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Updated: Jul 28, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Trials using composite outcomes neglect the presence of competing risks: a methodological survey of cardiovascular
Hyunwoo Kim1, Hamad Shahbal2, Sameer Parpia3
1Department of Health Research Methods, Evidence, & Impact, McMaster University, Hamilton, Canada.
Objective:
To determine how frequently competing risks were accounted for in recently published cardiovascular disease (CVD) trials with composite end points.
Study Design And Setting:
We conducted a methodological survey of CVD trials that used composite end points and published from January 1 to September 27, 2021. The following databases were searched: PubMed, Medline, Embase, CINAHL, and Web of Science. Eligible studies were categorized according to whether they mentioned a competing risk analysis plan. If yes, whether a competing risk analysis was proposed as the primary or sensitivity analysis.
Results:
Among the 136 included studies, only 14 (10.3%) conducted a competing risk analysis and reported the corresponding results. Seven (50%) of them conducted a competing risk analysis as their primary analysis, whereas the other seven (50%) as a sensitivity analysis to assess the robustness of their findings. The most commonly used competing risk analysis methods were the subdistribution hazard model (nine studies), followed by the cause-specific hazard model (four studies) and restricted mean time lost method (one study). None of the studies accounted for competing risks in their sample size calculations.
Conclusion:
Our findings underscore the pressing need for and importance of applying appropriate competing risk analysis in this field to disseminate clinically meaningful and unbiased results.
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