Automated Generation of Core Outcome Measures for Clinical Trials

Common outcome sets are vital for ensuring usability of clinical trial results and enabling inter-study comparisons. The task of identifying clinical outcomes for a particular field is cumbersome and time-consuming. The aim of this work was to develop an automated pipeline for identifying common outcomes by analyzing outcomes from relevant trials reported at ClinicalTrials.gov and to assess the pipeline accuracy. We validated the output of our pipeline by comparing the outcomes it identified for acute coronary syndromes and coronary artery disease with the set of outcomes recommended for these conditions by a panel of experts in a widely cited report. We found that our pipeline identified the same or similar outcomes for 100% of the outcomes recommended in the experts' report. The coverage of the pipeline's results dropped only slightly (to 21 out of 23 outcome domains, 91%) when we restricted the pipeline to trials posted before the publication of the report, indicating a great potential for this pipeline to be used in aiding and informing the future development of core outcome measures in clinical trials.

Contributors

Elghafari A., Finkelstein J.

Publication

Journal: Studies in Health Technology and Informatics
Volume: 284
Issue:
Pages: 505 - 509
Year: 2021
DOI: 10.3233/SHTI210784

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Current Stage: Completed
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Study Type

- COS methods research

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