{"title":"在Medline和Embase中检索药物停用文章的搜索过滤器的开发和验证。","authors":"Thomas Morel MD, MSc, Jérôme Nguyen-Soenen MD, MSc, Wade Thompson PharmD, PhD, Jean-Pascal Fournier MD, PhD","doi":"10.1111/hir.12516","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Medication discontinuation studies explore the outcomes of stopping a medication compared to continuing it. Comprehensively identifying medication discontinuation articles in bibliographic databases remains challenging due to variability in terminology.</p>\n </section>\n \n <section>\n \n <h3> Objectives</h3>\n \n <p>To develop and validate search filters to retrieve medication discontinuation articles in Medline and Embase.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We identified medication discontinuation articles in a convenience sample of systematic reviews. We used primary articles to create two reference sets for Medline and Embase, respectively. The reference sets were equally divided by randomization in development sets and validation sets. Terms relevant for discontinuation were identified by term frequency analysis in development sets and combined to develop two search filters that maximized relative recalls. The filters were validated against validation sets. Relative recalls were calculated with their 95% confidences intervals (95% CI).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>We included 316 articles for Medline and 407 articles for Embase, from 15 systematic reviews. The Medline optimized search filter combined 7 terms. The Embase optimized search filter combined 8 terms. The relative recalls were respectively 92% (95% CI: 87–96) and 91% (95% CI: 86–94).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>We developed two search filters for retrieving medication discontinuation articles in Medline and Embase. Further research is needed to estimate precision and specificity of the filters.</p>\n </section>\n </div>","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hir.12516","citationCount":"0","resultStr":"{\"title\":\"Development and validation of search filters to retrieve medication discontinuation articles in Medline and Embase\",\"authors\":\"Thomas Morel MD, MSc, Jérôme Nguyen-Soenen MD, MSc, Wade Thompson PharmD, PhD, Jean-Pascal Fournier MD, PhD\",\"doi\":\"10.1111/hir.12516\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Medication discontinuation studies explore the outcomes of stopping a medication compared to continuing it. Comprehensively identifying medication discontinuation articles in bibliographic databases remains challenging due to variability in terminology.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>To develop and validate search filters to retrieve medication discontinuation articles in Medline and Embase.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We identified medication discontinuation articles in a convenience sample of systematic reviews. We used primary articles to create two reference sets for Medline and Embase, respectively. The reference sets were equally divided by randomization in development sets and validation sets. Terms relevant for discontinuation were identified by term frequency analysis in development sets and combined to develop two search filters that maximized relative recalls. The filters were validated against validation sets. Relative recalls were calculated with their 95% confidences intervals (95% CI).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>We included 316 articles for Medline and 407 articles for Embase, from 15 systematic reviews. The Medline optimized search filter combined 7 terms. The Embase optimized search filter combined 8 terms. The relative recalls were respectively 92% (95% CI: 87–96) and 91% (95% CI: 86–94).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>We developed two search filters for retrieving medication discontinuation articles in Medline and Embase. Further research is needed to estimate precision and specificity of the filters.</p>\\n </section>\\n </div>\",\"PeriodicalId\":47580,\"journal\":{\"name\":\"Health Information and Libraries Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hir.12516\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Information and Libraries Journal\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/hir.12516\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Information and Libraries Journal","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/hir.12516","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Development and validation of search filters to retrieve medication discontinuation articles in Medline and Embase
Background
Medication discontinuation studies explore the outcomes of stopping a medication compared to continuing it. Comprehensively identifying medication discontinuation articles in bibliographic databases remains challenging due to variability in terminology.
Objectives
To develop and validate search filters to retrieve medication discontinuation articles in Medline and Embase.
Methods
We identified medication discontinuation articles in a convenience sample of systematic reviews. We used primary articles to create two reference sets for Medline and Embase, respectively. The reference sets were equally divided by randomization in development sets and validation sets. Terms relevant for discontinuation were identified by term frequency analysis in development sets and combined to develop two search filters that maximized relative recalls. The filters were validated against validation sets. Relative recalls were calculated with their 95% confidences intervals (95% CI).
Results
We included 316 articles for Medline and 407 articles for Embase, from 15 systematic reviews. The Medline optimized search filter combined 7 terms. The Embase optimized search filter combined 8 terms. The relative recalls were respectively 92% (95% CI: 87–96) and 91% (95% CI: 86–94).
Conclusions
We developed two search filters for retrieving medication discontinuation articles in Medline and Embase. Further research is needed to estimate precision and specificity of the filters.
期刊介绍：
Health Information and Libraries Journal (HILJ) provides practitioners, researchers, and students in library and health professions an international and interdisciplinary forum. Its objectives are to encourage discussion and to disseminate developments at the frontiers of information management and libraries. A major focus is communicating practices that are evidence based both in managing information and in supporting health care. The Journal encompasses: - Identifying health information needs and uses - Managing programmes and services in the changing health environment - Information technology and applications in health - Educating and training health information professionals - Outreach to health user groups
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