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临床试验中的目标选择:实践 ICH E9(R1)。

Choosing Estimands in Clinical Trials: Putting the ICH E9(R1) Into Practice.

机构信息

Eli Lilly, Montreal, Quebec, Canada.

Elderbrook Solutions GmbH, High Wycombe, United Kingdom.

出版信息

Ther Innov Regul Sci. 2020 Mar;54(2):324-341. doi: 10.1007/s43441-019-00061-x. Epub 2020 Jan 4.

DOI:10.1007/s43441-019-00061-x
PMID:32072573
Abstract

The National Research Council (NRC) Expert Panel Report on Prevention and Treatment of Missing Data in Clinical Trials highlighted the need for clearly defining objectives and estimands. That report sparked considerable discussion and literature on estimands and how to choose them. Importantly, consideration moved beyond missing data to include all postrandomization events that have implications for estimating quantities of interest (intercurrent events, aka ICEs). The ICH E9(R1) draft addendum builds on that research to outline key principles in choosing estimands for clinical trials, primarily with focus on confirmatory trials. This paper provides additional insights, perspectives, details, and examples to help put ICH E9(R1) into practice. Specific areas of focus include how the perspectives of different stakeholders influence the choice of estimands; the role of randomization and the intention-to-treat principle; defining the causal effects of a clearly defined treatment regimen, along with the implications this has for trial design and the generalizability of conclusions; detailed discussion of strategies for handling ICEs along with their implications and assumptions; estimands for safety objectives, time-to-event endpoints, early-phase and one-arm trials, and quality of life endpoints; and realistic examples of the thought process involved in defining estimands in specific clinical contexts.

摘要

国家研究委员会(NRC)临床试验中预防和处理缺失数据专家小组报告强调了明确界定目标和估计量的必要性。该报告引发了关于估计量以及如何选择它们的大量讨论和文献。重要的是,考虑范围已经超越了缺失数据,包括对估计感兴趣的数量有影响的所有随机化后事件(即并发事件,简称 ICEs)。ICH E9(R1) 草案附录在此基础上进行了扩展,概述了临床试验中选择估计量的关键原则,主要侧重于确证性试验。本文提供了额外的见解、观点、详细信息和示例,以帮助将 ICH E9(R1)付诸实践。重点关注的具体领域包括不同利益相关者的观点如何影响估计量的选择;随机化和意向治疗原则的作用;定义明确治疗方案的因果效应,以及这对试验设计和结论的可推广性的影响;详细讨论处理 ICEs 的策略及其影响和假设;安全性目标、生存时间终点、早期阶段和单臂试验以及生活质量终点的估计量;以及在特定临床背景下定义估计量所涉及的思维过程的实际示例。

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