develop and expand the interest of students. Multiple IT tools can now be incorporated as a teaching strategy so that Professors and teachers, rather than emphasizing on the classical lecture format, can bring innovation and interactivity to their teaching.&lt;/p&gt;&#xD;
&lt;p&gt;One of a very basic and interesting tool is&amp;nbsp;&lt;a href="https://feedbackfruits.com/blog/interactive-video-quick-setup-for-distance-education"&gt;Interactive Video&lt;/a&gt;. It allows teachers to enable students to practice questions and discussions while watching videos, by marking signs at specific moments during that video. Mostly the topics are previously taught so it`s easy for a student to understand the lesson. Students can even return back and watch the same video again, in order to develop thorough understanding of a topic. The performance of each student can be evaluated and this approach keeps track of their problems and the topics which are harder to understand. The students stay motivated as the feedback is instant and timely.&lt;/p&gt;&#xD;
&lt;p&gt;May educators take Quizzes as standard in classrooms, This learning format develops variety of discussion and suggestions.Apps like Kahoot, Socrative, Quizlet can result in effective classroom engagement. These apps when assigned, allow teachers to test understanding of students simultaneously. Quizzes may be in the form of open-ended short questionnaires, short answer question, true-false, or multiple choice questions. When the quiz iscreated by the educator and displayed, students can either use their laptops, computers or phones to respond. This is a synchronous type of interaction, where the teachers screen is displaying the questions,and students have to reply through their own devices.&lt;/p&gt;&#xD;
&lt;p&gt;It is difficult to engage students during online classes and this issue need to be resolved. If such an approach is adoptedwhich highlight students perspective into consideration rather than trying to accomplish a fake on-campus experience online. Novel methods to teach using digital technologycompliments the teaching system and adds creativity. The concept of virtual classroom is potentially off-putting and unfamiliar for new students, studying online for the first time. There are multiple factors influencingthe engagement and involvement of students in online system of teaching: it includes family of students due to which students are distracted and focus less during online sessions, additionally, there may be lack of proper technical facilities i.e they may either have no digital facility or older and slower versions which make it difficult for students to understand during the online classes. Therefore, teachers must keep all these issues in mind in order to impart proper knowledge to students and address the difficulties these students are facing. A proper and clear communication is the key to succeed in online teaching sessions.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Sana</givenname>
            <familyname locale="en_US"> Hassan</familyname>
            <affiliation locale="en_US">University College of Medicine and Dentistry, The University of Lahore, Teaching Hospital, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>sana.hassan@ucm.uol.edu.pk</email>
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        <title locale="en_US">Third wave of COVID -19 in Pakistan: New Variants with new travelers?</title>
        <subtitle locale="en_US">Third wave of COVID -19 in Pakistan: New Variants with new travelers?</subtitle>
        <abstract locale="en_US">&lt;p&gt;In Wuhan City, China, Corona or COVID-19&#x2018;s first case was reported in late December 2019 [1]. It is caused by SARS-CoV-2 also called as corona virus. This disease has now spread in in all countries and territories of the world including Pakistan. According to World Health Organization (WHO), 125,425,270 confirmed cases with 2,756,679 deaths&amp;nbsp;have been reported till date with highest positive cases encountered in USA followed by Brazil and India [2]. Pakistan, a developing country in the Asia, faces a big challenge with COVID-19.Ministry of Health in Karachi, Sindh Pakistan, reported first case of corona on February 26, 2020 [3]. The positive cases reported from Pakistan had travel history from Iran, London and Syria. The rapid rise of the positive cases of COVID-19 in first wave in Pakistan is attributed to mishandling of the pilgrims coming from Iran through Taftan, one of Pakistan&#x2019;s border crossings with Iran. Also, the students in China were returning back to Pakistan especially from the Wuhan, which is the site of the origin of the COVID-19&lt;/p&gt;</abstract>
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        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Naveed </givenname>
            <familyname locale="en_US">Akhtar</familyname>
            <affiliation locale="en_US">Government Graduate College Pattoki, Kasur, Pakistan</affiliation>
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            <givenname locale="en_US">Sara </givenname>
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          <citation>https://www.worldometers.info/coronavirus/</citation>
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        <abstract locale="en_US">&lt;p&gt;Tuberculosis is a typical reason for pericardial emission particularly in the emerging nations. Regardless of the decrease in mortality because of tuberculosis and a general diminishing in the occurrence, tuberculosis and its complexities stay a genuine medical issue. &lt;strong&gt;Objectives: &lt;/strong&gt;The main objective of the study is to analyse the tuberculous pericardial abscess presenting as multiple pericardial effusion and cardiac tamponade.&lt;strong&gt; Material and methods: &lt;/strong&gt;This randomized control trial study was conducted in Rashid Latif medical complex, Lahore during November 2020 to August 2021.&amp;nbsp; The data was collected from 10 patients. &lt;strong&gt;Results: &lt;/strong&gt;The patients was tachypnoeic, poisonous looking and in sepsis. Their important bodily functions showed the accompanying: respiratory pace of 24 breaths/min and tachycardia of 110 beats/min. Clinical assessment upheld the finding of heart problems. &lt;strong&gt;Conclusion: &lt;/strong&gt;It is concluded that tuberculosis stays a genuine medical condition. In this manner confusions like pericarditis, tamponade and boil are inescapable and in spite of satisfactory medication treatment, 33% to one portion of the patients in the long run require Pericardiectomy&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2022</copyrightYear>
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            <givenname locale="en_US">Areesha </givenname>
            <familyname locale="en_US">Shahid</familyname>
            <affiliation locale="en_US">Rashid Latif Medical Complex</affiliation>
            <country>PK</country>
            <email>areeshashahid345@gmail.com</email>
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            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Asif</familyname>
            <affiliation locale="en_US">Quaid e Azam Medical College</affiliation>
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            <givenname locale="en_US">Muhammad </givenname>
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            <givenname locale="en_US">Muhammad Zarrar </givenname>
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            <country>PK</country>
            <email>2@gmail.com</email>
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        <pages>156-158</pages>
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        <title locale="en_US">Role of Epigenetic alterations in the development of cancers </title>
        <abstract locale="en_US">&lt;p&gt;Many different factors are involved in the progression of cancers. Genes mutations and chromosomal abnormalities are normally considered main cause of cancers but there are some other reason for the development of cancers. Other cancer causing factors are known as epigenetic alterations [1,2]. Epigentic modification of genome is known as epigenetic alterations, lead toward cancer cells production. Epigentic modification does not cause change in sequences of nucleotide. Similar to genetic alteration epigenetic alteration can&#x2019;t be ignored [3]. Basically mechanisms behind epigenetic modifications are deregulation of DNA proteins, change in &lt;a href="http://en.wikipedia.org/wiki/CpG_island"&gt;CpG island&lt;/a&gt;&amp;nbsp;&lt;a href="http://en.wikipedia.org/wiki/DNA_methylation"&gt;methylation&lt;/a&gt;,&amp;nbsp; change in histone, oncogenes activation and deactivation of tumor suppressor [4].&lt;/p&gt;&#xD;
&lt;p&gt;Epigenetic alterations is directly linked with functional alterations of genome. &amp;nbsp;Alteration in &lt;a href="http://en.wikipedia.org/wiki/DNA_methylation"&gt;DNA methylation&lt;/a&gt;, &lt;a href="http://en.wikipedia.org/wiki/Histone_modification"&gt;histone d&lt;/a&gt;egeneration &amp;nbsp;and functional and structural abnormalities of chromosomes are the major examples of epigenetic modifications [5]. The main function of all epigenetic alterations is to modulate gene expression with same DNA &amp;nbsp;sequences. Means these changes never effect main basal sequence oF DNA [6], which remain same in&amp;nbsp;&lt;a href="http://en.wikipedia.org/wiki/Cell_division"&gt;cell division&lt;/a&gt; [7].&lt;/p&gt;&#xD;
&lt;p&gt;Many different types of cancers contains large number of epigenetic alterations, the most important of these are epigenetic alterations that occurs in DNA repair genes. These DNA repair genes drive slow expression of DNA&amp;nbsp; proteins. These abnormalities cause &lt;a href="http://en.wikipedia.org/wiki/Genome_instability"&gt;genetic&lt;/a&gt; unreliability, which is mainly considered as characteristic of various cancers [8,9].&amp;nbsp;&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2022</copyrightYear>
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            <givenname locale="en_US">Riffat</givenname>
            <familyname locale="en_US">Mehboob</familyname>
            <affiliation locale="en_US">Lahore Medical Research Center LLP, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>mehboob.riffat@gmail.com</email>
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        <pages>01-01</pages>
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        <title locale="en_US">Culture and Sensitivity Patterns of Various Bacteriological Agents among Children Admitted in Pediatric Department</title>
        <abstract locale="en_US">&lt;p&gt;The Culture of numerous contaminated fluids of the body are commonly used to determine the aetiology of infection and to help medicine specialists and pediatricians to select the suitable antimicrobial treatment. The objective of this analysis is to govern the culture and sensitivity patterns to bacteriological agents&#x2019; grownup in children. &lt;strong&gt;Methods:&lt;/strong&gt; This descriptive cross-sectional study was held at the Paediatric Medicine department of Abbasi Shaheed Hospital Karachi, for one-year duration from November 2020 to November 2021. All &#x2264;15-year-old children who met the criteria for sepsis and systemic inflammatory response syndrome were included in the study. Any body fluids or blood were cultivated in the suitable medium as specified. The sensitivity pattern and profile of the cultured microorganisms were recorded and documented in a pre-designed data sheet. SPSS v.22 was applied for data analysis. &lt;strong&gt;Results:&lt;/strong&gt; Of the 300 patients enrolled, 51 (17%) developed multiple organisms in culture and these have been described in more detail. Of these 51 patients with positive culture, 47.1% were male with a M:F ratio of 1.3: 1. Of the 51 patients, 21 (41.2%) were less than one- year old, and 14 (27.5%) were one to five years old, 9 (17.6%) was between 5 and 10 years old and 7 (13.7%) were 10 to 15 years of age. Twenty-three patients (45.1%) showed an increase in microorganisms in the blood smear. Throat swab, tracheal secretions and sputum cultures were positive in 11 patients (21.6%), CSF cultures were positive in 13 (25.5%), and urine cultures in 10 (19.6%), Swabs (ear and skin) cultures were positive in 7 (13.7%) and 3 (5.9%) have positive pleural fluid cultures. The most frequently isolated microorganism is Salmonella spp. (17.6%), Klebsiella spp. (15.7%), Escherichia coli (11.8%), Acinetobacter (9.8%), Staphylococcus aureus (7.8%), Pseudomonas aeruginosa (13.7%), Streptococcus pyogenes (7.8%), Stenotrophomonas maltophilia (3.9%) and Enterobacter spp. (7.23%). &lt;strong&gt;Conclusions:&lt;/strong&gt; The most frequently isolated microorganisms were Salmonella spp., Staphylococcus aureus, Klebsiella spp., E coli and Streptococcus pyogenes. The antibiotics resistance in various cultures is a warning in contradiction of overuse of antibiotics.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2022</copyrightYear>
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          <keyword>Blood, culture, pus, urine, antibiotics</keyword>
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            <givenname locale="en_US">Riffat </givenname>
            <familyname locale="en_US">Farrukh </familyname>
            <affiliation locale="en_US">Department of Pediatrics, Karachi Medical and Dental College and Abbasi Shaheed Hospital, Karachi, Pakistan</affiliation>
            <country>PK</country>
            <email>riffatfarrukh15@gmail.com</email>
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          <author include_in_browse="true" user_group_ref="Author" seq="0" id="1614">
            <givenname locale="en_US">Shaheen </givenname>
            <familyname locale="en_US">Masood </familyname>
            <affiliation locale="en_US">Department of Pediatrics, Karachi Medical and Dental College and Abbasi Shaheed Hospital, Karachi, Pakistan</affiliation>
            <country>PK</country>
            <email>shaheentaqi1@gmail.com</email>
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            <givenname locale="en_US">Farhina </givenname>
            <familyname locale="en_US">Nasir</familyname>
            <affiliation locale="en_US">Department of Pathology, Karachi Medical and Dental College, Karachi, Pakistan</affiliation>
            <country>PK</country>
            <email>farhina.nasir@gmail.com</email>
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            <givenname locale="en_US">Qamar </givenname>
            <familyname locale="en_US">Rizvi</familyname>
            <affiliation locale="en_US">Department of Pharmacology, Jinnah Medical and Dental College, Karachi, Pakistan</affiliation>
            <country>PK</country>
            <email>dr_qamar@hotmail.com</email>
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            <givenname locale="en_US">Ibrahim </givenname>
            <familyname locale="en_US">Shakoor</familyname>
            <affiliation locale="en_US">Department of Pediatrics, Karachi Medical and Dental College and Abbasi Shaheed Hospital, Karachi, Pakistan</affiliation>
            <country>PK</country>
            <email>ishakoor@yahoo.com</email>
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            <givenname locale="en_US">Amber </givenname>
            <familyname locale="en_US">Naseer</familyname>
            <affiliation locale="en_US">Department of Pediatrics, Karachi Medical and Dental College and Abbasi Shaheed Hospital, Karachi, Pakistan</affiliation>
            <country>PK</country>
            <email>splendid_dr06@yahoo.com</email>
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        <title locale="en_US">Analysis and outcome of single coronary artery detected on CCTA</title>
        <subtitle locale="en_US">Coronary Artery Detected on coronary computed tomography angiography</subtitle>
        <abstract locale="en_US">&lt;p&gt;A congenital abnormality known as a single coronary artery (SCA) is usually discovered by coincidence. SCA is thought to affect as little as 0.024% to 0.066% of people who have routine coronary artery catheterization. &lt;strong&gt;Objectives: &lt;/strong&gt;TSingle coronary arteries found on coronary angiography are the major focus of this investigation on coronary computed tomography angiography (CCTA).&lt;strong&gt; Material and methods: &lt;/strong&gt;The Rai Medical College in Bangalore conducted a cross-sectional study between April 2021 and November 2021. Pre-cardiac surgery assessment, evaluation of a coronary stent or graft, evaluation of cardiomyopathy or congenital heart disease, and evaluation of syncope were the most prevalent reasons for CCTA. These were followed by chest discomfort to rule out coronary artery disease. &lt;strong&gt;Results: &lt;/strong&gt;Significant differences were seen in SBP, DBP, PP, and BMI between the control and SCA groups (P0.05). Neither group differed substantially from the other in terms of age, FBG, TG, TC, HDL-C, or LDL-C (P0.05). &lt;strong&gt;Conclusion: &lt;/strong&gt;According to the course an abnormal artery takes, SCA can be divided into several unique subgroups for better understanding.&lt;/p&gt;</abstract>
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        <copyrightYear>2022</copyrightYear>
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          <keyword>CCTA, Artery, Patients, Signi</keyword>
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            <givenname locale="en_US">Ammar Abdul </givenname>
            <familyname locale="en_US">Rahman</familyname>
            <affiliation locale="en_US">Rai Medical College</affiliation>
            <country>PK</country>
            <email>ammar425@gmail.com</email>
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            <givenname locale="en_US">Amna </givenname>
            <familyname locale="en_US">Zainab</familyname>
            <affiliation locale="en_US">Sheikh Zayed Hospital, Lahore, Pakistan</affiliation>
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            <givenname locale="en_US">Ayesha </givenname>
            <familyname locale="en_US">Siddiqa</familyname>
            <affiliation locale="en_US">Fatima Jinnah Medical University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Muhammad Zarrar </givenname>
