Optimal search strategies for retrieving systematic reviews from Medline: analytical survey

Abstract Objective: To develop optimal search strategies in Medline for retrieving systematic reviews. Design: Analytical survey. Data sources: 161 journals published in 2000 indexed in Medline. Main outcome measures: The sensitivity, specificity, and precision of retrieval of systematic reviews of...

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Published inBMJ Vol. 330; no. 7482; pp. 68 - 71
Main Authors Montori, Victor M, Wilczynski, Nancy L, Morgan, Douglas, Haynes, R Brian
Format Journal Article
LanguageEnglish
Published London British Medical Journal Publishing Group 08.01.2005
British Medical Association
BMJ Publishing Group LTD
BMJ Publishing Group
BMJ Publishing Group Ltd
EditionInternational edition
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Online AccessGet full text
ISSN0959-8138
0959-8146
1756-1833
1468-5833
1756-1833
DOI10.1136/bmj.38336.804167.47

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Summary:Abstract Objective: To develop optimal search strategies in Medline for retrieving systematic reviews. Design: Analytical survey. Data sources: 161 journals published in 2000 indexed in Medline. Main outcome measures: The sensitivity, specificity, and precision of retrieval of systematic reviews of 4862 unique terms in 782 485 combinations of one to five terms were determined by comparison with a hand search of all articles (the criterion standard) in 161 journals published during 2000 (49 028 articles). Results: Only 753 (1.5%) of the 49 028 articles were systematic reviews. The most sensitive strategy included five terms and had a sensitivity of 99.9% (95% confidence interval 99.6% to 100%) and a specificity of 52% (51.6% to 52.5%). The strategy that best minimised the difference between sensitivity and specificity had a sensitivity of 98% (97% to 99%) and specificity of 90.8% (90.5% to 91.1%). Highest precision for multiterm strategies, 57% (54% to 60%), was achieved at a sensitivity of 71% (68% to 74%). The term “cochrane database of systematic reviews.jn.” was the most precise single term search strategy (sensitivity of 56% (52% to 60%) and precision of 96% (94% to 98%)). These strategies are available through the “limit” screen of Ovid's search interface for Medline. Conclusions: Systematic reviews can be retrieved from Medline with close to perfect sensitivity or specificity, or with high precision, by using empirical search strategies.
Bibliography:href:bmj-330-68.pdf
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ArticleID:bmj.38336.804167.47
Correspondence to: R B Haynes, Department of Clinical Epidemiology and Biostatistics, Room 2C10B Health Sciences Center, McMaster University Faculty of Health Sciences, 1200 Main Street West, Hamilton, ON, Canada L8N 3J5
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PMID:15619601
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Correspondence to: R B Haynes, Department of Clinical Epidemiology and Biostatistics, Room 2C10B Health Sciences Center, McMaster University Faculty of Health Sciences, 1200 Main Street West, Hamilton, ON, Canada L8N 3J5 bhaynes@mcmaster.ca
Contributors: VMM designed the protocol, analysed and interpreted the data, and drafted this report. NLW supervised the research staff and data collection. DM programmed the dataset and analysed the data. RBH planned the study, designed the protocol, and interpreted the data; he will act as guarantor. Members of the Hedges Team collected the data.
A table showing PubMed translations of the Ovid search strategies is on bmj.com
Funding: This research was funded by the National Library of Medicine, USA (grant No 1 RO1 LM06866). VMM is a Mayo Foundation Scholar. These funding sources had no additional role.
The Hedges Team includes Angela Eady, Brian Haynes, Susan Marks, Ann McKibbon, Doug Morgan, Cindy Walker-Dilks, Stephen Walter, Stephen Were, Nancy Wilczynski, and Sharon Wong, all at McMaster University Faculty of Health Sciences.
Competing interests: None declared.
ISSN:0959-8138
0959-8146
1756-1833
1468-5833
1756-1833
DOI:10.1136/bmj.38336.804167.47