Use of deprescribing search filters in systematic review search strategies: A case study

• Published in: Basic & clinical pharmacology & toxicology Vol. 134; no. 1; pp. 116 - 120
• Main Authors: Morel, Thomas, Heinrich, Clara H., Zerah, Lorène, Hurley, Eoin, Christiaens, Antoine, Fournier, Jean‐Pascal
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01-01-2024; Wiley
• Subjects: Case studies; deprescribing; Embase; Filters; Human health and pathology; Life Sciences; MEDLINE; methodological filters; research methodology; review and systematic search; Search methods; search strategies; Sensitivity; Systematic review; MEDLINE; Embase; search strategies; deprescribing; methodological filters; research methodology; review and systematic search
• ISSN: 1742-7835; 1742-7843
• DOI: 10.1111/bcpt.13908

Two deprescribing search filters for MEDLINE and one deprescribing search filter for Embase have been recently developed, including objectively developed search filters. The objective of this case study was to implement these three deprescribing search filters in systematic review (SR) search strategies and to assess their effect on performances. SR that independently developed original search strategies (OSS) were selected. The deprescribing filters were implemented in each OSS, generating two implemented search strategies (ISS1 and ISS2) in MEDLINE and one ISS (ISS3) in Embase. OSS were re‐run on the same date as ISS. The performances of ISS and OSS were calculated and compared. Two SR were included (SR1 and SR2). For MEDLINE, SR1 included 12 articles. The sensitivity was 50% for OSS, 58% for ISS1 and 42% for ISS2. SR2 included four articles. The sensitivity of OSS, ISS 1 and 2 was 25%. For Embase, SR1 included 12 articles. The sensitivity was 33% for OSS and 58% for ISS3. SR2 included four articles. None of the four included articles were retrieved with OSS or ISS3. While sensitivity of OSS was moderate, the objectively developed deprescribing filters maintained or slightly improved this sensitivity when implementing.