            <familyname locale="en_US">Arif Butt</familyname>
            <affiliation locale="en_US">Fatima Memorial Hospital, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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        <title locale="en_US">Awareness and practice of oral hygiene and its relation to socio-demographic factors among patients attending general OPD</title>
        <subtitle locale="en_US">Oral Hygiene &amp; its Relation to Socio-Demographic Factors</subtitle>
        <abstract locale="en_US">&lt;p&gt;Oral illness is a public health concern due to its high prevalence and huge societal effect. &lt;strong&gt;Objectives: &lt;/strong&gt;Oral hygiene knowledge and practise, as well as oral hygiene's association to socio-demographic variables, will be assessed among patients who visit the hospital's general outpatient department.&lt;strong&gt; Material and methods: &lt;/strong&gt;The results of this cross-sectional study were presented at Azra Naheed Medical College from July 2021 to December 2021. Participants in the research had to be over the age of 12 and able to verbally agree, comprehend and complete questions. Those with diabetes who refused to participate in the research were omitted from the results. &lt;strong&gt;Results: &lt;/strong&gt;The data was acquired from 112 patients who visited the outpatient section of the hospital. 33.23 x 10.98 = the average age of individuals who answered the survey (mean x standard deviation). There was a statistically significant difference (P 0.05) in the brushing behaviours of females and males when it came to oral health knowledge and behaviour. &lt;strong&gt;Conclusion: &lt;/strong&gt;To summarise, dental caries was found to be common among patients and that awareness of dental caries among the general population was a major predictor of dental caries among those who participated, as well as educational attainment and oral hygiene habits and residency and monthly income.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2022</copyrightYear>
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            <givenname locale="en_US">Tusneem</givenname>
            <familyname locale="en_US">Haider</familyname>
            <affiliation locale="en_US">Azra Naheed Medical College</affiliation>
            <country>PK</country>
            <email>tusneemhaider123@gmail.com</email>
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            <givenname locale="en_US">Zeeshan </givenname>
            <familyname locale="en_US">Yousaf</familyname>
            <affiliation locale="en_US">Lahore Medical and Dental College, Lahore, Pakistan</affiliation>
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            <email>2@gmail.com</email>
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            <givenname locale="en_US">Abdul Ghaffar </givenname>
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            <affiliation locale="en_US">IMO Zed Sawans</affiliation>
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            <affiliation locale="en_US">Bakhtawar Amin Medical and Dental College</affiliation>
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        <title locale="en_US">Identification of&#xA0;Patients having&#xA0;Pre-ACS Pain&#xA0;Impending Cardiac Events&#xA0;&amp; Their&#xA0;Risk&#xA0;Management</title>
        <subtitle locale="en_US">Pre-ACS Pain Impending Cardiac Events &amp; Their Risk Management</subtitle>
        <abstract locale="en_US">&lt;p&gt;If you're experiencing angina (UA), an acute myocardial infarction (AMI), or sudden cardiac death, you're suffering from an acute coronary syndrome (ACS). Southeast Asia, particularly Pakistan, has seen a dramatic rise in the prevalence of the disease. We aimed to identify incidence of Pre-ACS pain and to find out its association with future risk of any cardiac events. &lt;strong&gt;Methods:&lt;/strong&gt; Islamabad's KRL hospital hosted this Cross-Sectional Study from November 2021 to February 2022. All the patients presenting with the diagnosis of ACS for the first time were included in our study. Inferential statistics were performed using SPSS version 23 and the Chi square test. &lt;strong&gt;Results: &lt;/strong&gt;There were 72.7% men and 27.3% women. The average age was 57.12years. NSTMI was found in 30% of patients, followed by Anterior Wall MI in 20% and Acute Coronary Syndrome in 14.7%. Of the total population, 28% were in the normal BMI range and 49% were overweight or obese. BMI, obesity, sedentary lifestyle, fast food eating, smoking and exercise all have a significant p value when it comes to predicting cardiac events in patients. &lt;strong&gt;Conclusion: &lt;/strong&gt;About 80% to 90% of people who experience acute chest syndrome (ACS) do so for no apparent reason. Consistent medical investigations are required to rule out the possibility of underlying ischemic heart disease. To identify the communities at risk, a grading approach is required.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2022</copyrightYear>
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            <givenname locale="en_US">Muhammad</givenname>
            <familyname locale="en_US">Zeeshan</familyname>
            <affiliation locale="en_US">KRL Hospital, Islamabad Pakistan</affiliation>
            <country>PK</country>
            <email>zeeshan.dr@hotmail.com</email>
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            <givenname locale="en_US">Abdul Ghaffar </givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">BHU Thathi, Rawalpindi, Pakistan</affiliation>
            <country>PK</country>
            <email>agkhanniazi1838@gmail.com</email>
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            <givenname locale="en_US">Usman </givenname>
            <familyname locale="en_US">Ali</familyname>
            <affiliation locale="en_US">Bahria International Hospital, Rawalpindi Pakistan</affiliation>
            <country>PK</country>
            <email>uali8820@yahoo.com</email>
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            <givenname locale="en_US">Hassan </givenname>
            <familyname locale="en_US">Mumtaz </familyname>
            <affiliation locale="en_US">Maroof International Hospital, Islamabad, Pakistan</affiliation>
            <country>PK</country>
            <email>hassanmumtaz.dr@gmail.com</email>
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            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Ismail</familyname>
            <affiliation locale="en_US">Dow University of Health Science, Karachi, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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        <subtitle locale="en_US">Bupivacaine &amp; Dexemedetomidine in Analgesia </subtitle>
        <abstract locale="en_US">&lt;p&gt;For patients undergoing elective cesarean, spinal anesthesia has been considered a preferred method of anesthesia. Conventionally, Bupivacaine was used but now dexemetomidine, a newer drug as compared to Bupivacaine is being used. Due to short usage tenure of dexemetomidine as a spinal anesthesia, data regarding its afficacy is lacking in Pakistan&lt;strong&gt;.Objectives:&#xA0; &lt;/strong&gt;To compare the mean duration of spinal anasthesia between hyperbaric bupivacaine 0.5% alone versus hyperbaric bupivacaine 0.5% with dexmedetomidine on first analgesic request for women undergoing elective cesarean section alongwith examining the affect of BMI on Dexemedetomidine. &lt;strong&gt;Methods: &lt;/strong&gt;Spinal anesthesia was administered in the sitting position under sterile conditions with 25G pencil point needle. Patient was positioned in a supine position tilting towards left after successful intra thecal injection. Group A cases received hyperbaric 0.5% BPV (2.25ml) with 5ug DXM (0.25ml) and those in Group B received only 0.5% BPV (2.25ml) with 0.25ml normal saline under full aseptic measures. These patients underwent cesarean section and were assessed in post-operative time after every 30 minutes to first request of analgesia which were given if there was pain of 4 or more on visual analogue scale. &lt;strong&gt;Results:&lt;/strong&gt; In Group A, mean and SDs for duration of analgesia was 359.73&lt;u&gt;+&lt;/u&gt;8.021 minutes. In Group B, mean and SDs for duration of analgesia was 182.30&lt;u&gt;+&lt;/u&gt;7.720 minutes. Results depicted mean and SD for BMI of the patients to be 25.66&lt;u&gt;+&lt;/u&gt;1.52. &lt;strong&gt;Conclusion: &lt;/strong&gt;In this study, hyperbaric bupivacaine 0.5% with DXM in spinal anesthesia for patients undergoing caesarean section significantly prolonged the duration of analgesia in normal to slightly overweight individuals.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2022</copyrightYear>
        <keywords locale="en_US">
          <keyword>Dexmedetomidine, Hyperbaric bupivacaine, Spinal anesthesia</keyword>
        </keywords>
        <authors xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://pkp.sfu.ca native.xsd">
          <author include_in_browse="true" user_group_ref="Author" seq="27" id="1485">
            <givenname locale="en_US">Muhammad</givenname>
            <familyname locale="en_US">Shahid</familyname>
            <affiliation locale="en_US">Rehman Medical Institute, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>shahidanesthetis@yahoo.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="27" id="1501">
            <givenname locale="en_US">Mujahid Ul </givenname>
            <familyname locale="en_US">Islam</familyname>
            <affiliation locale="en_US">Rehman Medical Institute, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="27" id="1502">
            <givenname locale="en_US">Imtiaz</givenname>
            <familyname locale="en_US">Ahmad</familyname>
            <affiliation locale="en_US">Rehman Medical Institute, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="27" id="1503">
            <givenname locale="en_US">Sayed Shah</givenname>
            <familyname locale="en_US">Hassanain</familyname>
            <affiliation locale="en_US">Lady Reading Hospital, Peshwar, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="27" id="1504">
            <givenname locale="en_US">Muhammad Haseeb Moin ud din</givenname>
            <familyname locale="en_US">Baloch</familyname>
            <affiliation locale="en_US">Lady Reading Hospital, Peshwar, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="27" id="1505">
            <givenname locale="en_US">Mohammad</givenname>
            <familyname locale="en_US">Shafiq</familyname>
            <affiliation locale="en_US">Rehman Medical Institute, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="27" id="1506">
            <givenname locale="en_US">Ahsan</givenname>
            <familyname locale="en_US">Shabir</familyname>
            <affiliation locale="en_US">Rehman Medical Institute, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="27" id="1507">
            <givenname locale="en_US">Shah </givenname>
            <familyname locale="en_US">Arif</familyname>
            <affiliation locale="en_US">Rehman Medical Institute, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="27" id="1508">
            <givenname locale="en_US">Faizan Ahmad</givenname>
            <familyname locale="en_US">Ali</familyname>
            <affiliation locale="en_US">Rehman Medical Institute, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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        <id type="internal" advice="ignore">285</id>
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        <title locale="en_US">Survey on Prevalance &amp; Comparison of Back Pain Among Surgeons</title>
        <subtitle locale="en_US">Survey on Prevalence &amp; Comparison of Back Pain Among Surgeons</subtitle>
        <abstract locale="en_US">&lt;p&gt;The objective was to determine the prevalence of lower back pain (LBP) and comparison of lower back pain among surgeons of different specialties. &lt;strong&gt;METHODS: &lt;br&gt;&lt;/strong&gt;For this research 100 surgeons sample size was estimated. A self-prepared questionnaire having 25 items was distributed in respondents to gather data about the prevalence of lower back pain in surgeons of&amp;nbsp; &amp;nbsp;different specialties. Using SPSS V-19 data was analyzed having quantitative and qualitative variables. &lt;strong&gt;RESULT: &lt;/strong&gt;It was noted that out of 10, general (4), cardiac (2), plastic (2), ENT(4),&amp;nbsp; trauma(6), pediatric(4), and orthopedic(7), neuro (2), urology(2) and gynecology (6) specialty felt lower back pain during surgeries. Out of 100 surgeons of diverse specialty 43 surgeons have lower back pain during the surgery. Out of 100 diverse specialty surgeons&#x2019; 25 surgeons have LBP in region of lumbar, thoracic region (2 surgeons) and 29 in their region of lower lumbar. &lt;strong&gt;CONCLUSIONS: &lt;/strong&gt;It was concluded that Gyne &amp;amp; Obs and ENT surgeons are more prone to lower back pain (LBP) as compare to the surgeons of other specialties. The reason of the lower back pain was tough routine, lengthy standing time during surgeries of patients, adaptation of abnormal postures and due to less rest time.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Otolaryngology, Gynecologist &amp; Obstetrician surgeons, Lower back pain</keyword>
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            <givenname locale="en_US">Javeria </givenname>
            <familyname locale="en_US">Aslam</familyname>
            <affiliation locale="en_US">Shalamar Medical and Dental College, Lahore, Pakistan</affiliation>
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            <email>1@gmail.com</email>
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          <author include_in_browse="true" user_group_ref="Author" seq="16" id="1479">
            <givenname locale="en_US">Muhammad Imran</givenname>
            <familyname locale="en_US">Nawaz</familyname>
            <affiliation locale="en_US">Gulab Devi Institute of Physical Therapy, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Muhammad Ahmed</givenname>
            <familyname locale="en_US">Sajjad</familyname>
            <affiliation locale="en_US">Syeda Khatoon-E-Jannat Hospital and Special Education Center</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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          <author include_in_browse="true" user_group_ref="Author" seq="16" id="1481">
            <givenname locale="en_US">Memoona</givenname>
            <familyname locale="en_US">Aslam</familyname>
            <affiliation locale="en_US">Ibadat International University, Islamabad, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Iqra</givenname>
            <familyname locale="en_US">Naz</familyname>
            <affiliation locale="en_US">Ibadat International University, Islamabad, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Ramsha</givenname>
            <familyname locale="en_US">Masood</familyname>
            <affiliation locale="en_US">Ibadat International University, Islamabad, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Ibraheem </givenname>
            <familyname locale="en_US">Zafar</familyname>
            <affiliation locale="en_US">Shifa Tameer-E-Millat University, Islamabad, Pakistan</affiliation>
            <country>PK</country>
            <email>ibraheemzafar113@yahoo.com</email>
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            <givenname locale="en_US">Kashaf</givenname>
            <familyname locale="en_US">Nadeem </familyname>
            <affiliation locale="en_US">Shifa Tameer-E-Millat University, Islamabad, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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        <title locale="en_US">Comparison of combined isotonic and deep friction soft tissue techniques on pain and function in patients with chronic lateral epicondylitis</title>
        <subtitle locale="en_US">Patient with chronic lateral epicondylitis</subtitle>
        <abstract locale="en_US">&lt;p&gt;To determine the effects of combined isotonic and deep friction soft tissue techniques on pain and function in patient with chronic lateral epicondylitis. &lt;a name="_Toc47628480"&gt;&lt;/a&gt;&lt;strong&gt;Study Design: &lt;/strong&gt;Quasi Experimental study.&amp;nbsp;&lt;strong&gt;Place and Duration of study: &lt;/strong&gt;Data was collected from Mednic clinic and services hospital Lahore, for 6 months of duration after the approval of synopsis.&amp;nbsp;&lt;strong&gt;Method:&lt;/strong&gt; Quasi Experimental study was conducted on twenty-two patients of chronic lateral epicondylitis. Participants were allocated to either combined isotonic technique group and deep friction soft tissue technique group, both groups were treated for 12 sessions in 4 weeks. NPRS and PRTEE scale were used to measure the treatment effect before and after treatment of 3 session per week, total 12 sessions in 4 weeks to each participant. Data was analyzed by SPSS 21.&amp;nbsp;&lt;a name="_Toc47628481"&gt;&lt;/a&gt;&lt;strong&gt;Results:&lt;/strong&gt; Total participants 22 were classified into two groups, Group A (combined isotonic technique) and Group B (deep friction soft tissue technique group). Minimum age was 30, maximum age was 46, mean age 37 and standard deviation was &#xB1;4.93. The significance was greater than 0.05 which mean the data is normally distributed as the value of Shapiro wilk test for NPRS .88 and for PTREE was .208, therefore parametric test (paired and independent T test) was applied. The significance values for all statistical tests were set to 0.05. Paired sample T test for NPRS mean difference reading for group A was 2.63 &#xB1;.9244 and group B was 1.09 &#xB1;.3015 and for PRTEE mean difference for group A was 14.09 &#xB1;7.8288 and group B was 5.81 &#xB1;3.945 showed that although in both group changes were significant but difference of mean was greater in Combined isotonic technique group. Independent T test comparison of mean score of NPRS and PRTEE between Group A and Group B showed that there was significant difference in value, pretreatment NPRS mean difference was .011 and post treatment NPRS score was 1.54. pretreatment PRTEE mean difference was 1.90 and post treatment NPRS score was 6.36 so combined isotonic technique showed greater mean difference after treatment. &lt;a name="_Toc47628482"&gt;&lt;/a&gt;&lt;strong&gt;Conclusion:&lt;/strong&gt; The study concluded that combined isotonic exercises group showed better results than deep friction soft tissue technique group for improvement of pain and functional disability in lateral epicondylitis patients&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Lateral epicondylitis, deep friction soft tissue technique, combined isotonic technique.</keyword>
