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            "version": 4,
            "itemType": "journalArticle",
            "title": "Accuracy and readability of cardiovascular entries on Wikipedia: are they reliable learning resources for medical students?",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Samy A.",
                    "lastName": "Azer"
                },
                {
                    "creatorType": "author",
                    "firstName": "Nourah M.",
                    "lastName": "AlSwaidan"
                },
                {
                    "creatorType": "author",
                    "firstName": "Lama A.",
                    "lastName": "Alshwairikh"
                },
                {
                    "creatorType": "author",
                    "firstName": "Jumana M.",
                    "lastName": "AlShammari"
                }
            ],
            "abstractNote": "OBJECTIVE: To evaluate accuracy of content and readability level of English Wikipedia articles on cardiovascular diseases, using quality and readability tools.\nMETHODS: Wikipedia was searched on the 6 October 2013 for articles on cardiovascular diseases. Using a modified DISCERN (DISCERN is an instrument widely used in assessing online resources), articles were independently scored by three assessors. The readability was calculated using Flesch-Kincaid Grade Level. The inter-rater agreement between evaluators was calculated using the Fleiss κ scale.\nRESULTS: This study was based on 47 English Wikipedia entries on cardiovascular diseases. The DISCERN scores had a median=33 (IQR=6). Four articles (8.5%) were of good quality (DISCERN score 40-50), 39 (83%) moderate (DISCERN 30-39) and 4 (8.5%) were poor (DISCERN 10-29). Although the entries covered the aetiology and the clinical picture, there were deficiencies in the pathophysiology of diseases, signs and symptoms, diagnostic approaches and treatment. The number of references varied from 1 to 127 references; 25.9±29.4 (mean±SD). Several problems were identified in the list of references and citations made in the articles. The readability of articles was 14.3±1.7 (mean±SD); consistent with the readability level for college students. In comparison, Harrison's Principles of Internal Medicine 18th edition had more tables, less references and no significant difference in number of graphs, images, illustrations or readability level. The overall agreement between the evaluators was good (Fleiss κ 0.718 (95% CI 0.57 to 0.83).\nCONCLUSIONS: The Wikipedia entries are not aimed at a medical audience and should not be used as a substitute to recommended medical resources. Course designers and students should be aware that Wikipedia entries on cardiovascular diseases lack accuracy, predominantly due to errors of omission. Further improvement of the Wikipedia content of cardiovascular entries would be needed before they could be considered a supplementary resource.",
            "publicationTitle": "BMJ open",
            "publisher": "",
            "place": "",
            "date": "2015",
            "volume": "5",
            "issue": "10",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "e008187",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "BMJ Open",
            "DOI": "10.1136/bmjopen-2015-008187",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "26443650",
            "PMCID": "PMC4606442",
            "ISSN": "2044-6055",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "Accuracy and readability of cardiovascular entries on Wikipedia",
            "language": "eng",
            "libraryCatalog": "PubMed",
            "callNumber": "",
            "rights": "",
            "extra": "",
            "tags": [
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                    "tag": "MEDICAL EDUCATION & TRAINING",
                    "type": 1
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            "dateAdded": "2016-06-16T07:17:45Z",
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            "creatorSummary": "Pfundner et al.",
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            "version": 5,
            "itemType": "journalArticle",
            "title": "Utilizing the Wikidata system to improve the quality of medical content in Wikipedia in diverse languages: a pilot study",
            "creators": [
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                    "creatorType": "author",
                    "firstName": "Alexander",
                    "lastName": "Pfundner"
                },
                {
                    "creatorType": "author",
                    "firstName": "Tobias",
                    "lastName": "Schönberg"
                },
                {
                    "creatorType": "author",
                    "firstName": "John",
                    "lastName": "Horn"
                },
                {
                    "creatorType": "author",
                    "firstName": "Richard D.",
                    "lastName": "Boyce"
                },
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                    "creatorType": "author",
                    "firstName": "Matthias",
                    "lastName": "Samwald"
                }
            ],
            "abstractNote": "BACKGROUND: Wikipedia is an important source of medical information for both patients and medical professionals. Given its wide reach, improving the quality, completeness, and accessibility of medical information on Wikipedia could have a positive impact on global health.\nOBJECTIVE: We created a prototypical implementation of an automated system for keeping drug-drug interaction (DDI) information in Wikipedia up to date with current evidence about clinically significant drug interactions. Our work is based on Wikidata, a novel, graph-based database backend of Wikipedia currently in development.\nMETHODS: We set up an automated process for integrating data from the Office of the National Coordinator for Health Information Technology (ONC) high priority DDI list into Wikidata. We set up exemplary implementations demonstrating how the DDI data we introduced into Wikidata could be displayed in Wikipedia articles in diverse languages. Finally, we conducted a pilot analysis to explore if adding the ONC high priority data would substantially enhance the information currently available on Wikipedia.\nRESULTS: We derived 1150 unique interactions from the ONC high priority list. Integration of the potential DDI data from Wikidata into Wikipedia articles proved to be straightforward and yielded useful results. We found that even though the majority of current English Wikipedia articles about pharmaceuticals contained sections detailing contraindications, only a small fraction of articles explicitly mentioned interaction partners from the ONC high priority list. For 91.30% (1050/1150) of the interaction pairs we tested, none of the 2 articles corresponding to the interacting substances explicitly mentioned the interaction partner. For 7.21% (83/1150) of the pairs, only 1 of the 2 associated Wikipedia articles mentioned the interaction partner; for only 1.48% (17/1150) of the pairs, both articles contained explicit mentions of the interaction partner.\nCONCLUSIONS: Our prototype demonstrated that automated updating of medical content in Wikipedia through Wikidata is a viable option, albeit further refinements and community-wide consensus building are required before integration into public Wikipedia is possible. A long-term endeavor to improve the medical information in Wikipedia through structured data representation and automated workflows might lead to a significant improvement of the quality of medical information in one of the world's most popular Web resources.",
            "publicationTitle": "Journal of Medical Internet Research",
            "publisher": "",
            "place": "",
            "date": "2015",
            "volume": "17",
            "issue": "5",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "e110",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "J. Med. Internet Res.",
            "DOI": "10.2196/jmir.4163",
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            "url": "",
            "accessDate": "",
            "PMID": "25944105",
            "PMCID": "PMC4468594",
            "ISSN": "1438-8871",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "Utilizing the Wikidata system to improve the quality of medical content in Wikipedia in diverse languages",
            "language": "eng",
            "libraryCatalog": "PubMed",
            "callNumber": "",
            "rights": "",
            "extra": "",
            "tags": [
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                    "tag": "Automation",
                    "type": 1
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                    "type": 1
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                    "type": 1
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                    "type": 1
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                    "type": 1
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                    "type": 1
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                    "tag": "Language",
                    "type": 1
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                {
                    "tag": "Pilot Projects",
                    "type": 1
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                {
                    "tag": "Quality Improvement",
                    "type": 1
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                {
                    "tag": "Wikipedia",
                    "type": 1
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                {
                    "tag": "drug information services",
                    "type": 1
                },
                {
                    "tag": "internet",
                    "type": 1
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                    "tag": "medical informatics",
                    "type": 1
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