2019
DOI: 10.1016/j.jacc.2019.08.1034
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Nonproportional Hazards for Time-to-Event Outcomes in Clinical Trials

Abstract: We thank Daniel Jackson and Jonathan Wessen for their helpful comments on the article.

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Cited by 64 publications
(52 citation statements)
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“…One of the strengths of this study is the use of the RMST to compare survival times in different subsets of patients who underwent or did not undergo TAVR. The RMST analysis yields results that are not only more intuitive to interpret, but are also more accurate for scenarios in which the hazard of an event changes over time [5,19]. Cox proportional hazards analysis assumes that the hazard of an event is constant over the entire follow-up period, while logistic regression analysis assumes that the follow-up time period is constant and fixed for all patients; neither of which would have been ideal in this patient population.…”
Section: Discussionmentioning
confidence: 99%
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“…One of the strengths of this study is the use of the RMST to compare survival times in different subsets of patients who underwent or did not undergo TAVR. The RMST analysis yields results that are not only more intuitive to interpret, but are also more accurate for scenarios in which the hazard of an event changes over time [5,19]. Cox proportional hazards analysis assumes that the hazard of an event is constant over the entire follow-up period, while logistic regression analysis assumes that the follow-up time period is constant and fixed for all patients; neither of which would have been ideal in this patient population.…”
Section: Discussionmentioning
confidence: 99%
“…The RMST indicates the average survival time over a pre-specified time frame, reflecting the differences in areas under Kaplan-Meier curves for patient groups. The RMST is not dependent on the proportional hazards assumption, and it reflects the entire time frame rather than instantaneous time points [5]. In the no TAVR group, 1-year survival was compared between subgroups of pre-defined reasons for not proceeding with TAVR.…”
Section: Statistical Approachmentioning
confidence: 99%
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“…Restricted mean survival time (RMST) was used to measure the average survival time from randomisation to any follow up time point. 13,14 Restricted mean survival time was chosen to model the data because the survival curves of the ramipril and placebo groups crossed over during follow up and the hazard ratio was time dependent. A superficial interpretation is that after a while, ramipril may start to become hazardous.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…In such cases, when a diminishing effect of the exposure on the endpoint is observed, restricted mean survival time is a more appropriate method to report the association, both from a clinician and a statistician perspective. 7 Third, when analyzing the prognostic value of a clinical variable, one must pay careful attention to the underlying population's characteristics to understand how the findings can be applied to external populations. In the current study, it is important to emphasize that the cohort presumably did not include consecutive patients because it is unlikely that 92.0% of the coronary angiograms performed during the study period were based on an ACS diagnosis in the enrolling centres.…”
mentioning
confidence: 99%