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            <givenname locale="en_US">Aleena </givenname>
            <familyname locale="en_US">Bashir</familyname>
            <affiliation locale="en_US">Clinical Physiotherapist Mednic Clinic</affiliation>
            <country>PK</country>
            <email>alinabashir38@gmail.com</email>
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            <givenname locale="en_US">Sana </givenname>
            <familyname locale="en_US">Hafeez</familyname>
            <affiliation locale="en_US">Riphah College of Rehabilitation and Allied Health Sciences, Lahore</affiliation>
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            <email>sana.hafeez@riphah.edu.pk</email>
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            <givenname locale="en_US">Khurram </givenname>
            <familyname locale="en_US">Sarfraz </familyname>
            <affiliation locale="en_US">Riphah College of Rehabilitation and Allied Health Sciences, Lahore</affiliation>
            <country>PK</country>
            <email>khurram.sarfraz@riphah.edu.pk</email>
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            <givenname locale="en_US">Anum </givenname>
            <familyname locale="en_US">Bashir</familyname>
            <affiliation locale="en_US">Clinical Physiotherapist Mednic Clinic</affiliation>
            <country>PK</country>
            <email>anumbashirawan@gmail.com</email>
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            <givenname locale="en_US">Samra </givenname>
            <familyname locale="en_US">Anwar</familyname>
            <affiliation locale="en_US">Manual Therapist Johar Hospital Lahore</affiliation>
            <country>PK</country>
            <email>piewelfareorganization@gmail.com</email>
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            <givenname locale="en_US">Farwa</givenname>
            <familyname locale="en_US"> Asad</familyname>
            <affiliation locale="en_US">Clinical Physiotherapist Jinnah Hospital </affiliation>
            <country>PK</country>
            <email>farwahasad@gmail.com</email>
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        <title locale="en_US">Evaluation of the Two Commonly Used Pulp Tests for Assessing Pulp Vitality  and Sensitivity</title>
        <subtitle locale="en_US">Assessing Pulp Vitality and Sensitivity</subtitle>
        <abstract locale="en_US">&lt;p&gt;Hard tissue boundaries are limited to pulp tissue and cannot be inspected directly for health evaluation so most of its evaluations are based on sensitivity testing. It is believed that electric pulp test (EPT) has some limitations in determining the vitality of the pulp. Therefore the objective in the current study was to see how well the electric pulp test and the cold test agreed in evaluating pulp vitality and sensitivity. &lt;strong&gt;Study Design, Place and Duration: &lt;/strong&gt;This Observational/Retrospective study was carried from 1&lt;sup&gt;st&lt;/sup&gt; March, 2021 to 31&lt;sup&gt;st&lt;/sup&gt; December, 2021 at the Department of Dental Materials, Sardar Begum Dental College, Gandhara University, Peshawar.&amp;nbsp;&lt;strong&gt;Methods: &lt;/strong&gt;Total one hundred and eighteen patients of both genders had pulpits because of dental caries were included in this study. A range of ages were represented from 18 to 50 years old. As part of the informed written consent process, each patient was asked to provide demographic information such as their age, gender, and the type of teeth they had. Patients were equally categorized into two groups, Group I received electric pulp test and group II received cold test. Teeth were classified as vital if there was tingling or pain, and non-vital if there was no tingling or discomfort. Outcomes among both groups were calculated in terms of absence or presence of tingling sensation. Visual analog scale was used to determine pain score among enrolled cases. We used SPSS 23.0 version to analyze the data.&amp;nbsp;&lt;strong&gt;Results: &lt;/strong&gt;Among 118 patients, 67 (56.8%) were males and majority of the cases 60 (50.8%) were aged between 26-35 years, followed by age group 18-25 in 35 (29.7%) cases and 23 (19.5%) cases were between age group 36-45 years. Mandibular incisors were the most common tooth found in 47 (39.8%) cases followed by maxillary incisors 32 (27.1%) cases. By using visual analogue scale&lt;strong&gt; (&lt;/strong&gt;VAS), we found that most of the patients had severe pain 90 (76.3%). The rate of vital teeth in group I was 45 (76.3%) and in group II vital teeth found in 41 (69.5%) while remaining tooth were necrotic among both groups 14 (23.7%) and 18 (30.5%). By Kappa&#x2019;s statistics we found that overall frequency of vital teeth among all cases was 86 (72.9%).&amp;nbsp;&lt;strong&gt;Conclusion: &lt;/strong&gt;In assessing pulp viability and sensitivity, EPT and cold testing showed great concordance, according to this study. Electric pulp testers and cold testing currently satisfy the majority of the criteria for an ideal testing procedure and are still widely utilized diagnostic tools. When EPT and Endo frost are used together, a more precise assessment of pulp vitality can be made.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Cold Testing, Electric Pulp Testing, Pulp Vitality</keyword>
        </keywords>
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            <givenname locale="en_US">Nighat </givenname>
            <familyname locale="en_US">Shafiq</familyname>
            <affiliation locale="en_US">Department of Oral Biology, Khyber College of Dentistry, Khyber Pakhtunkhwa, Peshawar</affiliation>
            <country>PK</country>
            <email>nighatbds@gmail.com</email>
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            <givenname locale="en_US">Sadia </givenname>
            <familyname locale="en_US">Akram</familyname>
            <affiliation locale="en_US">Science of Dental Materials, Abbottabad Institute of Medical and Dental sciences, Abbottabad </affiliation>
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        <title locale="en_US">Comparative Effect of Ginger and Vitamin E Supplements on Pain and Quality of Life among Females with Dysmenorrhea-A Randomized Controlled Trial </title>
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        <abstract locale="en_US">&lt;p&gt;Menstruation is the frequent discharge of blood into the cervix and out of the vagina from the uterus, and it is often called a' period.&#x2019; Dysmenorrhea is characterized as the occurrence during menstruation of aching cramps in uterus that arise and is one of the most general causes of menstrual disorder and pelvic pain. &lt;strong&gt;Objectives:&lt;/strong&gt; To compare the effect of ginger and vitamin E on pain Severity among females with dysmenorrhea. To compare the effect of ginger and vitamin E on quality of life among females with dysmenorrhea-A randomized controlled trial. &lt;strong&gt;Methods: &lt;/strong&gt;A randomized controlled trial was carried out in the Gynae and obstetrics departments at Sir Ganga Ram Hospital, Lahore for 9 months. 90 patients divided into 3 groups (Vitamin E, Ginger Tea and Placebo) were selected through non probability purposive sampling technique. Data was collected through Pre tested questionnaire, Visual analogue scale and Quality of life questionnaire. The data was tabulated and analyzed by SPSS version 21.0. &lt;strong&gt;Results:&lt;/strong&gt; The results shows that there is a significant correlation in the results of Vas scale throughout the study. The level of significance indicates that the VAS scale of pain showed various results in the pain levels of patients having ginger tea and vitamin E capsules for the pain management of menstruation of females. There is also a significance noticed in the placebo group which may lead us to believe that the mental satisfaction of patients also matters a lot. &lt;strong&gt;Conclusion:&lt;/strong&gt; It is concluded that Ginger tea and vitamin E supplements have a large effect on pain and Quality of Life among the females with Dysmenorrhea.&amp;nbsp;&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Maryam </givenname>
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            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
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            <givenname locale="en_US">Sidra </givenname>
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            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan</affiliation>
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            <givenname locale="en_US">Inaba Shujaat </givenname>
            <familyname locale="en_US">Qureshi</familyname>
            <affiliation locale="en_US">Department of Food Science and Human Nutrition, Faculty of Bio-Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan</affiliation>
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            <givenname locale="en_US">Ishtiaque </givenname>
            <familyname locale="en_US">Ahmad</familyname>
            <affiliation locale="en_US">Department of Dairy Technology, University of veterinary and Animal Sciences, Lahore-Pakistan</affiliation>
            <country>PK</country>
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            <givenname locale="en_US">Saima</givenname>
            <familyname locale="en_US"> Inayat</familyname>
            <affiliation locale="en_US">Department of Dairy Technology, University of veterinary and Animal Sciences, Lahore-Pakistan</affiliation>
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            <givenname locale="en_US">Faiza </givenname>
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            <affiliation locale="en_US">Department of Chemistry, The university of Lahore</affiliation>
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            <email>faizaimtiaz85@gmail.com</email>
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        <title locale="en_US">Effectiveness of Maitland And Mulligan Mobilization In Cervical Radiculopathy Patients</title>
        <subtitle locale="en_US">Maitland and Mulligan Mobilization</subtitle>
        <abstract locale="en_US">&lt;p&gt;The objective of the study is to differentiate the effectiveness of Mulligan and Maitland mobilization in cervical radiculopathy.&#xA0;&lt;strong&gt;Methods: &lt;/strong&gt;200 patients were selected and divided by lottery method into two groups. &lt;em&gt;In one group i.e., Group A Maitland mobilization and in group B Mulligan mobilization was given. &lt;/em&gt;Patients were followed till 2 weeks.&#xA0;&lt;strong&gt;Results: &lt;/strong&gt;There were 124(62%) male and 76(38%) female cases in study. The average age in group-A and group-B was 38.90 &#xB1; 6.97 years and 42.07&#xB1;7.03 years, p-value 0.085. Before treatment the mean of pain in both group were calculated. So, in group-A was 7.40&#xB1;1.45 and in group-B was 7.63&#xB1;1.27 respectively, with insignificant difference. After treatment the mean pain in group-A was 3.40&#xB1;1.73 and group-B was 2.53&#xB1;1.57 respectively, P-value&amp;lt; 0.05 with significantly much less pain in group-B. The difference of pain represents in group-A and group-B was 3.77&#xB1;2.18 and 4.90&#xB1;1.83 while group A shows better results with, p-value &amp;lt; 0.05.&#xA0; Before treatment range of motion was restricted in all patients, while after treatment 80% of cases achieved normal range of movement in group-A while in group-B 92% cases achieved normal movement range. The improvement in both study groups was significantly higher at 2&lt;sup&gt;nd&lt;/sup&gt; week of treatment, but in group B the improvement was higher when compared to group-A, p-value.&#xA0;&lt;strong&gt;Conclusion: &lt;/strong&gt;The study concluded &#x201C;Mulligan technique is much more effective than Maitland technique in terms of less pain and normal range of motion for cervical radiculopathy patients&#x201D;.&lt;/p&gt;</abstract>
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        <copyrightYear>2021</copyrightYear>
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          <keyword>Neck pain, cervical radiculopathy, pain, range of motion, physiotherapy, manual therapy. </keyword>
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            <givenname locale="en_US">Mehwish</givenname>
            <familyname locale="en_US"> Niaz</familyname>
            <affiliation locale="en_US">CMH Medical College, Lahore</affiliation>
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            <email>mehwishniaz2011@hotmail.com</email>
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            <givenname locale="en_US">Amirah </givenname>
            <familyname locale="en_US">Zafar</familyname>
            <affiliation locale="en_US">CMH Medical College, Lahore</affiliation>
            <country>PK</country>
            <email>amirahzafar89@gmail.com</email>
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            <givenname locale="en_US">Umar </givenname>
            <familyname locale="en_US">Sadiq</familyname>
            <affiliation locale="en_US">CMH Medical College, Lahore</affiliation>
            <country>PK</country>
            <email>umar.sadiq89@yahoo.com</email>
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            <givenname locale="en_US">Hassan Bin </givenname>
            <familyname locale="en_US">Adil</familyname>
            <affiliation locale="en_US">CMH Medical College, Lahore</affiliation>
            <country>PK</country>
            <email>hassanbinadil007@gmail.com</email>
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            <givenname locale="en_US">Saad Kamal </givenname>
            <familyname locale="en_US">Akhtar</familyname>
            <affiliation locale="en_US">MIHS Multan.</affiliation>
            <country>PK</country>
            <email>skak86@gmail.com</email>
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        <title locale="en_US">Perception of Physiotherapists of Lahore, Pakistan about the effects of Transcutaneous Electrical Nerve Stimulation for Short and Long Term Pain Management</title>
        <abstract locale="en_US">&lt;p&gt;To determine the knowledge about TENS usage among professional physical therapists of Lahore city. &lt;strong&gt;Methods: &lt;/strong&gt;In this study cross sectional survey was conducted in Physiotherapy department of UOL Teaching Hospital, CMH, Ghurki Teaching Hospital and Social Security Hospital, Lahore. The sample size of 117physical therapist participated in this study. Questionnaire was used to determine response of participants. &lt;strong&gt;Results: &lt;/strong&gt;117 questionnaires were filled by physical therapists, using electrotherapy (TENS) in their setup. Only 81.2% physical therapist found TENS effective as a sole treatment for acute pain, while 36.8% founds it effective as a sole treatment for chronic pain. Physical therapists 70% in Lahore prefer using gels/lotions with TENS about for prolonged relief. Majority of physical therapists (84.6%) were satisfied with the effectiveness of TENS applying with other modalities. &lt;strong&gt;Conclusion: &lt;/strong&gt;TENS is frequently used among Physical Therapist aged more than 26 years. Most of physical therapist found it effective for both short and long term care. Physical therapist were frequently using it for the management of frozen shoulder pain.&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Hafiz Rana Muhammad </givenname>
            <familyname locale="en_US">Arslan</familyname>
            <affiliation locale="en_US">Department of Allied Health Sciences University of South Asia Cantt Campus Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>arslan.physio@gmail.com</email>
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            <givenname locale="en_US">Faiza</givenname>
            <familyname locale="en_US">Islam</familyname>
            <affiliation locale="en_US">CMH Medical College, Lahore</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Muhammad Saad </givenname>
            <familyname locale="en_US">Hassan</familyname>
            <affiliation locale="en_US">Rawal Institute of Rehabilitation Sciences Islamabad, Pakistan.</affiliation>
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            <email>2@gmail.com</email>
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            <givenname locale="en_US">Hafiza Neelam </givenname>
            <familyname locale="en_US">Muneeb</familyname>
            <affiliation locale="en_US">Riphah College of Rehabilitation Sciences, Riphah International University Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Ali </givenname>
            <familyname locale="en_US">Zubair</familyname>
            <affiliation locale="en_US">Rawal Institute of Rehabilitation Sciences Islamabad, Pakistan.</affiliation>
            <country>PK</country>
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            <givenname locale="en_US">Muhammad Faizan </givenname>
            <familyname locale="en_US">Hamid</familyname>
            <affiliation locale="en_US">Department of Allied Health Sciences University of South Asia Cantt Campus Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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        <title locale="en_US">Risk Factors Causing Ankle Sprain among undergraduate female students</title>
