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Cochrane Centralised Search Service showed high sensitivity identifying randomized controlled trials: A retrospective
A H Noel-Storr1, G Dooley2, S Wisniewski3
1Radcliffe Department of Medicine, Cochrane Dementia and Cognitive Improvement Group, Oxford University, Oxford, UK.
Cochrane
Area of Science:
- Bibliometrics and Information Science
- Clinical Trial Registration and Reporting
- Systematic Review Methodology
Background:
- The Cochrane Central Register of Controlled Trials (CENTRAL) aggregates data from sources like PubMed and Embase.
- Since 2017, CENTRAL has expanded its data sources and improved efficiency using APIs, machine learning, and crowdsourcing.
Purpose of the Study:
- To evaluate the effectiveness of Cochrane's centralized search and screening in identifying eligible randomized controlled trials (RCTs).
- To identify areas for enhancement in the centralized processes for detecting eligible RCT references.
Main Methods:
- Identified RCT references (published articles or registrations) from 2017-2018 included in Cochrane intervention reviews.
- Audited each reference to determine if it was captured by the centralized search process and added to CENTRAL.
Main Results:
- 97.5% (634/650) of eligible RCT references from 2017-2018 were captured by Cochrane's Centralised Search Service (CSS).
- Sixteen references were missed due to various reasons including database indexing, classification errors, and automated classifier rejections.
- Eight of the missed references were the primary or sole publication for their respective trials.
Conclusions:
- Cochrane's centralized search and screening processes demonstrate high sensitivity in identifying eligible RCTs.
- The CSS is crucial for populating CENTRAL, enhancing its comprehensiveness as an RCT repository.
- Understanding missed references provides insights for further process optimization.
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