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Kaplan-Meier 生存分析、实际生存分析、删失和竞争事件——什么是什么?

Kaplan-Meier Survival, Actuarial Survival, Censoring, and Competing Events-What Is What?

机构信息

Division of Cardiac Surgery, Department of Surgery, Western University, London, Ontario, Canada.

Division of Cardiac Surgery, Department of Surgery, Western University, London, Ontario, Canada.

出版信息

Ann Thorac Surg. 2022 Jul;114(1):40-43. doi: 10.1016/j.athoracsur.2022.03.044. Epub 2022 Mar 31.

Abstract

Survival analyses, most commonly Kaplan-Meier curves, are frequently used in the field of cardiovascular medicine to analyze and graphically illustrate the differences in outcomes between 2 or multiple study groups in randomized controlled trials. Whereas Kaplan-Meier curves provide a nice representation of the survival (or the occurrence of other events of interest) of 1 or several groups of patients, they are commonly misused, especially in the setting of interval censoring, actuarial survival, and competing events. Here, we sought to provide the reader with a simple example that clarifies some of these concepts.

摘要

生存分析,最常用的是 Kaplan-Meier 曲线,常用于心血管医学领域,以分析和直观地说明随机对照试验中 2 个或多个研究组之间结局的差异。Kaplan-Meier 曲线为 1 组或多组患者的生存(或其他感兴趣事件的发生)提供了很好的描述,但它们常被误用,尤其是在区间 censoring、 actuarial survival 和竞争事件的情况下。在这里,我们试图为读者提供一个简单的例子,以澄清其中的一些概念。

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