Literature DB >> 26061680

Precision of healthcare systematic review searches in a cross-sectional sample.

Margaret Sampson1, Jennifer Tetzlaff2, Christine Urquhart3.   

Abstract

BACKGROUND: In systematic reviews, search precision is generally traded off against the desire to retrieve all relevant studies; however, there is no published evidence on typical precision values. The objective of this study is to establish typical values for the precision of systematic review searches in healthcare.
METHODS: From an existing cross-sectional sample of 300 MEDLINE-indexed systematic reviews, those that reported the flow of bibliographic records through the review process (n = 109) were examined. Where the ratio of the number of included studies and the number of unique retrievals could be determined, overall and median precision of the search was calculated. Subgroup analyses were conducted by review type (treatment/prevention, diagnosis/prognosis, epidemiology, other), eligible study designs, number of databases searched and for updates of existing systematic reviews.
RESULTS: Precision could be calculated for 94 systematic reviews. The median [interquartile range] precision was 0.029 [0.013, 0.081] with a range of 0.007-0.358. In this sample, precision did not differ significantly in any of the subgroups examined. IMPLICATIONS: Search precision of approximately 3% was typical in this cross-section of health related systematic reviews. This finding is useful for systematic review teams to gauge review resource needs and for information specialists in evaluating their searches.
Copyright © 2011 John Wiley & Sons, Ltd. Copyright © 2011 John Wiley & Sons, Ltd.

Keywords:  healthcare; precision; searches; systematic reviews; typical values

Year:  2011        PMID: 26061680     DOI: 10.1002/jrsm.42

Source DB:  PubMed          Journal:  Res Synth Methods        ISSN: 1759-2879            Impact factor:   5.273


  17 in total

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Journal:  Transl Pediatr       Date:  2017-01

Review 2.  Optimal literature search for systematic reviews in surgery.

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3.  A Prototype for a Hybrid System to Support Systematic Review Teams: A Case Study of Organ Transplantation.

Authors:  Tanja Bekhuis; Eugene Tseytlin; Kevin J Mitchell
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2015-11

4.  Applying machine classifiers to update searches: Analysis from two case studies.

Authors:  Claire Stansfield; Gillian Stokes; James Thomas
Journal:  Res Synth Methods       Date:  2021-11-25       Impact factor: 9.308

Review 5.  Using text mining for study identification in systematic reviews: a systematic review of current approaches.

Authors:  Alison O'Mara-Eves; James Thomas; John McNaught; Makoto Miwa; Sophia Ananiadou
Journal:  Syst Rev       Date:  2015-01-14

6.  Google Scholar as replacement for systematic literature searches: good relative recall and precision are not enough.

Authors:  Martin Boeker; Werner Vach; Edith Motschall
Journal:  BMC Med Res Methodol       Date:  2013-10-26       Impact factor: 4.615

7.  The comparative recall of Google Scholar versus PubMed in identical searches for biomedical systematic reviews: a review of searches used in systematic reviews.

Authors:  Wichor M Bramer; Dean Giustini; Bianca Mr Kramer; Pf Anderson
Journal:  Syst Rev       Date:  2013-12-23

8.  Are men difficult to find? Identifying male-specific studies in MEDLINE and Embase.

Authors:  Fiona Stewart; Cynthia Fraser; Clare Robertson; Alison Avenell; Daryll Archibald; Flora Douglas; Pat Hoddinott; Edwin van Teijlingen; Dwayne Boyers
Journal:  Syst Rev       Date:  2014-07-18

Review 9.  Methods for conducting systematic reviews of risk factors in low- and middle-income countries.

Authors:  Yulia Shenderovich; Manuel Eisner; Christopher Mikton; Frances Gardner; Jianghong Liu; Joseph Murray
Journal:  BMC Med Res Methodol       Date:  2016-03-15       Impact factor: 4.615

10.  Comparing the coverage, recall, and precision of searches for 120 systematic reviews in Embase, MEDLINE, and Google Scholar: a prospective study.

Authors:  Wichor M Bramer; Dean Giustini; Bianca M R Kramer
Journal:  Syst Rev       Date:  2016-03-01
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