        <abstract locale="en_US">&lt;p&gt;High heeled shoes align the foot in planter flexion, modifying the relative orientation of the skeletal structures of ankle, metatarsal, and metatarsophalangeal joints, and alter the insertion angles of the foot and gliding joint muscles, therefore increasing the risk factor for ankle sprain. &lt;strong&gt;Objective:&lt;/strong&gt; Study conducted to determine Risk Factors Causing Ankle Sprain among undergraduate female students.&#xA0;&lt;strong&gt;Methods:&lt;/strong&gt; Cross-Sectional study was conducted among 500 female students (Between ages 18-26 years) at Sargodha Medical College and completed in 06 months (June 2019-December 2019). Non-probability convenient sampling technique was used to collect data and then entered to SPSS-25 for further statistical analysis.&#xA0;&lt;strong&gt;Result:&lt;/strong&gt; Among 500 participants, Age 19.65&#xB1;1.416 years. Mean height (m) 1.61&#xB1;0.073, mean weight (kg) 57.37&#xB1;10.4, Mean BMI was 22.02&#xB1;3.6. Female experience ankle sprain (54%), not experienced ankle sprain (46%) Significant association found between Ankle Sprain and body mass index (BMI) as the P value was 0.014 which was &amp;lt;0.05. Female wearing high heel have 1.082 times greater chance of developing ankle sprain (OR 1.082). Female wearing high heel for long duration (4-6 hrs.) have 1.271 times greater chance of developing ankle sprain (OR 1.271), female wearing high heel (3-4 inches) have 1.072 times greater chance of developing ankle sprain (OR 1.072), female using Pencil heel have 1.281 times greater chance of developing ankle sprain (OR 1.281). &lt;strong&gt;Conclusion: &lt;/strong&gt;Significant association found between Ankle Sprain and body mass index (BMI). Female wearing, high heel for long duration (4-6 hrs.), high heel (3-4 inches height), using Pencil heel have greater chance of developing ankle sprain.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Hafiz Rana Muhammad </givenname>
            <familyname locale="en_US">Arslan</familyname>
            <affiliation locale="en_US">Department of Allied Health Sciences, University of South Asia, Cantt Campus, Lahore.</affiliation>
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            <email>arslan.physio@gmail.com</email>
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            <givenname locale="en_US">Ali Hammad </givenname>
            <familyname locale="en_US">Subhani</familyname>
            <affiliation locale="en_US">Physical Therapy &amp; Rehabilitation Department, ARK Campus Mughalpura, Lahore</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Hamza </givenname>
            <familyname locale="en_US">Shahzad</familyname>
            <affiliation locale="en_US">Ehsan Rehab Physiotherapy and Sports Injury Clinic, Lahore</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Sumbal </givenname>
            <familyname locale="en_US">Salik</familyname>
            <affiliation locale="en_US">Johar Instituted of Professional Studies Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Laila Niaz </givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">Johar Instituted of Professional Studies Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Fatima </givenname>
            <familyname locale="en_US">Tariq</familyname>
            <affiliation locale="en_US">University of Management and Technology Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Bushra</givenname>
            <familyname locale="en_US">Ijaz</familyname>
            <affiliation locale="en_US">Hussain College of Health Sciences, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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        <title locale="en_US">Effectiveness of soft tissue release of paracervical muscles on the cantho-limbal distance among young adults</title>
        <abstract locale="en_US">&lt;p&gt;To find out the effectiveness of soft tissue release of paracervical muscles on the cantho-limbal distance among young adults. &lt;strong&gt;Methods&lt;/strong&gt;: A quasi-experimental study was carried out at Shalamar School of allied health sciences. A sample of 32 of reduced lateral cantho-limbal distance and neck pain was taken. A purposive sampling technique was used. Pre-test Cantho-limbal distance was measured by ABN tape in mm then technique of ischemic compression followed by stretching was applied and post-test cantho-limbal distance was a measure.&lt;strong&gt; Results:&lt;/strong&gt; Results show that the cantho-limbal distance before treatment was 7.38&#xB1;0.98mm and after treatment, it increases to 10.06&#xB1;0.88mm. The difference between the effect of pre and post-treatment on cantho-limbal distance was statistically significant (p-value &amp;lt;0.001). &lt;strong&gt;Conclusion:&lt;/strong&gt; This study concluded that paracervical muscles and muscles of eyes have some neuronal and myofascial attachment so that soft tissue release of paracervical muscles has a significant and beneficial effect on reduced lateral cantholimbal distance.&lt;/p&gt;</abstract>
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        <copyrightYear>2022</copyrightYear>
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            <givenname locale="en_US">Arooj </givenname>
            <familyname locale="en_US">Shahzad</familyname>
            <affiliation locale="en_US">SHALAMAR SCHOOL OF ALLIED HEALTH SCIENCES, LAHORE, PAKISTAN</affiliation>
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            <givenname locale="en_US">Qurba </givenname>
            <familyname locale="en_US">Kiran</familyname>
            <affiliation locale="en_US">SHALAMAR INSTITUTE OF HEALTH SCIENCES, LAHORE, PAKISTAN</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Sheeza</givenname>
            <familyname locale="en_US"> Imtiaz</familyname>
            <affiliation locale="en_US">UNIVERSITY OF SOUTH ASIA, RAIWAND ROAD CAMPUS, LAHORE, PAKISTAN</affiliation>
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            <email>1@gmail.com</email>
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            <givenname locale="en_US">Anas </givenname>
            <familyname locale="en_US">Ali</familyname>
            <affiliation locale="en_US">RISING SUN INSTITUTE FOR SPECIAL CHILDREN, LAHORE, PAKISTAN</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Ali Hammad </givenname>
            <familyname locale="en_US">Subhani</familyname>
            <affiliation locale="en_US">RISING SUN INSTITUTE FOR SPECIAL CHILDREN, LAHORE, PAKISTAN</affiliation>
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            <country>PK</country>
            <email>sufianahmedghuman@gmail.com</email>
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            <affiliation locale="en_US">IBADAT INTERNATIONAL UNIVERSITY, ISLAMABAD, PAKISTAN</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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        <title locale="en_US">Relevance of Preoperative Pain Education To The Cardiac Patients on Their Response To Postoperative Pain Therapy</title>
        <subtitle locale="en_US">Preoperative Pain Education to the Cardiac Patients</subtitle>
        <abstract locale="en_US">&lt;p&gt;To observe the effects of preoperative pain education on Coronary artery bypass graft surgery (CABG) patients on postoperative pain management. &lt;strong&gt;Methods:&lt;/strong&gt; A randomized control trial was performed from April-December 2019, after seeking ethical approval. Patients of Punjab institute of cardiology, Lahore, scheduled for CABG were selected after informed consent. Those with psychiatric illness, chronic pain/opioid addiction, or allergic to opioids, were excluded. The population was divided into control (received routine preoperative care) and interventional (received additional preoperative education via pain management booklet) groups, data was collected postoperatively via questionnaire and analyzed on SPSS. Chi-square was used as a statistical test and p-value &amp;lt;0.05 was significant. &lt;strong&gt;Results:&lt;/strong&gt; Eighty patients with 47 males and 33 females aged 50-80 years (mean=61.05&#xB1;8.32) were recruited. The interventional group agreed to the significance of instant in-hospital notifying/managing pain and 38(95%) controls agreed to it, 39(98%) interventional patients were willing for a stronger pain-relief medicine if not cured by the initial dose, while 12(30%) controls were willing for it. 38(95%) interventional patients denied the fear of addiction to painkillers, contrarily 5(12.5%) controls negated this fear. All interventional patients rejected the concern of incurable nausea with pain-relief medicine, while 37(92.5%) controls were threatened with this concern. Constipation associated with pain-relief medicine was refused by all interventional patients, 25(62.5%) controls accepted it. All the differences between both groups were significant (p&amp;lt;0.001).&#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &#xA0; &lt;strong&gt;Conclusion:&lt;/strong&gt; A significantly improved postoperative patient compliance/outcome (pain-related) was observed in the interventional group who preoperative received pain education compared to the control.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Preoperative, Postoperative, Pain, Education, and Cardiac patients</keyword>
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            <givenname locale="en_US">Asma </givenname>
            <familyname locale="en_US">Khalid</familyname>
            <affiliation locale="en_US">New Advance College of Nursing</affiliation>
            <country>PK</country>
            <email>asmakhalid.asma@gmail.com</email>
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            <givenname locale="en_US">Samina</givenname>
            <familyname locale="en_US">Kausar</familyname>
            <affiliation locale="en_US">Institute of Nursing, University of Health Sciences</affiliation>
            <country>PK</country>
            <email>saminamanzoor31@yahoo.com</email>
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            <givenname locale="en_US">Ayesha </givenname>
            <familyname locale="en_US">Sadiqa</familyname>
            <affiliation locale="en_US">CMH Lahore Medical College &amp; IOD, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>ayesha_sadiqa@cmhlahore.edu.pk</email>
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            <givenname locale="en_US">Asma </givenname>
            <familyname locale="en_US">Abid</familyname>
            <affiliation locale="en_US">College of Nursing, Lahore General Hospital</affiliation>
            <country>PK</country>
            <email>abidasma497@gmail.com</email>
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            <givenname locale="en_US">Sumera</givenname>
            <familyname locale="en_US">Jabeen</familyname>
            <affiliation locale="en_US">Shaikh Fatima Institute of Nursing</affiliation>
            <country>PK</country>
            <email>sumerajbn1@gmail.com</email>
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        <title locale="en_US">Comparison of Jacobson&#x2019;s Progressive Relaxation Technique and Laura Mitchell&#x2019;s Relaxation Technique on quality of life and sleep in COPD Patients.</title>
        <subtitle locale="en_US">Quality of life and sleep in COPD Patients</subtitle>
        <abstract locale="en_US">&lt;p&gt;&lt;span style="font-size: 0.875rem;"&gt;Chronic Obstructive Pulmonary Disease is progressive respiratory disease characterized by cough, sputum, and shortness of breath due to increased airway resistance. The prevalence rate for COPD is about 2.1% with population of age 40 years. Long term effects of different treatments lead to decrease the quality of life.&#xA0; Relaxation techniques are simple and improve the relaxation of whole body. &lt;/span&gt;&lt;strong&gt;Objective:&lt;/strong&gt; The objective was to compare the effects of Jacobson&#x2019;s and Laura Mitchell&#x2019;s technique on&#xA0; the quality of life and sleep in COPD patients. &lt;strong&gt;Methods:&lt;/strong&gt; It was a randomized clinical trial. Sample size of 68 was calculated by keeping 95% confidence internal and 0.05 margin of error. Patients were induced through convenient sampling technique and then allocated &#xA0;by simple randomization process by opaque sealed envelope into group A and Group B. Group A was treated with Laura Mitchell Relaxation Technique and group B was treated with Jacobson&#x2019;s Progressive Relaxation Technique for 5 sessions per week for 2 weeks. Post treatment evaluation was done by assessing sleep quality through Pittsburgh Sleep Quality Index Questionnaire and quality of life via St. George&#x2019;s Respiratory Questionnaire. &lt;strong&gt;Results: &lt;/strong&gt;Data analysis was done by using IBM-SPSS 25. Mean and Standard deviation of age and Body Mass Index (BMI) were as group A 40.13 + 5.06 years comparable to group B as 38.63 + 5.04 years. Body Mass Index (BMI) in group A was 23.86 + 4.139 kg/m2, and in group B was 23.80 + 4.130 kg/m2.It was determined that both methods of relaxation improved quality of life and sleep in COPD patients in which Laura Mitchell&#x2019;s Relaxation Technique was clinically more significant as compared to&#xA0; Jacobson&#x2019;s Progressive Relaxation Technique. &lt;strong&gt;Conclusion: &lt;/strong&gt;It was concluded that both Laura Mitchell&#x2019;s Relaxation Technique and Jacobson&#x2019;s Progressive Relaxation Technique were effective on quality of life and sleep quality in COPD patients among stage 3 and stage 4 individuals. But Laura Mitchell&#x2019;s Technique has greater clinical effects as compared to other technique.&#xA0;&lt;/p&gt;</abstract>
        <source locale="en_US">no</source>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Chronic Obstructive Pulmonary Disease, Quality of life, Relaxation Therapy, Sleep Hygiene.</keyword>
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            <givenname locale="en_US">Hajra </givenname>
            <familyname locale="en_US">Mujahid</familyname>
            <affiliation locale="en_US">Riphah International University, Lahore, Pakistan</affiliation>
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            <email>hajiramujahid15@gmail.com</email>
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            <givenname locale="en_US">Wajeeha</givenname>
            <familyname locale="en_US">Zia</familyname>
            <affiliation locale="en_US">Riphah International University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>wajeeha_z@yahoo.com</email>
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            <givenname locale="en_US">Anas</givenname>
            <familyname locale="en_US">Ali</familyname>
            <affiliation locale="en_US">Ali Hospital, Shalimar Link Road, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Mohtishim</givenname>
            <familyname locale="en_US">Ahmed</familyname>
            <affiliation locale="en_US">Johar Pain Relief Center, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Muhammad Shamoos</givenname>
            <familyname locale="en_US"> Saqib</familyname>
            <affiliation locale="en_US">SpinaCure, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Abdul Majid</givenname>
            <familyname locale="en_US">Shahid</familyname>
            <affiliation locale="en_US">Boston Physiotherapy and Wellness Clinic, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Muhammad Umer </givenname>
            <familyname locale="en_US">Arshad</familyname>
            <affiliation locale="en_US">AVICENA Medical Collage, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>omerkhushi0101@gmail.com</email>
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        <title locale="en_US">Translating And Validating of The Foot &amp; Ankle Disability Index (FADI) Questionnaire In Urdu</title>
        <abstract locale="en_US">&lt;p&gt;To determine the translation and validation of questionnaire FADI into Urdu.&lt;strong&gt;METHODS:&lt;/strong&gt;It was a cross cultural adaptation study. Data of 130 patients of age 16 to 50 year, was taken from hospital, general population or the people who are visiting orthopedic surgeon in the duration of 6 months. Guidelines of Gullimen F have been followed by researcher for this study.&#xA0;&lt;strong&gt;RESULTS:&lt;/strong&gt;The results remained in the favor of Urdu translation. Value of the cronbach alpha coefficient (0.96-0.97) showed the excellent internal consistency. Composite reliability (CR) i.e 0.964 indicates excellent validity. Average variance extracts (AVE) (0.532) which indicates that all the items are having acceptable convergent validity. Intra-class correlation coefficient (ICC) value (0.966) indicates the excellent consistency. P value of FADI index 1.000 and P value of Urdu score .059 showed that there is non-significant difference of mean Urdu score with English score. Kappa statistics of all the items are mentioned in statistical results.&lt;strong&gt;CONCLUSION:&lt;/strong&gt;This study concluded that The FOOT &amp;amp; ANKLE DISABILITY INDEX (FADI) QUESTIONNAIRE converted in Urdu have excellent internal consistency, high reliability of the items, excellent validity and acceptable convergent validity.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Validation, Translation, Cultural adaptation, Evaluation scale, Quality of life, FADI, Urdu</keyword>
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            <givenname locale="en_US">Mukhlis ul  </givenname>
            <familyname locale="en_US">Rehman</familyname>
            <affiliation locale="en_US">NUR International University, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>ranamukhlisrehman@gmail.com</email>
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            <givenname locale="en_US">Malaika</givenname>
            <familyname locale="en_US">Umer</familyname>
            <affiliation locale="en_US">Physical Therapy Department, Jinnah Burn and Reconstructive Surgery Center Jinnah Hospital Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Muhammed Usman</givenname>
            <familyname locale="en_US"> Riaz </familyname>
            <affiliation locale="en_US">Physical Therapy Department, Fatima Memorial Hospital</affiliation>
            <country>PK</country>
            <email>usman.riaz@fmhcmd.edu.pk</email>
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            <givenname locale="en_US">Maha </givenname>
