Searching two or more databases decreased the risk of missing relevant studies: a metaresearch study.

Database coverage Literature search Rapid review Recall Search strategy Systematic review

Journal

Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383

Informations de publication

Date de publication:
09 2022
Historique:
received: 18 02 2022
revised: 04 05 2022
accepted: 25 05 2022
pubmed: 3 6 2022
medline: 16 11 2022
entrez: 2 6 2022
Statut: ppublish

Résumé

Assessing changes in coverage, recall, review, conclusions and references not found when searching fewer databases. In randomly selected 60 Cochrane reviews, we checked included study publications' coverage (indexation) and recall (findability) using different search approaches with MEDLINE, Embase, and CENTRAL and related them to authors' conclusions and certainty. We assessed characteristics of unfound references. Overall 1989/2080 included references, were indexed in ≥1 database (coverage = 96%). In reviews where using one of our search approaches would not change conclusions and certainty (n = 44-54), median coverage and recall were highest (range 87.9%-100.0% and 78.2%-93.3%, respectively). Here, searching ≥2 databases reached >95% coverage and ≥87.9% recall. In reviews with unchanged conclusions but less certainty (n = 2-8): 63.3%-79.3% coverage and 45.0%-75.0% recall. In reviews with opposite conclusions (n = 1-3): 63.3%-96.6% and 52.1%-78.7%. In reviews where a conclusion was no longer possible (n = 3-7): 60.6%-86.0% and 20.0%-53.8%. The 265 references that were indexed but unfound were more often abstractless (30% vs. 11%) and older (28% vs. 17% published before 1991) than found references. Searching ≥2 databases improves coverage and recall and decreases the risk of missing eligible studies. If researchers suspect that relevant articles are difficult to find, supplementary search methods should be used.

Sections du résumé

BACKGROUND AND OBJECTIVES
Assessing changes in coverage, recall, review, conclusions and references not found when searching fewer databases.
METHODS
In randomly selected 60 Cochrane reviews, we checked included study publications' coverage (indexation) and recall (findability) using different search approaches with MEDLINE, Embase, and CENTRAL and related them to authors' conclusions and certainty. We assessed characteristics of unfound references.
RESULTS
Overall 1989/2080 included references, were indexed in ≥1 database (coverage = 96%). In reviews where using one of our search approaches would not change conclusions and certainty (n = 44-54), median coverage and recall were highest (range 87.9%-100.0% and 78.2%-93.3%, respectively). Here, searching ≥2 databases reached >95% coverage and ≥87.9% recall. In reviews with unchanged conclusions but less certainty (n = 2-8): 63.3%-79.3% coverage and 45.0%-75.0% recall. In reviews with opposite conclusions (n = 1-3): 63.3%-96.6% and 52.1%-78.7%. In reviews where a conclusion was no longer possible (n = 3-7): 60.6%-86.0% and 20.0%-53.8%. The 265 references that were indexed but unfound were more often abstractless (30% vs. 11%) and older (28% vs. 17% published before 1991) than found references.
CONCLUSION
Searching ≥2 databases improves coverage and recall and decreases the risk of missing eligible studies. If researchers suspect that relevant articles are difficult to find, supplementary search methods should be used.

Identifiants

pubmed: 35654269
pii: S0895-4356(22)00144-5
doi: 10.1016/j.jclinepi.2022.05.022
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

154-164

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Hannah Ewald (H)

University Medical Library, University of Basel, Basel, Switzerland; Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland. Electronic address: Hannah.Ewald@unibas.ch.

Irma Klerings (I)

Cochrane Austria, Danube University Krems, Krems a.d. Donau, Austria.

Gernot Wagner (G)

Cochrane Austria, Danube University Krems, Krems a.d. Donau, Austria.

Thomas L Heise (TL)

Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany; Institute for Public Health and Nursing Research - IPP, Health Sciences Bremen, University of Bremen, Bremen, Germany.

Jan M Stratil (JM)

Institute for Medical Informatics, Biometry and Epidemiology, Pettenkofer School of Public Health, LMU Munich, Munich, Germany.

Stefan K Lhachimi (SK)

Institute for Public Health and Nursing Research - IPP, Health Sciences Bremen, University of Bremen, Bremen, Germany; Department of Health, Nursing, Management, University of Applied Sciences Neubrandenburg, 17033, Neubrandenburg, Germany.

Lars G Hemkens (LG)

Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA; Meta-Research Innovation Center Berlin (METRIC-B), Berlin Institute of Health, Berlin, Germany.

Gerald Gartlehner (G)

Cochrane Austria, Danube University Krems, Krems a.d. Donau, Austria; RTI International, Research Triangle Park, NC, USA.

Susan Armijo-Olivo (S)

University of Applied Sciences Osnabrück, Faculty of Economics and Social Sciences - Osnabrück, Germany; Faculties of Rehabilitation Medicine and Medicine and Dentistry, University of Alberta, Edmonton, Canada.

Barbara Nussbaumer-Streit (B)

Cochrane Austria, Danube University Krems, Krems a.d. Donau, Austria.

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Classifications MeSH