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The win ratio in cardiology trials: lessons learnt, new developments, and wise future use

Stuart Pocock, John Gregson, Timothy Collier, João Pedro Ferreira, Gregg W. Stone

2024European Heart Journal85 citationsDOIOpen Access PDF

Abstract

The win ratio method for analysing a composite clinical hierarchy of outcomes is growing in popularity especially in cardiovascular trials. This article gives a perspective on its use so far and the issues derived from that experience. Specifically, it focuses on the limitations of a conventional composite outcome; how does the win ratio work, what does it mean, and how to display its findings; guidance on choosing an appropriate clinical hierarchy of outcomes including clinical events, quantitative outcomes, and other options; the additional value of the win difference as a measure of absolute benefit: extension to stratified win ratio, subgroup analysis, matched win ratio, and covariate adjustment; determining trial size for a win ratio outcome; specific insights such as adaptive designs, use of repeat events, and use of margins and time averages for quantitative outcomes; a critique of potential misuses; availability of statistical software; and a statistical appendix on the methodological details. Throughout, each principle is illustrated by examples from specific cardiology trials. The article concludes with a set of recommendations for future use of the win ratio.

Topics & Concepts

MedicineOutcome (game theory)HierarchyClinical trialPopularityConfidence intervalSet (abstract data type)CovariateActuarial scienceStatisticsMedical physicsIntensive care medicineInternal medicineComputer scienceMathematicsMathematical economicsMarket economyProgramming languageBusinessSocial psychologyEconomicsPsychologyStatistical Methods in Clinical TrialsHealth Systems, Economic Evaluations, Quality of LifeAdvanced Causal Inference Techniques
The win ratio in cardiology trials: lessons learnt, new developments, and wise future use | Litcius