            <familyname locale="en_US">Zaheer</familyname>
            <affiliation locale="en_US">Physical Therapy Department, NUR International University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>maozaheer@yahoo.com</email>
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            <givenname locale="en_US">Tayyaba Mustafa</givenname>
            <familyname locale="en_US"> Mian</familyname>
            <affiliation locale="en_US">NUR International University, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>tayyaba.mustafa123@gmail.com</email>
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            <givenname locale="en_US">Sana</givenname>
            <familyname locale="en_US"> Altaf</familyname>
            <affiliation locale="en_US">Physical Therapy Department, NUR International University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>sana.altaf@niu.edu.pk</email>
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        <title locale="en_US">Association of heavy bag lifting time with postural pain in secondary school students</title>
        <abstract locale="en_US">&lt;p&gt;To determine the association between heavy bag lifting with posture among secondary school students. &lt;strong&gt;METHODS&lt;/strong&gt;: This study was a cross sectional survey. Based on sample of convenience, total 380 Students of both gendersbelonging to Beaconhouse School System, KIPS School System,Educators School and The Punjab School System were included with an age 14 to 17 years (school grade 9 to 12). The data was collected using the Reedco scale and Grimmer&#x2019;s Questionnaire for assessment of posture and, use of heavy bags andits associated pain, respectively. &lt;strong&gt;RESULTS&lt;/strong&gt;: The majority of participants in this consisted of young adults above 12 years (39%) and below 12years (34%) with male predominant (54%). 370 students out of 380 were carrying heavy bags. The types of bags they mostly carry were backpacks (51%), satchel (34%) and others (15%). 48% of these students never used lockers and 40% of them often use locker 55% of them never use waist belt to carry bag.&#xA0; Most of the students 48% spend 11 to 20 minutes for carrying bag per day.61% of them carry extra load (water bottles, lunch boxes, guide books) with them also. Out of 380 students 246 had pain in different body regions due to heavy bags 64% had neck pain and 53% had upper back pain while 19% had shoulder pain. Out of 184 students that carry bag from 11 to 20 minutes, 115 had poor neck posture, 133 had poor shoulder posture 25 had poor head posture and 5 had poor upper back pain and that carry from 21 to 30 minutes out of 167 students 122 had bad neck posture and 132 had poor shoulder posture 50 had poor head posture 105 had poor upper back posture. &lt;strong&gt;CONCLUSION: &lt;/strong&gt;There was found significant association between heavy bag lifting and poor posture with related pain in regions of cervical followed by upper back in secondary school students.&lt;/p&gt;</abstract>
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          <keyword>Posture, Schools, School Bag, Physical Therapy, backpack</keyword>
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            <givenname locale="en_US">Maha </givenname>
            <familyname locale="en_US">Zaheer</familyname>
            <affiliation locale="en_US">Physical Therapy Department, NUR International University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>maha.zaheer@niu.edu.pk</email>
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            <givenname locale="en_US">Noor </givenname>
            <familyname locale="en_US">Fatima</familyname>
            <affiliation locale="en_US">Physical Therapy Department, NUR International University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>nurfatima192022@gmail.com</email>
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            <givenname locale="en_US">Usman </givenname>
            <familyname locale="en_US">Riaz</familyname>
            <affiliation locale="en_US">Physical Therapy Department, NUR International University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>m.usman_711@live.com</email>
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            <givenname locale="en_US">Narmeen </givenname>
            <familyname locale="en_US">Haseeb</familyname>
            <affiliation locale="en_US">Physical Therapy Department, NUR International University, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>narmenhasib19@gmail.com</email>
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        <title locale="en_US">Pattern of Presentations and Management of Complications of Metastatic  Carcinoma Prostate in Underdeveloped Country</title>
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        <abstract locale="en_US">&lt;p&gt;To share our experience of presentations and management of &#xA0;metastatic carcinoma prostate and its complications in tertiary care hospital in underdeveloped country.&lt;strong&gt;Methods:&lt;/strong&gt;This is retrospective study conducted &#xA0;in institute of kidney diseases Peshawar from January 2017 to December 2020 .Patients were sampled through non probability randomized method mode of presentation ,diagnosis and management of metastatic &#xA0;carcinoma prostate complications&#xA0; were evaluated and analyzed .&lt;strong&gt;Results:&lt;/strong&gt;There were 80 patients in the study ,63 patients opted for medical castration while in&#xA0; 17 patients&#xA0; &#xA0;bilateral orchidectomies done for androgen blockade . Docetoxil &#xA0;added long with ADT for androgen blockade in 12 patients who were labeled castrate resistant&#xA0; .12 patients present with urinary retention and channel TURP performed on them and 2 patients have hematuria due to mets in urinary bladder and 4 patients have skeletal metastasis and were managed in respective department. &lt;strong&gt;Conclusion:&lt;/strong&gt;This study concludes that in under developed countries like Pakistan mostly patients of carcinoma prostate&#xA0; present in metastatic stage with multiple complications and most of&#xA0; complications can be managed in urology department in close collaboration with other specialized units.&lt;/p&gt;</abstract>
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        <title locale="en_US">Rational Drug Therapy of Peptic Ulcer Disease In Patients Admitted To Gastroenterology Ward of LRH Peshawar, Khyber Pakhtunkhwa, Pakistan</title>
        <abstract locale="en_US">&lt;p&gt;The present study was conducted from 12 Sep.2019 to 10 Nov. 2019 at the Gastroenterology ward, Lady Reading Hospital Peshawar Pakistan, aiming to accurately investigate the Peptic Ulcer Disease state, signs and symptoms, to ensure complete information about drug therapy and patients response. Peptic ulcer disease is defined as an upper gastric mucosal rupture due to acid hat results in the formation of ulcers that extend beyond the muscular mucosa to the submucosa. Peptic ulcer is characterized by abdominal pain, change in appetite, unexplained weight loss, nausea, vomiting, heart burn and dark, tarry stools. Spicy and acidic foods, Stress and restless lifestyle were considered to be the leading causes of peptic ulcer. However the Helicobacter pyloribacterium is responsible for up to 60% stomach ulcers. Frequent use of painkillers, old age, obesity&lt;em&gt; Smoking,&amp;nbsp;excessive alcohol use, too little sleep,&amp;nbsp;type O blood and chronic &lt;/em&gt;stress, are the risk factors of peptic ulcers. Acute peptic ulcers results from taking aspirin or anti-inflammatory drugs. Chronic peptic ulcer represents a profound loss of substance. Data from a total of10 patients (6 female and 4 male)of all age, having various peptic ulcer diseases were involved in this study. It was concluded that most of the female patients (60%) were having peptic ulcers as compared to male patient (40%). It was found that 30-40 years old peptic ulcer patient percentage was 20%.Moreover it was observed that frequent use of Nonsteroidal Anti-inflammatory Drugs has been found to be the main causes of peptic ulcers&lt;/p&gt;</abstract>
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        <copyrightYear>2021</copyrightYear>
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          <keyword>PEPTIC ULCER DISEASE</keyword>
          <keyword>infection Rate</keyword>
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            <givenname locale="en_US">Farrah </givenname>
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            <affiliation locale="en_US">Dow University of Health Science, Batterjee  Medical College, Jeddah, Saudi Arabia</affiliation>
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            <givenname locale="en_US">Nawaz</givenname>
            <familyname locale="en_US">Samoo</familyname>
            <affiliation locale="en_US">Department of Medicine, CPSP Pakistan, Batterjee Medical College, Saudi Arabia</affiliation>
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            <givenname locale="en_US">Fawad </givenname>
            <familyname locale="en_US">Ali</familyname>
            <affiliation locale="en_US">Department of Biotechnology, Bacha Khan University, Charsadda, KPK, Pakistan</affiliation>
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            <email>fawadali@wumardan.edu.pk</email>
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        <title locale="en_US">Association of Health-Related Quality of Life and Depression Among  Undergraduate Nursing Students</title>
        <subtitle locale="en_US">Relation Between Health And Depression Among Nursing Students</subtitle>
        <abstract locale="en_US">&lt;p&gt;Depression is greatly affect the health related quality of life inundergraduate nursing students and the prevalence of depression is extended day by day, as thenursing students have to face variety of problems and issue likehealth related issue, poor qualityof life, difficulty in focusing, feeling embraced and death anxiety because of their poor academicsystem and clinical performance. During the clinical practice the nursing students have to takedecision that how to give proper care and attention to patient, so the lack of confidence andanxiety result into stress and depression. The educational institutes should make better strategiesto improve the poor academic and clinical practice and then automatically depression decreasesaswell asthe healthrelatedissuesresolve. &lt;strong&gt;Objective: &lt;/strong&gt;The purpose of the study is to determine the association of health related quality oflifeand depression among undergraduate nursing students.&amp;nbsp;&lt;strong&gt;Methods: &lt;/strong&gt;This was observational study conducted on both female and male students at ShalimarTeaching Hospital, Lahore. A sample of 187 students was selected using non probabilitypurposive sampling. Students were selected by using predefined inclusion and exclusion criteria.After taking permission letter from the Hospital each student fill the Beck Depression Inventoryand SF (36) questionnaire. Data was analyzed by using SPSS version-21.0. Mean and standarddeviation were calculated for quantitative variables and data was presented in the form offrequency and percentage. &lt;strong&gt;Results: &lt;/strong&gt;The result is evaluated by applying chi-square test which shows that there is strongassociation between physical health and depression because the (p&amp;lt;0.05) and p value is 0.00,there is no association between mental health and depression among undergraduate nursingstudentsbecause the (p&amp;gt;0.05) and in thegiven result the p value is0.13.&amp;nbsp;&lt;strong&gt;Conclusion: &lt;/strong&gt;The study concluded that their association of health related quality of life anddepression among undergraduate nursing student from the two variables of QoL, the physicalhealthisstronglyaffectedwithdepressionbutthementalhealthisnotaffectedwithdepression&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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            <givenname locale="en_US">Sara </givenname>
            <familyname locale="en_US">Khawar</familyname>
            <affiliation locale="en_US">University Institute of Physical Therapy (UIPT), Faculty of Allied Health Sciences, University of Lahore</affiliation>
            <country>PK</country>
            <email>sara.kbutt48@gmail.com</email>
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            <givenname locale="en_US">Hamna</givenname>
            <familyname locale="en_US"> Ilyas</familyname>
            <affiliation locale="en_US">Physiotherapist, Shalamar Hospital, Lahore</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Sana</givenname>
            <familyname locale="en_US">Tauqeer</familyname>
            <affiliation locale="en_US">University Institute of Physical Therapy (UIPT), Faculty of Allied Health Sciences, University of Lahore</affiliation>
            <country>PK</country>
            <email>sana.tauqeer@uipt.uol.edu.pk</email>
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            <givenname locale="en_US">Arfa </givenname>
            <familyname locale="en_US">Khawar</familyname>
            <affiliation locale="en_US">University Institute of Physical Therapy (UIPT), Faculty of Allied Health Sciences, University of Lahore</affiliation>
            <country>PK</country>
            <email>arfakbutt05.ab@gmail.com</email>
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            <givenname locale="en_US">Hafiza Iqra </givenname>
            <familyname locale="en_US">Rubab</familyname>
            <affiliation locale="en_US">MS Riphah International University Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Hammad </givenname>
            <familyname locale="en_US">Shakeel</familyname>
            <affiliation locale="en_US">Physiotherapist Muhammadi Medical Trust Hospital Lahore </affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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        <title locale="en_US">Association of Neck Pain With Hand Grip Strength in Private School Teachers of Lahore</title>
        <subtitle locale="en_US">Neck Pain with Hand Grip Strength in Private School Teachers</subtitle>
        <abstract locale="en_US">&lt;p&gt;Neck pain is one of the most common musculoskeletal disorderand getting persistently developing all through the world.It is seen in different sorts of Professions, for instance, Dentists, Physiotherapists, Teachers, etc.Assessment of hand grip strength is compulsory for the assessment of upper limb disabilities and successful exercise treatment.The present investigation design to discover the relationship of neck pain as estimated by Visual Analog Scale (VAS), Neck Disability as estimated by Neck Disability Index (NDI) with hand grasping strength estimated by digital hand dynamometer in lb. (Unit). &lt;strong&gt;Objective:&lt;/strong&gt;To find the association of neck pain with hand grip strength in private school teachers of Lahore. &lt;strong&gt;Methods: &lt;/strong&gt;210 school teachers were selected. Data was collected from different schools of Lahore. Data was collected through self-made questionnaire and analyzed by SPSS version 24.0. Data was completed in a span of 11 visits. &lt;strong&gt;Results:&lt;/strong&gt;The prevalence of neck pain was 20.3%.Among 210 instructors, the pervasiveness of NPD and hand grasp quality was 48.7% and 45.6% individually. There was critical relationship between the degree of Neck pain and Hand grip strength. The association was found between them, NPD index and hand grip strength among selected participants is hundred percent. The above P value chi square value is 0.03 which is less than 0.05 which shows that there is association between and neck pain and Hand grip strength. &lt;strong&gt;Conclusion:&lt;/strong&gt;This research shows the association of neck pain with hand grip strength in school teachers.&lt;/p&gt;</abstract>
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        <copyrightYear>2021</copyrightYear>
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          <keyword>Spondylosis, disc herniation, NDI , Dynamometer</keyword>
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            <givenname locale="en_US">Abdullah </givenname>
            <familyname locale="en_US">Omer</familyname>
            <affiliation locale="en_US">Consultant Physiotherapist, Lahore</affiliation>
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            <givenname locale="en_US">Bazal `</givenname>
            <familyname locale="en_US">Bukhari</familyname>
            <affiliation locale="en_US">University Institute of Physical Therapy, University of Lahore, Lahore, Pakistan</affiliation>
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            <email>bazal.bukhari@uipt.uol.edu.pk</email>
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            <givenname locale="en_US">Narmeen</givenname>
            <familyname locale="en_US"> Haseeb</familyname>
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            <givenname locale="en_US">Zirwa </givenname>
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            <email>3@gmail.com</email>
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            <country>PK</country>
            <email>4@gmail.com</email>
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            <country>PK</country>
            <email>4@gmail.com</email>
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        <title locale="en_US">Use of favipiravir against Covid-19: A Review</title>
        <subtitle locale="en_US">Use of Favipiravir Against Covid-19: A Review</subtitle>
