Database selection in systematic reviews: an insight through clinical neurology. (6th April 2017)

• Record Type: Journal Article
• Authors: Vassar, Matt; Yerokhin, Vadim; Sinnett, Philip Marcus; Weiher, Matthew; Muckelrath, Halie; Carr, Branden; Varney, Laura; Cook, Gregory
• Is Part Of: Health information and libraries journal. Volume 34:Number 2(2017:Jun.)
• Page Start: 156
• Page End: 164
• Publication Date: 2017-04-06
• Subjects: bibliometrics -- database searching -- evidence‐based medicine -- libraries -- health care -- review and systematic search; Medical libraries -- Periodicals; Public health libraries -- Periodicals; Life sciences libraries -- Periodicals; Medical libraries -- Great Britain -- Periodicals; Public health libraries -- Great Britain -- Periodicals; Information science -- Periodicals; 026.61094105
• DOI: 10.1111/hir.12176
• Languages: English
• ISSNs: 1471-1834

Abstract

Abstract: Background: Failure to perform a comprehensive search when designing a systematic review (SR) can lead to bias, reducing the validity of review's conclusions. Objective: We examined the frequency and choice of databases used by reviewers in clinical neurology. Methods: Ninety‐five SRs and/or meta‐analyses were located across five prominent neurology journals between 2008 and 2014. Methods sections were reviewed, and all bibliographic databases were coded. Results: On average, 2.59 databases were used in SR searches. Seven reviews included an information specialist, and these reviews reported a greater number of information sources used during the search process. Thirty‐nine databases were reported across studies. PubMed/MEDLINE ® and EMBASE were cited most frequently. Discussion: Searching too few databases may reduce the validity and generalisability of SR results. We found that the majority of systematic reviewers in clinical neurology do not search an adequate number of databases, which may yield a biased sample of primary studies and, thus, may influence the accuracy of summary effects. Conclusions: Systematic reviewers should aim to search a sufficient number of databases to minimise selection bias. Additionally, systematic reviewers should include information specialists in designing SR methodology, as this may improve systematic review quality.