Calculating the number needed to treat for trials where the outcome is time to an event

Calculating the number needed to treat for trials where the outcome is time to an event
复制标题

DOI:
10.1136/bmj.319.7223.1492
复制
发表时间:
1999-12-04
影响因子:
--
通讯作者:
Andersen, PK
Andersen, PK
中科院分区:
医学1区
文献类型:
--
作者:
Altman, DG;Andersen, PK

文献摘要

被引文献

相似文献

需要接受治疗以预防一个额外事件的患者数量(需要治疗的数量;NNT)已成为从具有双重结果的随机对照试验结果中获得的治疗益处的广泛使用的衡量标准。1 2我们展示了如何在主要结果是事件发生的时间的研究中获得治疗所需的数值。我们主要考虑无法访问原始数据的情况,例如,在审查已发表的研究时,以及在给定原始数据时如何继续进行。
The number of patients who need to be treated to prevent one additional event (number needed to treat; NNT) has become a widely used measure of treatment benefit derived from the results of randomised controlled trials with a binary outcome. 1 2 We show how to obtain a number needed to treat for studies where the primary outcome is the time to an event. We consider primarily the situation where there is no access to raw data, for example, when reviewing a published study, and also how to proceed when given the raw data.