        <abstract locale="en_US">&lt;p&gt;Coronavirus disease 2019 (COVID-19) emerged as a global challenge for the world healthcare community. The use of favipiravir against COVID-19 was studied in various studies but its efficacy and side effects remain uncertain. Therefore, we aimed to analyze the use of favipiravir in patients suffering from coronavirus.The literature search was done by using several databases including MEDLINE, Google Scholar, Web of Science, PubMed, and Science Direct. To ensure the credibility and accuracy of the included articles we include only those studies that were published in indexed journals.&amp;nbsp; Furthermore, in this current review, we mainly include only those studies published from January 2015 to September2021. We included all the review and research articles published in the English language.The review of currently available literature suggests the use of favipiravir showed both some utility and side effects in patients diagnosed with coronavirus-19. Moreover, the use of this antiviral drug may show a promising role in mild to moderate COVID-19 patients and it may reduce the need for prolonged hospital stay and mechanical ventilation. But there is still a need to confirm the side effects and favipiravir efficacy in the patients suffering from this fatal disease.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Covid-19, Favipiravir, Coronavirus, Pandemic</keyword>
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            <givenname locale="en_US">Eiman </givenname>
            <familyname locale="en_US">Syed </familyname>
            <affiliation locale="en_US">Department of Medical Laboratory Technology, Faculty of Rehabilitation and Allied Health Sciences, Riphah International University, Lahore, Pakistan.</affiliation>
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            <email>eiman.syed@riphah.edu.pk</email>
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            <givenname locale="en_US">Mati</givenname>
            <familyname locale="en_US"> Ullah</familyname>
            <affiliation locale="en_US">Government College University, Faisalabad</affiliation>
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            <givenname locale="en_US">Ataul </givenname>
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            <email>sanaashiq72@gmail.com</email>
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        <title locale="en_US">Juglans Regia (Walnut Tree) Bark in Dentistry</title>
        <subtitle locale="en_US">Walnut Tree Bark in Dentistry</subtitle>
        <abstract locale="en_US">&lt;p&gt;Juglans regia, commonly known as the Walnut tree, is a type of a deciduous tree. The tree has many important parts, the seed, bark, husk, leaves, oil, shell of the fruit and the kernel. The plant has been used in its crude form since ages. The kernel holds nutritional value. The leaves contain an essential oil which is extracted and used. The husk contains steroids and vitamins amongst other useful compounds. The leaves are used topically as antipyretic, analgesic, antidandruff and to heal burns. The bark is tough and has been used for mechanical tooth cleaning due to its tough fibrous texture. It contains Juglone as its main and most important constituent. Juglone works as an anti-viral, anti-parasitic, anti-fungal, anti-bacterial, anti-inflammatory, and anti-cancerous agent. In dentistry it poses as an effective anti-plaque, anti-fungal, anti-bacterial, anti-cariogenic and tooth whitening material. It was concluded that in recent years, scientists and researchers have shown increasing interest towards the in depth understanding of the chemicals and compounds of the bark and its utilization in dental products towards improving dental treatment.&#xA0;&#xA0;&#xA0;&lt;/p&gt;
&lt;p&gt;The author would like to thank ORIC, Khyber Medical University for assistance in publication Reference No: KMU/ORIC/AR/005.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Walnut tree</keyword>
          <keyword>Juglone</keyword>
          <keyword>Juglans regia</keyword>
          <keyword>Walnut bark</keyword>
          <keyword>Dentistry</keyword>
        </keywords>
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            <givenname locale="en_US">Palwasha</givenname>
            <familyname locale="en_US">Khattak </familyname>
            <affiliation locale="en_US">Department of Dental Materials, Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>Palwashakhattak24@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="1" id="994">
            <givenname locale="en_US">Talha Falak</givenname>
            <familyname locale="en_US">Khalil</familyname>
            <affiliation locale="en_US">Department of Dental Materials, Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>dr.talhafalakkhalil@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="1" id="993">
            <givenname locale="en_US">Sabra</givenname>
            <familyname locale="en_US">Bibi</familyname>
            <affiliation locale="en_US">Department of Dental Materials, Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>zabreenkhan790@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="1" id="995">
            <givenname locale="en_US">Humaira</givenname>
            <familyname locale="en_US">Jabeen</familyname>
            <affiliation locale="en_US">Department of Dental Materials, Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>humairajabeen_16@yahoo.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="1" id="996">
            <givenname locale="en_US">Nawshad</givenname>
            <familyname locale="en_US">Muhammad</familyname>
            <affiliation locale="en_US">Department of Dental Materials, Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>nawshadbnu@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="1" id="997">
            <givenname locale="en_US">Muhammad Adnan</givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">Department of Dental Materials, Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>adnan.khan.37@hotmail.com</email>
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            <givenname locale="en_US">Saad</givenname>
            <familyname locale="en_US">Liaqat</familyname>
            <affiliation locale="en_US">Department of Dental Materials, Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan</affiliation>
            <country>PK</country>
            <email>saad_kcd@yahoo.com</email>
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        <title locale="en_US">The Role of Colour Doppler Imaging in the Diagnosis of Poly Cystic Ovarian . Syndrome</title>
        <subtitle locale="en_US">Colour Doppler Imaging in PCOS</subtitle>
        <abstract locale="en_US">&lt;p&gt;PCOS(Poly Cystic Ovarian Syndrome) is a hormonal disorder that affects women during their reproductive years (18-30year ).It is a condition that affects ovulation and the ovaries.Many fluid-filled sacs develop inside the ovaries in PCOS.These are follicles,each of which contains an immature egg.The egg is never mature enough to cause ovulation to occur. Important alterations in ovarian vascularization at the level of introvarian arteries occur in PCOS patients. &lt;strong&gt;Objective:&lt;/strong&gt; Is colour Doppler ultrasonography is helpful in evaluation of PCOS.&amp;nbsp;&lt;strong&gt;Method:&amp;nbsp;&lt;/strong&gt;An electronic database search with data range from 1999-2021 was performed(Science Direct, Google Scholar, PubMed, Springer).28 articles were found.All studies fully available evaluating PCOS ondoppler ultrasound. &lt;strong&gt;&lt;u&gt;Results:&amp;nbsp;&lt;/u&gt;&lt;/strong&gt;Performance of Doppler ultrasound diagnosis was evaluated. PCOS patients had decreased ovarian artery pulsatility index (PI), resistance index (RI), and SD ratios and increased uterine artery pulsatility index (PI), resistance index (RI), and SD ratios. &lt;strong&gt;&lt;u&gt;Conclusion: &lt;/u&gt;&lt;/strong&gt;It is concluded that lowest ovarian stromal resistance levels were found in the patients than the controls.&lt;/p&gt;</abstract>
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        <copyrightYear>2021</copyrightYear>
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          <keyword>PCOS, pulsatility index, resistivity index,  vascularization index, </keyword>
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            <givenname locale="en_US">Areeba </givenname>
            <familyname locale="en_US">Aslam</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and Medical Imaging Technology, TheUniversity of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>aslamareeba786@gmail.com</email>
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            <givenname locale="en_US">Syyeda </givenname>
            <familyname locale="en_US">Khadija</familyname>
            <affiliation locale="en_US">UniversityInstitute of Radiological sciences and Medical Imaging Technology, TheUniversity of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Aneeqa </givenname>
            <familyname locale="en_US">Aslam</familyname>
            <affiliation locale="en_US">Services Institute of Medical Sciences, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Sadia </givenname>
            <familyname locale="en_US">Shaukat</familyname>
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            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Swera</givenname>
            <familyname locale="en_US">Tariq</familyname>
            <affiliation locale="en_US">University Institute of Radiological sciences and Medical Imaging Technology, TheUniversity of Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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        <title locale="en_US">Knowledge, attitude and perceptions towards COVID-19 vaccination among the Pakistani population</title>
        <subtitle locale="en_US">Knowledge, Attitude, And Perceptions Towards COVID-19 Vaccination</subtitle>
        <abstract locale="en_US">&lt;p&gt;To assess the knowledge, attitude and perceptions towards COVID-19 vaccination among the Pakistani population. &lt;strong&gt;Methods: &lt;/strong&gt;This cross-sectional study was conducted for about 02 months in COVID-19 clinic of Qazi Hussain Ahmad Medical Complex, Nowshera, Pakistan. Data was collected through non probability convenient sampling after obtaining the ethical approval from Institutional Ethical Review Board (IERB), NMC. Sample size of 385 was calculated. All those who presented to COVID-19 clinic and were 18 years or above and were suspected of having COVID-19 irrespective of gender were included whereas those who were below 18 years and presented for other medical problems were excluded from this study. &lt;strong&gt;Results: &lt;/strong&gt;In the current study male participation was observed more than females (Male=271, 64.8%) and (Females=147, 35.2%). Out of whole sample (n=221, 52.9%) were previously vaccinated. More than half of the study participants were among 18-25 years of age (n=240, 57.4%). Among the whole sample (n=148, 35.4%) participants were married while (n=270, 64.6%) were unmarried and also most the participants were living with joint family system (n=279, 66.7%). Most of the study participants were educated. &lt;strong&gt;Conclusion: &lt;/strong&gt;The present study found high knowledge but low favorable attitudes for COVID-19 vaccinations among the Pakistani population.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Attitude, COVID-19, knowledge, perception, vaccination</keyword>
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            <givenname locale="en_US">Sobia </givenname>
            <familyname locale="en_US">Haris</familyname>
            <affiliation locale="en_US">Department of Medical Education, Nowshera Medical College, Nowshera</affiliation>
            <country>PK</country>
            <email>sobiaharis92@hotmail.com</email>
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          <author include_in_browse="true" user_group_ref="Author" seq="25" id="798">
            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Haris</familyname>
            <affiliation locale="en_US">Department of Anatomy, Nowshera Medical College, Nowshera</affiliation>
            <country>PK</country>
            <email>dx_harris@hotmail.com</email>
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            <givenname locale="en_US">Farah </givenname>
            <familyname locale="en_US">Deeba</familyname>
            <affiliation locale="en_US">Department of Medical Education, Nowshera Medical College, Nowshera</affiliation>
            <country>PK</country>
            <email>fara20017@gmail.com</email>
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            <givenname locale="en_US">Muhammad Jehangir </givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">Department of Pediatric Surgery, Makka Medical Center, Nowshera</affiliation>
            <country>PK</country>
            <email>drjehangir313@yahoo.com</email>
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        <title locale="en_US">Prevalence of Metabolic Syndrome in Polycystic Ovarian Syndrome</title>
        <subtitle locale="en_US">Metabolic Syndrome in PCOS</subtitle>
        <abstract locale="en_US">&lt;p&gt;Metabolic Syndrome has High Prevalence in PCOS.&lt;strong&gt;Objective&lt;/strong&gt;:This present study was conducted to evaluate the prevalence of MetS in PCOS patients using the related previously published data.&lt;strong&gt;Methods: &lt;/strong&gt;The present systematic review was based on the Preferred Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The search was done using MeSH keywords in databases of PubMed, biomedcentral.com, Obgyn science and Google scholar search. We used Cochran's Q test and I&lt;sup&gt;2&lt;/sup&gt; Index to evaluate the relation among the studies and the random effects model was used to combine the results. Article review and discussion were precisely described with their refrences on the end of study.&lt;strong&gt;Results: &lt;/strong&gt;12 studies including 2600 plus patients with PCOS were included in the final analysis. Total heterogeneity was high . The prevalence of MetS in PCOS patients was estimated to about 70% in total patients with the history of pcos.&lt;strong&gt;Conclusion:&lt;/strong&gt;Considering the prevalence of Metaboolic Syndrome in PCOS patients, diagnosis of Metabolic Syndrome in PCOS patients is necessary to reduce the causes and effects on the mortality rate.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Polycystic Ovarian Syndrome; Metabolic  Syndrome, Obesity; High blood pressure;  Diabetes; Dyslipidemia</keyword>
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            <givenname locale="en_US">Amna </givenname>
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            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY ,FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>Uswaali002@gmail.com</email>
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            <givenname locale="en_US">Syeda </givenname>
            <familyname locale="en_US">Khadija </familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY ,FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>syyedakhadija55@gmail.com</email>
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            <givenname locale="en_US">Raisa </givenname>
            <familyname locale="en_US">Shazadi</familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY ,FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
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            <givenname locale="en_US">Wajiha </givenname>
            <familyname locale="en_US">Zafar</familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY ,FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Kinza </givenname>
            <familyname locale="en_US">Rasool </familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY ,FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>kinzarasool66@gmail.com</email>
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            <givenname locale="en_US">Anam </givenname>
            <familyname locale="en_US">Fazal</familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY ,FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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        <title locale="en_US">What is The Prevalence of Genetic Disorders That Cause Effects On In Fertility?</title>
        <subtitle locale="en_US">Genetic Disorders &amp; Infertility</subtitle>
        <abstract locale="en_US">&lt;p&gt;Infertility rates increases day by day and major reason can be genetic disorders.&lt;strong&gt;Objective: &lt;/strong&gt;To review the prevalence and effects of genetic defects that can cause infertility.10 to 20% of patients have severe infertility disorders. To find out whether genetic material defects are really major infertility cause or not? And what are their prevalence.. Infertility is common health condition. Genetic cause are majorly unexplained but 2300 genes expressed that can retranslate and their mutation can cause of infertility.Handfull of genes and genetic effects are associated with human genome to express genes. Mostly tests added to check male infertility annually.&lt;strong&gt;Methods: &lt;/strong&gt;I analyse and evaluate 12 articles from (1997-2011) from Google scholar, PubMed etc. All data is reviewed from infertility complaints. The data is extracted from Medline, PubMed and Obsgyne online library.&lt;strong&gt;Results: &lt;/strong&gt;Those studies which conducted between years 1985 to 2011 are included in review. The sample size included more than 300 men and women aged between 20 to 40 years. In this study we evaluated that genomic technologies and advent of fertility tips can help in fertile patients. Metabolic chromosomal defects can be genetic disorders by deletion of chromosomes abnormLly.SOX9 chromosome is also play basic role in men fertility. Semen collection and measurements done and proper advances can be seen through research to follow up infertile patients. Comprehensive diagnosis started to advance the research and to increase the prognostic information.&lt;strong&gt;Conclusions: &lt;/strong&gt;Infertility can be caused by genomic abnormalities and chromosomal abnormalities. Molecular techniques can help to reduce the abnormalities. In reality we are unable to establish genotype phenotype relationship and various testicular pattern to see infertile men.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Genetic disorders, Fertility, Prevalence,  Chromosomal abnormality</keyword>
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            <givenname locale="en_US">Raisa </givenname>
            <familyname locale="en_US">Shazadi</familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>raisa.shahzadi18@gmail.com</email>
