Retrieving randomized controlled trials from medline: a comparison of 38 published search filters

Background:  People search medline for trials of healthcare interventions for clinical decisions, or to produce systematic reviews, practice guidelines, or technology assessments. Finding all relevant randomized controlled trials (RCTs) with little extraneous material is challenging. Objective:  To...

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Veröffentlicht in:Health information and libraries journal Jg. 26; H. 3; S. 187 - 202
Hauptverfasser: McKibbon, Kathleen Ann, Wilczynski, Nancy Lou, Haynes, Robert Brian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford, UK Blackwell Publishing Ltd 01.09.2009
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ISSN:1471-1834, 1471-1842
Online-Zugang:Volltext
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Zusammenfassung:Background:  People search medline for trials of healthcare interventions for clinical decisions, or to produce systematic reviews, practice guidelines, or technology assessments. Finding all relevant randomized controlled trials (RCTs) with little extraneous material is challenging. Objective:  To provide comparative data on the operating characteristics of search filters designed to retrieve RCTs from medline. Methods:  We identified 38 filters. The testing database comprises handsearching data from 161 clinical journals indexed in medline. Sensitivity, specificity and precision were calculated. Results:  The number of terms and operating characteristics varied considerably. Comparing the retrieval against the single term ‘randomized controlled trials.pt.’ (sensitivity for retrieving RCTs, 93.7%), 24 of 38 filters had statistically higher sensitivity; 6 had a sensitivity of at least 99.0%. Four other filters had specificities (non retrieval of non‐RCTs) that were statistically not different or better than the single term (97.6%). Precision was poor: only two filters had precision (proportion of retrieved articles that were RCTs) statistically similar to that of the single term (56.4%)—all others were lower. Filters with more search terms often had lower specificity, especially at high sensitivities. Conclusion:  Many RCT filters exist (n = 38). These comparative data can direct the choice of an RCT filter.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1471-1834
1471-1842
DOI:10.1111/j.1471-1842.2008.00827.x