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限制平均生存时间作为时间事件结局的总结衡量指标。

Restricted mean survival time as a summary measure of time-to-event outcome.

机构信息

Biostatistics Center, Shionogi & Co, Ltd, Osaka, Japan.

Clinical Development Strategy Department, Pharmaceutical Development Division, Nippon Kayaku Co, Ltd, Tokyo, Japan.

出版信息

Pharm Stat. 2020 Jul;19(4):436-453. doi: 10.1002/pst.2004. Epub 2020 Feb 18.

Abstract

Many clinical research studies evaluate a time-to-event outcome, illustrate survival functions, and conventionally report estimated hazard ratios to express the magnitude of the treatment effect when comparing between groups. However, it may not be straightforward to interpret the hazard ratio clinically and statistically when the proportional hazards assumption is invalid. In some recent papers published in clinical journals, the use of restricted mean survival time (RMST) or τ-year mean survival time is discussed as one of the alternative summary measures for the time-to-event outcome. The RMST is defined as the expected value of time to event limited to a specific time point corresponding to the area under the survival curve up to the specific time point. This article summarizes the necessary information to conduct statistical analysis using the RMST, including the definition and statistical properties of the RMST, adjusted analysis methods, sample size calculation, information fraction for the RMST difference, and clinical and statistical meaning and interpretation. Additionally, we discuss how to set the specific time point to define the RMST from two main points of view. We also provide developed SAS codes to determine the sample size required to detect an expected RMST difference with appropriate power and reconstruct individual survival data to estimate an RMST reference value from a reported survival curve.

摘要

许多临床研究评估了事件时间结局,绘制了生存函数,并通常报告了估计的风险比,以表示在组间比较时治疗效果的大小。然而,当比例风险假设不成立时,从临床和统计学角度解释风险比可能并不简单。在最近发表在临床期刊上的一些论文中,讨论了使用受限平均生存时间 (RMST) 或 τ 年平均生存时间作为事件时间结局的替代汇总测量指标之一。RMST 定义为截止到特定时间点的事件时间的期望值,对应于生存曲线下面积截止到特定时间点。本文总结了使用 RMST 进行统计分析所需的必要信息,包括 RMST 的定义和统计特性、调整分析方法、样本量计算、RMST 差异的信息量分数以及临床和统计学意义和解释。此外,我们从两个主要角度讨论了如何设置特定时间点来定义 RMST。我们还提供了开发的 SAS 代码,以确定检测预期 RMST 差异所需的样本量,以获得适当的功效,并重建个体生存数据,以从报告的生存曲线估计 RMST 参考值。

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