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            <givenname locale="en_US">Syeda </givenname>
            <familyname locale="en_US">Khadija </familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>Syyedakhadija55@gmail.com</email>
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            <givenname locale="en_US">Amna </givenname>
            <familyname locale="en_US">Sana</familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Kinza</givenname>
            <familyname locale="en_US"> Rasool</familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Anam </givenname>
            <familyname locale="en_US">Fazal</familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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            <givenname locale="en_US">Wajiha </givenname>
            <familyname locale="en_US">Zafar </familyname>
            <affiliation locale="en_US">RADIOLOGICAL SCIENCES &amp; MEDICAL IMAGING TECHNOLOGY FACULTY OF ALLIED HEALTH SCIENCES, THE UNIVERSITY OF LAHORE</affiliation>
            <country>PK</country>
            <email>wajihazafar707@gmail.com</email>
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        <title locale="en_US">Therapeutic Effect of Moringa Oleifera: A Review</title>
        <abstract locale="en_US">&lt;p&gt;Moringaoleifera, a highly valued plant produced globally and utilised in several food compositions, has medical and industrial purposes.This plant is gaining popularitydue to its nutrient-rich leaves, pods, seeds, and flowers. Moringa oleifera, such as a miracle tree, has many health benefits, and it is a rich source of specific essential&amp;nbsp;nutritional componentsand various health benefits.The oil from seeds was extracted and used for skin lotion and perfume. The most widely studied part of the Moringa plant is Moringa leaves and has many benefits related to health in various chronic conditions like liver diseases, hypertension, diabetes, cancer,hypercholesterolemia, insulin resistance, and inflammation.Moringa leaves extract can also be used to treat diabetes, cardiovascular disease, and malnutrition, while Moringa seeds can be utilised to enhance water quality. Moringa is a source of nutrition due to various essential phytochemicals, which are present in its leaves, pods, and seeds. It can be used for many nutritional as well as for commercial purposes. Moringa has many nutrientswhich have significant health benefits for the maintenance of the body. The seed powderof Moringa can be used to purify dirty water modestly and rapidly, and it possesses many health benefits.&lt;/p&gt;</abstract>
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        <title locale="en_US">RICE BRAN; A POTENTIAL COMMODITY</title>
        <abstract locale="en_US">&lt;p&gt;Rice crop is cultivated in large amount worldwide and the outward layer of rice grain isbran that is the most important rice by-product.Rice bran and its oil carry bioactive components in large amount and these compoundsare used to treat number of diseases and health defects, it is also used on industrial scalelike in cosmetics.Bioactive components like &#x3B3;-Oryzanol, flavonoids, phytic acid, phenolics, phytic acid are present in rice bran.Rice wheat has incredible potential in the food business, particularly in the assembling of usefulnourishments, such as active baking products. The fortified rice or its components are used asadditives in number of food matrices such as pizza, cookies, bread, beverages,tuna oil, powdered beef and milk for practical and nutritious purposes.Rice bran can be used to developlow fat and high fibrous products of bakery. It is also used in meat emulsion and industrial battermixtures. In incorporation to the physical wellbeing that are provided by rice bran. Rice branused as a high fiber diet can provide texture, firmness, emulsifying properties, gelling and certainstabilizing properties. Nourishments covered with a strong layer of rice regularly retain low fatduring browning however the modest quantity of fat discovered normally in rice wheat fiber alsogo about as a flavor transporter. Boiled rice contains a lot of amino acids that are important forhumans and because of it is used as a new nutritional constituent. Rice bran contains about ten-fifteen percent increased protein. The protein composition construct on rice bran can help controlthe disorders associated with a protein diet. In addition, unique anticancer and hypoallergenicproperties make rice bran protein higher than cereal protein.Owing to its noteworthy nutritive and helpful esteem, rice bran may upgrade&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Maria</givenname>
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            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>maria.aslam@ahs.uol.edu.pk</email>
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        <title locale="en_US">Emergence of FAD Diets and Obesity-Related Perceptions and Practices Among  University Students</title>
        <subtitle locale="en_US">Fad Diets and Obesity-related Perceptions and Practices</subtitle>
        <abstract locale="en_US">&lt;p&gt;The prevalence of obesity is increasing day by day and is becoming a serious issue worldwide. Obesity leads to different chronic diseases such as diabetes, CVD, hypertension etc. In attempts to lose weight faster people try different diets and Fad diets are a part of these diets. Keto genic diet, Atkins diet, vegan diet, liquid diet are some examples of these diets. &lt;strong&gt;Objective:&#xA0;&lt;/strong&gt;To assess the emergence of fad diets and obesity related perceptions and practices among university students.&#xA0;&lt;strong&gt;Methods: &lt;/strong&gt;A cross sectional study design with a sample size of 100 students were randomly selected from 4 different universities; University of Lahore, LUMS, Forman Christian College and Superior University. Data was collected from the participants through a questionnaire. &lt;strong&gt;Results:&#xA0;&lt;/strong&gt;Questions regarding knowledge and perceptions about obesity and fad diets were asked to which majority of the participants answered that they knew about BMI and it being a major indicator of obesity (73%). When they were asked about knowledge of obesity related to diet and sleep 88% agreed to it being interlinked while 19% disagreed. Upon asking what the respondents thought was the main cause of weight gain 14% replied junk food, 22% replied to lack of exercise, 27% said unhealthy eating practices but majority 35% outlined lack of exercise combined with unhealthy eating practices as the foremost cause of increasing rates of obesity. When asked if the participants followed any fad diets they answered with different diets; 12 respondents followed Atkins, 20 followed keto, 7 followed vegans, 4 followed liquid diet, and 32 followed other fad diets while 32 participants didn&#x2019;t follow any fad diet. The correlation between fad diets and their effectiveness was determined and the results showed a significant correlation (p&amp;lt;0.05). Most of the participants were females (57 females and 43 males) and through the present study it was evaluated that mostly females followed such fad diets as compared to males.&#xA0;&lt;strong&gt;Conclusion:&#xA0;&lt;/strong&gt;Fad diets have been in trend from a long time and people mainly follow it to lose weight quickly and to get into a certain body shape. However, restricting specific food groups leads to drawback that cause health issues. Following a fad diet is short-term solution to obesity that can be reversed easily by slipping back into old eating patterns. The long-term solution to obesity is to eat a healthy balanced diet and to be physically active.&lt;/p&gt;</abstract>
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        <copyrightYear>2022</copyrightYear>
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          <keyword>FAD diets, obesity, comorbidities</keyword>
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            <givenname locale="en_US">Maria</givenname>
            <familyname locale="en_US">Aslam</familyname>
            <affiliation locale="en_US">University Institute of Dietand Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan.</affiliation>
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            <givenname locale="en_US">Anosha </givenname>
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            <givenname locale="en_US">Javaria</givenname>
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            <givenname locale="en_US">Syeda Ume </givenname>
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            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, UIDNS, The University of Lahore, Lahore, Pakistan</affiliation>
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        <title locale="en_US">Community Perceptions Regarding Chikungunya Vector Proof Housing In Lahore, Pakistan for Sustainable Development</title>
        <abstract locale="en_US">&lt;p style="margin: 0in; margin-bottom: .0001pt; text-align: justify; text-justify: inter-ideograph; line-height: 150%;"&gt;&lt;span style="color: #0e101a;"&gt;Sustainable Development Agenda is gaining importance, acknowledging its importance right adaptation of interventions for housing regarding vector-borne disease prevention as suggested by &#x201C;Keeping the Vector Out&#x201D; can make cities and human settlements vector-proof and sustainable.&lt;strong&gt;Objective:&lt;/strong&gt; To assess community perceptions regarding chikungunya vector-proof housing for sustainable development.&#xA0;&lt;/span&gt;&lt;strong&gt;&lt;span style="color: #0e101a;"&gt;MethodS:&lt;/span&gt;&lt;/strong&gt;&lt;span style="color: #0e101a;"&gt; Descriptive cross-sectional study included 400 households of Aziz Bhatti Town, Lahore. A semi-structured questionnaire administered by personal interview method to the available and willing adult member of the household by Researcher with the environmental inspector and lady sanitary patrol of Dengue and Polio survey teams of DDO office Aziz Bhatti Town Lahore, using simple random sampling technique after consent and ethical approval. The questionnaire was pre-tested (Pilot). Data analyzed using SPSS 20.0.&#xA0;&lt;/span&gt;&lt;strong&gt;&lt;span style="color: #0e101a;"&gt;Results:&lt;/span&gt;&lt;/strong&gt;&lt;span style="color: #0e101a;"&gt;&#xA0;Among 400 households interviewed, the majority 69.7% were living in houses that were built &amp;gt;9 years ago, 86.8 % were concrete. Climatic change and global warming can increase disease carried by mosquito AedesAegypti believed by 90.2 % and their impact can be mitigated by improved housing reported by 91.5%. Regarding community perceptions about vector-proof housing, 74.6% believed that improved house design can prevent entry and breeding of mosquitoes therefore, 86.3% screened windows doors and eaves, 83.0% believed that they always checked cracks and crevices in the wall, floor and roof and cemented them. But 58.7% believed that they do not consider mosquito prevention housing interventions as one of the important factors when constructing their house as among barriers 73.5% could not afford modern building materials, 73.5% lack detailed knowledge and 13.8% thought screening as an obstruction to ventilation. Dengue, Chikungunya, and Zika disease are spread by Aedes mosquito species believed by 78% who (agreed and strongly agreed) still 81.8% urged for health education regarding chikungunya vector proof housing.&lt;/span&gt;&lt;strong&gt;&lt;span style="color: #0e101a;"&gt;Conclusion:&lt;/span&gt;&lt;/strong&gt;&lt;span style="color: #0e101a;"&gt;&#xA0;Housing improvement can mitigate the impacts of climatic change and vector-borne disease. But health program planners need to identify and facilitate the removal of barriers for adoption of Vector proof housing.&lt;/span&gt;&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Serena </givenname>
            <familyname locale="en_US">Taj</familyname>
            <affiliation locale="en_US">Institute of Public health, Quetta, Pakistan</affiliation>
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            <email>1@gmail.com</email>
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            <givenname locale="en_US">Saleem Muhammad </givenname>
            <familyname locale="en_US">Rana</familyname>
            <affiliation locale="en_US">Institute of Public health, The University of Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Amber </givenname>
            <familyname locale="en_US">Hassan</familyname>
            <affiliation locale="en_US">University Institute of Public health, The University of Lahore</affiliation>
            <country>PK</country>
            <email>amberhassan7@gmail.com</email>
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            <givenname locale="en_US">Tallat Anwar </givenname>
            <familyname locale="en_US">Faridi</familyname>
            <affiliation locale="en_US">University Institute of Public health, The University of Lahore</affiliation>
            <country>PK</country>
            <email>tallat.anwar@pht.uol.edu.pk</email>
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            <givenname locale="en_US">Akash </givenname>
            <familyname locale="en_US">John</familyname>
            <affiliation locale="en_US">University Institute of Radiological and Medical Imaging Sciences, The University of Lahore, Gujrat Campus</affiliation>
            <country>PK</country>
            <email>akashjohn10048@gmail.com</email>
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        <title locale="en_US">Opinion of Speech Language Pathologist about Teletherapy in treatment of Autism Spectrum Disorder</title>
        <abstract locale="en_US">&lt;p&gt;To find out the opinion of speech language pathologistabout teletherapy in treatment of Autism Spectrum Disorder in light of Coronavirus disease 2019 (COVID-19) pandemic.&lt;strong&gt;Study Design:&lt;/strong&gt;The study design was cross-sectional.&lt;strong&gt;Settings:&lt;/strong&gt; The data was collected through social media or online survey via Google forms.&lt;strong&gt;Study Duration:&lt;/strong&gt; The duration of study was 6 months from January to June 2021.&lt;strong&gt;Material and method:&lt;/strong&gt;To assess opinion about teletherapy, a convenient sampling technique was held in which speech therapist (n=113) completed an online survey amidst COVID-19 with 20 questions related to providing teletherapy service. A questionnaire was developed with the help of expert opinion and literature review. Measures of ratings included custom-made attitudinal statements towards teletherapy by Speech Therapist. &lt;strong&gt;Results:&lt;/strong&gt;The results indicate that 8.7% speech therapists plan to discontinue teletherapy after COVID-19 pandemic while 48% speech therapists were satisfying with teletherapy service. None of the participants plans to switch completely to teletherapy. Besides technical conditions, other factors also have influence on teletherapy.&lt;strong&gt;Conclusion: &lt;/strong&gt;The delivery of teletherapy has been found to be an efficacious, acceptable and feasible treatment modality for individual therapy.&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Fatima </givenname>
            <familyname locale="en_US">Hussain</familyname>
            <affiliation locale="en_US">Department of Rehabilitation Sciences, Faculty of Allied Health Sciences, The University of Lahore</affiliation>
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            <givenname locale="en_US">Amna </givenname>
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            <givenname locale="en_US">Muhammad Azzam </givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">Department of Rehabilitation Sciences, Faculty of Allied Health Sciences, The University of Lahore</affiliation>
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            <givenname locale="en_US">Ruhamah </givenname>
            <familyname locale="en_US">Yousaf</familyname>
            <affiliation locale="en_US">Department of Rehabilitation Sciences, Faculty of Allied Health Sciences, The University of Lahore.</affiliation>
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            <givenname locale="en_US">M Sikander Ghayas </givenname>
            <familyname locale="en_US">Khan</familyname>
            <affiliation locale="en_US">Department of Rehabilitation Sciences, Faculty of Allied Health Sciences, University of Lahore.</affiliation>
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            <givenname locale="en_US">Iqra </givenname>
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            <affiliation locale="en_US">Department of Health Professional Technologies,Faculty of Allied Health Sciences, University of Lahore</affiliation>
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            <email>3@gmail.com</email>
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            <givenname locale="en_US">Khadija </givenname>
            <familyname locale="en_US">Saleem</familyname>
            <affiliation locale="en_US">Department of Rehabilitation Sciences, Faculty of Allied Health Sciences, University of Lahore.</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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            <givenname locale="en_US">Tallal Anwar </givenname>
            <familyname locale="en_US">Faridi</familyname>
            <affiliation locale="en_US">University Institute of Public Health, Faculty of Allied Health Sciences, The University of Lahore</affiliation>
            <country>PK</country>
            <email>tallat.anwar@pht.uol.edu.pk</email>
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        <title locale="en_US">Burnout Among Speech Language Pathologists in Work Settings</title>
        <subtitle locale="en_US">Burnout Among Speech Language Pathologists</subtitle>
