Institute of Statistics, Ulm University, Ulm, Germany.
Global Biostatistics, Merck KGaA, Darmstadt, Germany.
Pharm Stat. 2020 May;19(3):262-275. doi: 10.1002/pst.1989. Epub 2019 Dec 10.
A clinical hold order by the Food and Drug Administration (FDA) to the sponsor of a clinical trial is a measure to delay a proposed or to suspend an ongoing clinical investigation. The phase III clinical trial START serves as motivating data example to explore implications and potential statistical approaches for a trial continuing after a clinical hold is lifted. In spite of a modified intention-to-treat (ITT) analysis introduced to account for the clinical hold by excluding patients potentially affected most by the clinical hold, results of the trial did not show a significant improvement of overall survival duration, and the question remains whether the negative result was an effect of the clinical hold. In this paper, we propose a multistate model incorporating the clinical hold as well as disease progression as intermediate events to investigate the impact of the clinical hold on the treatment effect. Moreover, we consider a simple counterfactual censoring approach as alternative strategy to the modified ITT analysis to deal with a clinical hold. Using a realistic simulation study informed by the START data and with a design based on our multistate model, we show that the modified ITT analysis used in the START trial was reasonable. However, the censoring approach will be shown to have some benefits in terms of power and flexibility.
美国食品和药物管理局(FDA)对临床试验发起人的临床搁置令是延迟提议或暂停正在进行的临床研究的一种措施。START 三期临床试验作为一个激励数据示例,探讨了在临床搁置解除后继续进行试验的影响和潜在的统计方法。尽管引入了修改后的意向治疗(ITT)分析来排除受临床搁置影响最大的潜在患者,但试验结果并未显示总生存时间的显著改善,因此仍存在负面结果是否是临床搁置的影响的问题。在本文中,我们提出了一个多状态模型,将临床搁置和疾病进展作为中间事件纳入其中,以研究临床搁置对治疗效果的影响。此外,我们考虑了一种简单的反事实删失方法作为修改后的 ITT 分析的替代策略来处理临床搁置。我们使用基于 START 数据的现实模拟研究,并基于我们的多状态模型进行设计,表明在 START 试验中使用的修改后的 ITT 分析是合理的。然而,删失方法在功效和灵活性方面将显示出一些优势。