A composite patient-trial generalizability score derived from trial eligibility criteria predicts fewer serious adverse events among real-world colorectal cancer patients who more closely match the trial population.
Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials
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Assessing the Validity of a a priori Patient-Trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial Case Study
A composite patient-trial generalizability score derived from trial eligibility criteria predicts fewer serious adverse events among real-world colorectal cancer patients who more closely match the trial population.