        <abstract locale="en_US">&lt;p&gt;Speech-language pathologists being the important component of the health care professionals arevulnerable to Burnout syndrome. This generated a necessity to come up with approaches to eradicate this burnout by providing compensations from the organizations and taking care of the well being, job satisfaction of the speech-language pathologists. &lt;strong&gt;Objective: &lt;/strong&gt;To assess the burnout among Speech-language pathologists in clinical and academic setup.&lt;strong&gt;Methodology: &lt;/strong&gt;A cross-sectional study was held in which speech-language pathologists (n= 133) completed an online survey with 15 questions related to Burnout. A self-designed questionnaire was developed with the help of expert opinion and literature review. Measures of ratings included custom-made attitudinal statements towards burnout by Speech-language pathologists.&lt;strong&gt;Results: &lt;/strong&gt;The outcome demonstrates that 46.5% of Speech-language pathologists experience Burnout which suggests that there&#x2019;s no substantial burnout among Speech-language pathologists in clinical and academic setup.&lt;strong&gt;Conclusion(s):&lt;/strong&gt;Job contentment, pressure, and burnout were found to be attributed to several occupational aspects, comprising components of need, assistance, and reward. No prior surveys have analyzed the interaction between various components of a job, which might increase satisfaction or alleviate tension in SLPs.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
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          <keyword>Burnout syndrome, Speech-language  pathologists, Comparison, Academic, Clinical, . Practices</keyword>
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            <givenname locale="en_US">Muhammad Azzam </givenname>
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            <affiliation locale="en_US">Department of Rehabilitation Sciences, Faculty of Allied Health Sciences, The University of Lahore</affiliation>
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            <givenname locale="en_US">Bareera </givenname>
            <familyname locale="en_US">Saeed</familyname>
            <affiliation locale="en_US">Department of Rehabilitation Sciences, Faculty of Allied Health Sciences, The University of Lahore</affiliation>
            <country>PK</country>
            <email>bareerasaeedwarraich@gmail.com</email>
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            <givenname locale="en_US">Muhammad </givenname>
            <familyname locale="en_US">Ahmed</familyname>
            <affiliation locale="en_US">Department of Rehabilitation Sciences, Faculty of Allied Health Sciences, The University of Lahore</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
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            <givenname locale="en_US">Ruhamah</givenname>
            <familyname locale="en_US"> Yousaf</familyname>
            <affiliation locale="en_US">Department of Rehabilitation Sciences, Faculty of Allied Health Sciences, The University of Lahore</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
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            <givenname locale="en_US">Saba </givenname>
            <familyname locale="en_US">Yaqoob</familyname>
            <affiliation locale="en_US">Department of Speech Language Pathology, Nur International University, Lahore, Pakistan.</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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            <givenname locale="en_US">Muhammad Sikander </givenname>
            <familyname locale="en_US">Ghayas Khan</familyname>
            <affiliation locale="en_US">Department of Rehabilitation Sciences, Faculty of Allied Health Sciences, The University of Lahore</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
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            <givenname locale="en_US">Wafa </givenname>
            <familyname locale="en_US">Fatima</familyname>
            <affiliation locale="en_US"> University Institute of Public Health, Faculty of Allied Health Sciences, The University of Lahore</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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            <givenname locale="en_US">Tallal Anwar </givenname>
            <familyname locale="en_US">Faridi</familyname>
            <affiliation locale="en_US">University Institute of Public Health, Faculty of Allied Health Sciences, The University of Lahore.</affiliation>
            <country>PK</country>
            <email>6@gmail.com</email>
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        <title locale="en_US">Physio-chemical and acceptability analysis of Tamarind plum squash at different concentrations</title>
        <subtitle locale="en_US">Analysis of Tamarind Plum Squash at Different Concentrations</subtitle>
        <abstract locale="en_US">&lt;p&gt;Tamarind plum containing red flesh, peeled are very exciting fruit due to their high content on bioactive compounds, such as the anthocyanins and other polyphenolic compounds with a high antioxidant capacity. These natural substances found in plum acts to prevent diseases such as diabetes and cancer. In this study squash was prepared with Tamarind plum.&lt;strong&gt;Objective:&lt;/strong&gt;To find out Physio-chemical and acceptability analysis of tamarind plum at different concentrations.&lt;strong&gt;Methods:&lt;/strong&gt;The tamarind plum was used to prepare squash with different percentage of tamarind juice and plum juice but at same percentage of sugar, water and sodium benzoic acid. Prepared squash was filled in polyethylene terephthalate bottles and analyzed after 0, 15, 30, 45, 60, 75 and 90days of storage. The Tamarind plum squash was subjected to Total Phenolic compounds,pH and Ascorbic acid. &lt;strong&gt;Result:&lt;/strong&gt; Ascorbic Acid (33.46), pH (2.29) and TPC (0.78) were observed in squash prepared using tamarind juice (350ml), plum juice (400), sodium benzoic acid, sugar and water (2g, 1kg and 250ml). Storage showed significant effect on Ascorbic Acid and pHduring ninety days storage.&lt;strong&gt;Conclusion:&lt;/strong&gt;On the basis of above results it was concluded that sample TPS3 show best in keeping quality during storage time intervals. Hence, the results of sample TPS3 of tamarind plum blended squash is more recommended in terms of commercial use and for large scale industrial production. Squash prepared from tamarind and plum are more acceptable to consumers because of sour test, need commercialization.&lt;/p&gt;</abstract>
        <licenseUrl>https://creativecommons.org/licenses/by/4.0</licenseUrl>
        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Physio-chemical, Acceptability, Taramind, Plum,  Squash, PH.</keyword>
        </keywords>
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            <givenname locale="en_US">Muhammad Yasir </givenname>
            <familyname locale="en_US">Rafique</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences, The University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="23" id="609">
            <givenname locale="en_US">Zainab </givenname>
            <familyname locale="en_US">Sharmeen</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences, The University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>2@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="23" id="610">
            <givenname locale="en_US">Shahid </givenname>
            <familyname locale="en_US">Bashir</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences, The University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>3@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="23" id="611">
            <givenname locale="en_US">Misbah </givenname>
            <familyname locale="en_US">Arshad</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences, The University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>fatimamisbah10@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="23" id="612">
            <givenname locale="en_US">Asad </givenname>
            <familyname locale="en_US">Nawaz</familyname>
            <affiliation locale="en_US">University Institute of Diet and Nutritional Sciences, Faculty of Allied Health Sciences, The University of Lahore, Lahore Pakistan</affiliation>
            <country>PK</country>
            <email>4@gmail.com</email>
          </author>
          <author include_in_browse="true" user_group_ref="Author" seq="23" id="613">
            <givenname locale="en_US">Majida Umar </givenname>
            <familyname locale="en_US">Nasib</familyname>
            <affiliation locale="en_US">Department of Human Nutrition &amp; Dietetics, Knowledge Unit Health Sciences, University of Management &amp; Technology, Sialkot Pakistan</affiliation>
            <country>PK</country>
            <email>5@gmail.com</email>
          </author>
        </authors>
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        <title locale="en_US">FREQUENCY OF INTRACRANIAL HEMATOMAS RELATED TO TRAUMATIC SKULL OR FACIAL INJURIES EVALUATED ON COMPUTED TOMOGRAPHY</title>
        <subtitle locale="en_US">Intracranial Hematomas Evaluated On CT</subtitle>
        <abstract locale="en_US">&lt;p&gt;Patients sustaining maxillofacial fractures are at risk of accompanying traumatic intracranial hematomas, which are a major cause of morbidity and mortality. Prompt recognition of the clinical signs, followed by a neurosurgical inspection and diagnosis, is crucial for improving patient survival and recovery. &lt;strong&gt;Objective:&lt;/strong&gt; To determine frequency of intracranial hematoma related to traumatic skull and facial injuries evaluated on Computed Tomography. &lt;strong&gt;Methods:&lt;/strong&gt; This study was conducted on 195 patients from radiological department of Lahore General hospital who had road traffic accident. In this Cross-sectional study conduction advance 16 multislice CT device which shows advanced desire 3D and was used to assess intracranial hematoma in patients with skull and facial fractures. All patients with intracranial hematomas related to skull and facial injuries in trauma center and all age groups without any gender specificity were included in this study. All patients having bleeding disorders or using anti-coagulant were excluded. &lt;strong&gt;Results:&lt;/strong&gt; Out of 195 patients in which 48 (24.6%) were females and 147 (75.4%) were males. 132 (67.7%) patients out of 195 patients had headache, 64 (32.8%) patients had nausea, 116 (59.5%) patients had vomiting, 149 (76.4%) patients had speaking difficulty, 71 (36.4%) patients had External bleeding and 133 (68.2%) had consciousness. Total number of 195 patients out of which 179 (91.8%) had Intracranial hematoma. &lt;strong&gt;Conclusion:&lt;/strong&gt; On the basis of the results it was concluded that head and facial injury had increase prevalence rate in people with road traffic accident but no significant difference was observed between head and facial fracture cases with ICH.&lt;/p&gt;</abstract>
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        <copyrightHolder locale="en_US">Pakistan BioMedical Journal</copyrightHolder>
        <copyrightYear>2021</copyrightYear>
        <keywords locale="en_US">
          <keyword>Computed Tomography, Facial injury, Intracranial  Hematoma, Subdural hemorrhage, Traumatic  head injury</keyword>
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            <givenname locale="en_US">Sana </givenname>
            <familyname locale="en_US">Asif</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and MIT, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>sanaasif.1995@gmail.com</email>
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            <givenname locale="en_US">Memona</givenname>
            <familyname locale="en_US"> nazir</familyname>
            <affiliation locale="en_US">University of lahore1University Institute of Radiological Sciences and MIT, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>memona.nazir@rsmi.uol.edu.pk</email>
            <biography locale="en_US">&lt;p&gt;Senior lecturer at FAHS University of Lahore&lt;/p&gt;</biography>
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            <givenname locale="en_US">Syed Muhammad </givenname>
            <familyname locale="en_US">Yousaf Farooq</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and MIT, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>yousafgilani@gmail.com</email>
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            <givenname locale="en_US">Mehreen </givenname>
            <familyname locale="en_US">Fatima </familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and MIT, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>mehreen.fatima@uipt.uol.edu.pk</email>
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            <givenname locale="en_US">Manahil </givenname>
            <familyname locale="en_US">Saleem</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and MIT, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>manahil1231@gmail.com</email>
            <biography locale="en_US">&lt;p&gt;5th year student at universty of lahore&lt;/p&gt;</biography>
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            <givenname locale="en_US">Syed Ali </givenname>
            <familyname locale="en_US">Leezam</familyname>
            <affiliation locale="en_US">University Institute of Radiological Sciences and MIT, The University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>70034363@student.uol.edu.pk</email>
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            <country>PK</country>
            <email>lina.jallad96@hotmail.com</email>
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        <title locale="en_US">Impact of Essential Fatty Acids Consumption in Combating Neurological Disorders</title>
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        <abstract locale="en_US">&lt;p&gt;Modernization of society have caused various momentous changes in dietary habits of people in this era of modern world. The modern dietary patterns are typically composed of Fatty acids mainly saturated fatty acids along with refined carbohydrates. This present-day diet together with a lifestyle with reduced physical activity is a major determinant of various metabolic disorders like obesity and diabetes. All these factors are also causing a gradual increase in the prevalence of cognitive disorders mainly depressive disorders and mood disorders. Neuroinflammation is the link between the metabolic disorders and cognitive disorders and this correlation is evident by significant clinical and epidemiological data. Fatty acids are of major interest as they have twofold functions. They are major contributors of modern diet causing obesity, diabetes and other metabolic disorders and on the other hand they serve as signaling molecules in the inflammatory responses. The difference lies in the choice of the fatty acids that are included as a part of daily diet. Saturated fatty acids are the ones should be avoided as they are the components of high caloric obesogenic diets whereas, polyunsaturated including Omega-6 and Omega-3 fatty acids must be consume through daily foods to prevent from Neuroinflammation considered to be the major cause of neuropsychiatric disorders.&lt;/p&gt;</abstract>
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        <title locale="en_US">Therapeutic effect of garlic containing S-allyl cysteine and Diallyl-di-sulfide on improving blood lipid profile</title>
        <subtitle locale="en_US">Garlic Containing S-allyl Cysteine and Diallyl-di-Sulfide in Lipid Profile</subtitle>
        <abstract locale="en_US">&lt;p&gt;Cardiovascular-related diseases are considered as the major risk for health and may lead to many illnesses. Hyperlipidemia is the highest common cause of diseases related to heart known as CHD. Since ancient times, innumerable herbs and organic foods are used to treat diseases among which garlic has been shown beneficial for treating hyperlipidemia and normalizing lipid profile levels. Garlic may be used in different forms like powder, tablets, extracts or after ageing. Its sulfur containing compounds like allicin, S-allylcysteine, alliin, ajoene, diallyl disulfide are proven to have the pharmacological benefits. The main aim of the current review is to analyze and evaluate the studies regarding anti-hyperlipidemic effects of garlic and its supplements on normalizing lipid profile among hyperlipidemicsubjects.After analyzing different studies being carried out earlier, it is concluded that garlic is effective in managing lipid profile including total cholesterol, triglycerides, LDL, HDL levels among people with hyperlipidemia ranging from mild to moderate intensity.&lt;/p&gt;</abstract>
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            <givenname locale="en_US">Ayesha </givenname>
            <familyname locale="en_US">Siddiqa</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, Faculty of Allied Health Sciences, University of Lahore, Lahore, Pakistan</affiliation>
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            <email>siddiqa_7@hotmail.com</email>
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            <givenname locale="en_US">Shahnai </givenname>
            <familyname locale="en_US">Basharat</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, Faculty of Allied Health Sciences, University of Lahore, Lahore, Pakistan</affiliation>
            <country>PK</country>
            <email>1@gmail.com</email>
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            <givenname locale="en_US">Fizza </givenname>
            <familyname locale="en_US">Mubarik</familyname>
            <affiliation locale="en_US">University Institute of Diet &amp; Nutritional Sciences, Faculty of Allied Health Sciences, University of Lahore</affiliation>
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            <givenname locale="en_US">Fatima </givenname>
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            <country>PK</country>
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            <givenname locale="en_US">Muhammad</givenname>
            <familyname locale="en_US"> Ali</familyname>
            <affiliation locale="en_US">Newfoundland University, Canada</affiliation>
            <country>CA</country>
            <email>5@gmail.com</email>
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</issue>