ERcast: Clinical Perspectives Podcast Preview
The summary below is from an episode of ERcast: Clinical Perspectives
Composite endpoints can hide as much as they reveal, and the win ratio is a prime example. This trial-analysis method is increasingly common in cardiology and MACE literature, but its apparent treatment effect can look stronger than the actual probability of benefit.
Win Ratio in Clinical Trials
- Pairwise hierarchical comparisons: Win ratio matches one treated patient to one control patient, then compares them across a prespecified hierarchy such as death, heart failure events, and quality of life until one side records a win.
- Ties dropped from analysis: Pairs with no winner are excluded rather than counted as non-wins, a design choice that can materially inflate the apparent treatment effect when many patients have similar outcomes.
- Outcome ordering problem: The hierarchy is a researcher value judgment, and an early-tier event like death can be outweighed in the final headline by many late-tier wins from less important outcomes. We get into why that framing matters in the episode.
- Short-term versus long-term mixing: Win ratio can combine early symptomatic or biologic changes with later hard outcomes, making a treatment look broadly effective even when the signal is concentrated in short-term or surrogate measures.
- Seductive headline numbers: A reported win ratio of 1.36 can be misread as a 36% greater chance of benefit, when the actual win probability may be much closer to a single-digit absolute advantage.
- Retrospective use caution: The method is most defensible when the hierarchy is prospectively designed; retrospective win-ratio analyses are especially vulnerable to cherry-picked components and overstated conclusions.
Misleading Trial Examples
- EMPULSE effect inflation: In EMPULSE, the published win ratio favored empagliflozin at 1.36, but the estimated win probability was only 58%, showing how the ratio can overstate the clinical impression.
- Ignored ties magnify benefit: When ties were treated as absences of wins rather than discarded, the apparent EMPULSE advantage dropped further to about 54%, underscoring how much the denominator matters.
- PARAGLIDE surrogate dominance: In PARAGLIDE, the headline advantage for sacubitril-valsartan was driven largely by natriuretic peptide changes, with roughly 36% of pairwise comparisons ending in ties.
- TRILUMINATE patient-reported skew: TRILUMINATE reported a win ratio of 1.48 favoring TEER, but much of that signal came from KCCQ improvement while heart failure hospitalizations actually leaned the other direction.
- Bottom-line appraisal: Win ratio is a potentially useful tool, but when lower-tier surrogate or symptom outcomes drive the wins, the final result may look more convincing than the long-term clinical benefit really is. That distinction is worth hearing in the chapter.
Subscribe to ERcast: Clinical Perspectives to listen to the episode.
Faculty
- Drew Kalnow, DO
Dr. Drew Kalnow is an emergency medicine physician and educator based in Columbus, Ohio. He completed his emergency medicine training at OhioHealth Doctors Hospital Emergency Medicine Residency. Dr. Kalnow is passionate about advancing emergency medicine through high-quality education, with a particular focus on simulation, learning theory, and innovative teaching.
- Cameron Berg, MD
Based in Minneapolis, MN, Dr. Berg focuses on simplifying complex patient care processes, such as chest pain, syncope, and heart failure treatment. Since 2020, he has also been navigating his own recovery from a TBI after a bicycle accident. When he isn't in the clinic, Cameron is usually busy keeping his three young children alive and happy.