Su Golder PhD, Kelly Farrah MLIS, Monika Mierzwinski-Urban MLIS, Beth Barker BSc (hons), Anna Rama
{"title":"用于查找Ovid medline和Embase中药物不良反应研究的更新的通用搜索过滤器可以检索高达90%的相关研究","authors":"Su Golder PhD, Kelly Farrah MLIS, Monika Mierzwinski-Urban MLIS, Beth Barker BSc (hons), Anna Rama","doi":"10.1111/hir.12441","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>The most current objectively derived search filters for adverse <i>drug</i> effects are 15 years old and other strategies have not been developed and tested empirically.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>To develop and validate search filters to retrieve evidence on adverse drug effects from Ovid <span>medline</span> and Ovid Embase.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We identified systematic reviews of adverse drug effects in Epistemonikos. From these reviews, we collated their included studies which we then randomly divided into three tests and one validation set of records. We constructed a search strategy to maximise relative recall using word frequency analysis with test set one. This search strategy was then refined using test sets two and three and validated on the final set of records.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Of 107 systematic reviews which met our inclusion criteria, 1948 unique included studies were available from <span>medline</span> and 1980 from Embase.</p>\n \n <p>Generic adverse drug effects searches in <span>medline</span> and Embase achieved 90% and 89% relative recall, respectively. When specific adverse effects terms were added recall was improved.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>We have derived and validated search filters that retrieve around 90% of records with adverse drug effects data in <span>medline</span> and Embase. The addition of specific adverse effects terms is required to achieve higher recall.</p>\n </section>\n </div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2022-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hir.12441","citationCount":"1","resultStr":"{\"title\":\"Updated generic search filters for finding studies of adverse drug effects in Ovid medline and Embase may retrieve up to 90% of relevant studies\",\"authors\":\"Su Golder PhD, Kelly Farrah MLIS, Monika Mierzwinski-Urban MLIS, Beth Barker BSc (hons), Anna Rama\",\"doi\":\"10.1111/hir.12441\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>The most current objectively derived search filters for adverse <i>drug</i> effects are 15 years old and other strategies have not been developed and tested empirically.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>To develop and validate search filters to retrieve evidence on adverse drug effects from Ovid <span>medline</span> and Ovid Embase.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We identified systematic reviews of adverse drug effects in Epistemonikos. From these reviews, we collated their included studies which we then randomly divided into three tests and one validation set of records. We constructed a search strategy to maximise relative recall using word frequency analysis with test set one. This search strategy was then refined using test sets two and three and validated on the final set of records.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Of 107 systematic reviews which met our inclusion criteria, 1948 unique included studies were available from <span>medline</span> and 1980 from Embase.</p>\\n \\n <p>Generic adverse drug effects searches in <span>medline</span> and Embase achieved 90% and 89% relative recall, respectively. When specific adverse effects terms were added recall was improved.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>We have derived and validated search filters that retrieve around 90% of records with adverse drug effects data in <span>medline</span> and Embase. The addition of specific adverse effects terms is required to achieve higher recall.</p>\\n </section>\\n </div>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2022-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hir.12441\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/hir.12441\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/hir.12441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Updated generic search filters for finding studies of adverse drug effects in Ovid medline and Embase may retrieve up to 90% of relevant studies
Background
The most current objectively derived search filters for adverse drug effects are 15 years old and other strategies have not been developed and tested empirically.
Objective
To develop and validate search filters to retrieve evidence on adverse drug effects from Ovid medline and Ovid Embase.
Methods
We identified systematic reviews of adverse drug effects in Epistemonikos. From these reviews, we collated their included studies which we then randomly divided into three tests and one validation set of records. We constructed a search strategy to maximise relative recall using word frequency analysis with test set one. This search strategy was then refined using test sets two and three and validated on the final set of records.
Results
Of 107 systematic reviews which met our inclusion criteria, 1948 unique included studies were available from medline and 1980 from Embase.
Generic adverse drug effects searches in medline and Embase achieved 90% and 89% relative recall, respectively. When specific adverse effects terms were added recall was improved.
Conclusion
We have derived and validated search filters that retrieve around 90% of records with adverse drug effects data in medline and Embase. The addition of specific adverse effects terms is required to achieve higher recall.