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独立数据监测委员会:最新情况与概述

Independent data monitoring committees: an update and overview.

作者信息

Sartor Oliver, Halabi Susan

机构信息

Department of Medicine, Tulane University School of Medicine, New Orleans, LA; Department of Urology, Tulane University School of Medicine, New Orleans, LA.

Department of Biostatistics and Bioinformatics, Duke University, Durham, NC.

出版信息

Urol Oncol. 2015 Mar;33(3):143-8. doi: 10.1016/j.urolonc.2014.12.013. Epub 2015 Jan 24.

Abstract

An independent data monitoring committee׳s (IDMC's) duty is to ensure that the interests of the patients entered in the trial are being well served (i.e., the risk-benefit ratio is appropriate) and that the scientific integrity of the trial is maintained during the interim between trial initiation and trial completion. Industry sponsors form IDMCs to ensure an independent assessment to assure that the study participants are not exposed to unnecessary or unreasonable risks because of their trial participation and to ensure that the study is being conducted according to highest scientific and ethical standards. IDMCs are needed to analyze interim data for large randomized studies, in particular those that involve multiple sites and important clinical end points such as survival or disease progression. Ethical principles mandate that clinical trials begin with uncertainty as to which treatment is better (clinical equipoise). This uncertainty should be maintained during study conduct and analysis unless there are compelling data that emerge during the conduct of the trial. Group sequential statistical designs offer a mechanism to consider terminating a trial early and the results made public if the interim data become sufficiently compelling. Interim monitoring of safety and efficacy data is an integral part of modern clinical trials.

摘要

独立数据监测委员会(IDMC)的职责是确保参与试验的患者的利益得到充分保障(即风险效益比合理),并确保在试验启动至试验完成的中期阶段维持试验的科学完整性。行业赞助商设立IDMC,以确保进行独立评估,保证研究参与者不会因其参与试验而面临不必要或不合理的风险,并确保研究按照最高的科学和伦理标准进行。对于大型随机研究,尤其是那些涉及多个地点以及生存或疾病进展等重要临床终点的研究,需要IDMC来分析中期数据。伦理原则要求临床试验在开始时对于哪种治疗方法更好存在不确定性(临床 equipoise)。除非在试验过程中出现令人信服的数据,否则在研究进行和分析过程中应保持这种不确定性。成组序贯统计设计提供了一种机制,可在中期数据变得足够有说服力时考虑提前终止试验并公布结果。对安全性和有效性数据进行中期监测是现代临床试验不可或缺的一部分。

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