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临床试验中的估计量——拓宽视角。

Estimands in clinical trials - broadening the perspective.

作者信息

Akacha Mouna, Bretz Frank, Ruberg Stephen

机构信息

Novartis Pharma AG, Basel, Switzerland.

Eli Lilly and Company, Indianapolis, U.S.A.

出版信息

Stat Med. 2017 Jan 15;36(1):5-19. doi: 10.1002/sim.7033. Epub 2016 Jul 19.

Abstract

Defining the scientific questions of interest in a clinical trial is crucial to align its planning, design, conduct, analysis, and interpretation. However, practical experience shows that oftentimes specific choices in the statistical analysis blur the scientific question either in part or even completely, resulting in misalignment between trial objectives, conduct, analysis, and confusion in interpretation. The need for more clarity was highlighted by the Steering Committee of the International Council for Harmonization (ICH) in 2014, which endorsed a Concept Paper with the goal of developing a new regulatory guidance, suggested to be an addendum to ICH guideline E9. Triggered by these developments, we elaborate in this paper what the relevant questions in drug development are and how they fit with the current practice of intention-to-treat analyses. To this end, we consider the perspectives of patients, physicians, regulators, and payers. We argue that despite the different backgrounds and motivations of the various stakeholders, they all have similar interests in what the clinical trial estimands should be. Broadly, these can be classified into estimands addressing (a) lack of adherence to treatment due to different reasons and (b) efficacy and safety profiles when patients, in fact, are able to adhere to the treatment for its intended duration. We conclude that disentangling adherence to treatment and the efficacy and safety of treatment in patients that adhere leads to a transparent and clinical meaningful assessment of treatment risks and benefits. We touch upon statistical considerations and offer a discussion of additional implications. Copyright © 2016 John Wiley & Sons, Ltd.

摘要

明确临床试验中感兴趣的科学问题对于使其规划、设计、实施、分析和解读保持一致至关重要。然而,实践经验表明,统计分析中的特定选择常常会部分甚至完全模糊科学问题,导致试验目标、实施、分析之间出现不一致,以及解读混乱。国际协调理事会(ICH)指导委员会在2014年强调了提高清晰度的必要性,该委员会批准了一份概念文件,目标是制定一项新的监管指南,建议作为ICH指南E9的附录。受这些进展的推动,我们在本文中详细阐述了药物研发中的相关问题以及它们如何与当前的意向性分析实践相契合。为此,我们考虑了患者、医生、监管机构和支付方的观点。我们认为,尽管各利益相关方背景和动机不同,但他们对于临床试验估计值应该是什么有着相似的兴趣。大致而言,这些估计值可分为两类,一类是针对因不同原因导致的治疗依从性不足,另一类是针对患者实际上能够按照预期疗程坚持治疗时的疗效和安全性概况。我们得出结论,区分治疗依从性以及坚持治疗的患者的治疗疗效和安全性,能够对治疗风险和益处进行透明且具有临床意义的评估。我们还涉及了统计方面的考量,并对其他影响进行了讨论。版权所有© 2016约翰·威利父子有限公司。

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