Statistical Modeling & Methodology, Janssen R&D, Janssen-Cilag GmbH, Neuss, Germany.
Biostatistics, Roche Innovation Center Basel, F Hoffmann-La Roche AG, Basel, Switzerland.
Pharm Stat. 2023 Sep-Oct;22(5):921-937. doi: 10.1002/pst.2319. Epub 2023 Jul 4.
The addendum of the ICH E9 guideline on the statistical principles for clinical trials introduced the estimand framework. The framework is designed to strengthen the dialog between different stakeholders, to introduce greater clarity in the clinical trial objectives and to provide alignment between the estimand and statistical analysis. Estimand framework related publications thus far have mainly focused on randomized clinical trials. The intention of the Early Development Estimand Nexus (EDEN), a task force of the cross-industry Oncology Estimand Working Group (www.oncoestimand.org), is to apply it to single arms Phase 1b or Phase 2 trials designed to detect a treatment-related efficacy signal, typically measured by objective response rate. Key recommendations regarding the estimand attributes include that in a single arm early clinical trial, the treatment attribute should start when the first dose is received by the participant. Focusing on the estimation of an absolute effect, the population-level summary measure should reflect only the property used for the estimation. Another major component introduced in the ICH E9 addendum is the definition of intercurrent events and the associated possible ways to handle them. Different strategies reflect different clinical questions of interest that can be answered based on the journeys an individual subject can take during a trial. We provide detailed strategy recommendations for intercurrent events typically seen in early-stage oncology. We highlight where implicit assumptions should be made transparent as whenever follow-up is suspended, a while-on-treatment strategy is implied.
ICH E9 指导原则的附录中引入了估计量框架。该框架旨在加强不同利益相关者之间的对话,使临床试验目标更加清晰,并使估计量和统计分析保持一致。迄今为止,与估计量框架相关的出版物主要集中在随机临床试验上。跨行业肿瘤学估计量工作组(www.oncoestimand.org)的早期开发估计量纽带(EDEN)是一个工作组,其目的是将其应用于旨在检测治疗相关疗效信号的单臂 1b 期或 2 期试验中,通常通过客观缓解率来衡量。关于估计量属性的关键建议包括,在单臂早期临床试验中,治疗属性应从参与者首次接受剂量时开始。关注绝对效应的估计,人群水平的汇总度量应仅反映用于估计的属性。ICH E9 附录中引入的另一个主要组成部分是对并发事件及其相关处理方法的定义。不同的策略反映了不同的临床问题,这些问题可以根据个体在试验期间所经历的过程来回答。我们提供了早期肿瘤学中常见的并发事件的详细策略建议。我们强调了应该使隐含假设透明化的地方,因为只要暂停随访,就意味着采用了治疗期间策略。