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Article

Computational Phenomapping of Randomized Clinical Trial Participants to Enable Assessment of Their Real-World Representativeness and Personalized Inference.

Circulation. Cardiovascular quality and outcomes - 1 May 2025

Thangaraj Phyllis M, Oikonomou Evangelos K, Dhingra Lovedeep S, Aminorroaya Arya, Jayaram Rahul H, Suchard Marc A, Khera Rohan

Abstract excerpt

BACKGROUND: Assessing the generalizability of randomized clinical trials (RCTs) to real-world patients remains challenging. We propose a multidimensional metric to quantify the representativeness of an RCT cohort in an electronic health record (EHR) population and estimate real-world effects based on individualized treatment effects observed in the RCT. METHODS: We identified 65 clinical prerandomization...

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Identifiers

PMID: 40261065
DOI: 10.1161/CIRCOUTCOMES.124.011306
PMCID: PMC12203226

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