Selection bias in reporting of median waiting times in organ transplantation

Simon Schwab, Andreas Elmer, Daniel Sidler, Lisa Straumann, Ueli Stürzinger, Franz Immer
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Abstract

Median waiting times published by transplant organizations around the world may be biased when death or censoring is disregarded. This leads to too optimistic waiting times, particularly in kidney transplantation, and as a consequence can deceive patients on the waiting list, transplant physicians, and healthcare policy maker. Competing risk multistate models are suited for the analysis of time-to-event data of the organ waiting list. Resulting cumulative incidences are probabilities for transplantation or death by a given time, and are a more accurate description of the events occurring on the waiting list. In accordance with the concept of median survival time in survival analysis in clinical trials, we suggest the median time to transplantation (MTT), the waiting time duration at which the transplant probability is 0.50, as a measure of average waiting time.
器官移植中位等待时间报告中的选择偏差
世界各地的移植组织公布的等待时间中位数如果不考虑死亡或删减因素,可能会有偏差。这会导致等待时间过于乐观,尤其是在肾移植领域,从而欺骗等待名单上的患者、移植医生和医疗政策制定者。竞争风险多态模型适用于分析器官等待名单上的时间到事件数据。由此得出的累积发病率是在给定时间内移植或死亡的概率,能更准确地描述候选名单上发生的事件。根据临床试验生存分析中中位数生存时间的概念,我们建议用中位数移植时间(MTT)来衡量平均等待时间,即移植概率为 0.50 的等待时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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