HUNTING FOR RANDOMISED CONTROLLED TRIALS (RCTS)- A COMPARISON OF SEARCH FILTERS DESIGNED TO IDENTIFY RCTS

Author(s)

Steeves S1, Buchanan-Hughes AM2, Evans J1, Leonard S1
1Costello Medical Consulting Ltd, Cambridge, UK, 2Costello Medical Consulting Ltd., Cambridge, UK

OBJECTIVES: There are a number of search filters designed to identify studies with particular study designs in electronic databases. This study compared three filters for identifying randomised controlled trials (RCTs). METHODS: Searches were conducted on 15thJune 2015 in the Ovid MEDLINE and MEDLINE In-process databases using The Cochrane Highly Sensitive Search Strategy for Identifying Randomized Trials in MEDLINE, the SIGN Randomised Controlled Trials MEDLINE filter and the BMJ MEDLINE Randomised Controlled Trial Strategy. Differences were explored by reviewing samples of records uniquely identified by each filter. For comparison, a sample of articles returned by all three filters was also reviewed. To estimate the sensitivity of each filter, the detection of 39 publications of RCTs included in a randomly-selected Cochrane Collaboration systematic literature review (SLR) was tested. RESULTS: CONCLUSIONS: All filters failed to identify at least some RCTs, SLRs or meta-analyses of RCTs. Differences between filters, including the publications uniquely identified by each, should be considered when selecting filters for use in literature reviews.

Conference/Value in Health Info

2015-11, ISPOR Europe 2015, Milan, Italy

Value in Health, Vol. 18, No. 7 (November 2015)

Code

PRM55

Topic

Real World Data & Information Systems

Topic Subcategory

Reproducibility & Replicability

Disease

Multiple Diseases

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