Key result
Interpreting secondary endpoints in trials failing their primary endpoint requires caution due to false-positive risks, but may be prudent to evaluate when event numbers are substantial.
Design
Editorial
Answers are grounded in this paper and cite their sources.
Highlights that clinicians are not strictly bound by regulatory frequentist hierarchical testing and may cautiously draw inferences from secondary endpoints in 'failed' trials if supported by robust event counts and external evidence.
Randomized clinical trials are designed to test the effect of a therapy on the chosen primary endpoint. Beyond the primary endpoint, other clinically important endpoints are also ascertained. To avoid false discovery from testing an unlimited number of endpoints, a hierarchical-testing approach is commonly used where the primary endpoint and order of testing of secondary endpoints are pre-specified. When a trial fails to meet its pre-selected primary endpoint, a frequentist interpretation would consider all remaining endpoints to be inconclusive. Although this approach is commonly used for regulatory purposes, clinicians are not bound by such an approach that downgrades a large body of trial evidence, not based on biological ground-truth, but rather simply based on the subjective pre-trial selection of the primary endpoint and chosen sequence of hierarchical hypothesis testing. Secondary endpoint analyses in a trial that fails to meet its primary endpoint requires caution in interpretation as the risk of false-positive findings cannot be ignored. However, as detailed below, it may be prudent to carefully draw clinical conclusions in select circumstances, when the number of events is considerable, particularly when there is meaningful supportive evidence from other trials.
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Reddy et al. (2026) reported an editorial. Interpreting secondary endpoints in trials failing their primary endpoint requires caution due to false-positive risks, but may be prudent to evaluate when event numbers are substantial.
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