Universität zu Köln

Waffenschmidt, Siw ORCID: 0000-0001-6860-6699, Navarro-Ruan, Tamara, Hobson, Nick, Hausner, Elke, Sauerland, Stefan and Haynes, R. Brian (2020). Development and validation of study filters for identifying controlled non-randomized studies inPubMedand OvidMEDLINE. Res. Synth. Methods, 11 (5). S. 617 - 627. HOBOKEN: WILEY. ISSN 1759-2887

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Abstract

A retrospective analysis published by the German Institute for Quality and Efficiency in Health Care (IQWiG) in 2018 concluded that no filter for non-randomized studies (NRS) achieved sufficient sensitivity (>= 92%), a precondition for comprehensive information retrieval. New NRS filters are therefore required, taking into account the challenges related to this study type. Our evaluation focused on the development of study filters for NRS with a control group (controlled NRS), as this study type allows the calculation of an effect size. In addition, we assumed that due to the more explicit search syntax, controlled NRS are easier to identify than non-controlled ones, potentially resulting in better performance measures of study filters for controlled NRS. Our aim was to develop study filters for identifying controlled NRS in PubMed and Ovid MEDLINE. We developed two new search filters that can assist clinicians and researchers in identifying controlled NRS in PubMed and Ovid MEDLINE. The reference set was based on 2110 publications in Medline extracted from 271 Cochrane reviews and on 4333 irrelevant references. The first filter maximizes sensitivity (92.42%; specificity 79.67%, precision 68.49%) and should be used when a comprehensive search is needed. The second filter maximizes specificity (92.06%; precision 82.98%, sensitivity 80.94%) and should be used when a more focused search is sufficient.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Waffenschmidt, Siw UNSPECIFIED orcid.org/0000-0001-6860-6699 UNSPECIFIED Navarro-Ruan, Tamara UNSPECIFIED UNSPECIFIED UNSPECIFIED Hobson, Nick UNSPECIFIED UNSPECIFIED UNSPECIFIED Hausner, Elke UNSPECIFIED UNSPECIFIED UNSPECIFIED Sauerland, Stefan UNSPECIFIED UNSPECIFIED UNSPECIFIED Haynes, R. Brian UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-329184
DOI:	10.1002/jrsm.1425
Journal or Publication Title:	Res. Synth. Methods
Volume:	11
Number:	5
Page Range:	S. 617 - 627
Date:	2020
Publisher:	WILEY
Place of Publication:	HOBOKEN
ISSN:	1759-2887
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language OPTIMAL SEARCH STRATEGIES; SYSTEMATIC REVIEWS; QUALITY; MEDLINE; DESIGNS; TOOL Multiple languages Mathematical & Computational Biology; Multidisciplinary Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/32918