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Updated: Jun 29, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Progression-free survival estimates are shaped by specific censoring rules: Implications for PFS as an endpoint in
Vadim Lesan1, Timothée Olivier2, Vinay Prasad3
1Hematology and Oncology Department, Saarland University Hospital, Kirrberger Street 100, 66421, Homburg, Germany.
Abstract:
Kaplan-Meier analysis hinges on the assumption that patients who are censored- lost to follow-up, or only recently enrolled on the study- are no different, on average, than patients who are followed. As such, censoring these patients- omitting their future information and taking the average of those who were followed- should not dramatically change the overall estimate. Yet, in a recent clinical trial, two sets of censoring rules- one favored by trialists and one favored by the US Food and Drug Administration- were applied to a progression-free survival (PFS) estimate. In response, the PFS estimate changed dramatically, increasing the median in the experimental arm from 32 to 43 months, while the control arm was essentially unchanged. In this commentary, we explore the reasons why PFS changed so dramatically. We provide a broad overview of censoring in oncology clinical trials, and suggestions to ensure that PFS is a more reliable endpoint.
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