When planning an oncology clinical trial, the usual approach is to assume an exponential distribution for the time-to-event endpoints. Often, besides the gold-standard endpoint overall survival, progression-free survival is considered as a second confirmatory endpoint. We use a survival multistate model to jointly model these two endpoints and find that neither exponential distribution nor proportional hazards will typically hold for both endpoints simultaneously. The multistate model approach allows us to consider the joint distribution of the two endpoints and to derive quantities of interest as the correlation between overall survival and progression-free survival. In this paper, we use the multistate model framework to simulate clinical trials with endpoints OS and PFS and show how design planning questions can be answered using this approach. In addition to the major advantage that we can model non-proportional hazards quite naturally with this approach, the correlation between the two endpoints can be exploited to determine sample size and type-I-error. We consider an oncology trial on non-small-cell lung cancer as a motivating example from which we derive relevant trial design questions. We then illustrate how clinical trial design can be based on simulations from a multistate model. Key applications are co-primary endpoints and group-sequential designs. Simulations for these applications show that the standard simplifying approach often leads to underpowered or overpowered clinical trials. Our approach is quite general and can be extended to more complex trial designs, further endpoints, and other therapeutic areas.
翻译:在规划肿瘤临床试验时,通常的做法是假设时间到活动终点的指数分布。通常,除了黄金标准端点总生存量之外,无进步生存通常被视为第二个确认终点。我们使用生存多州模式共同模拟这两个终点,发现这两个端点的指数分布或成比例危害通常不会同时维持。多州模式方法使我们能够考虑两个端点的联合分布,并获得大量的兴趣,作为总体生存和无进展生存之间的关联。在本文件中,我们使用多州模型框架模拟临床试验,用端点OS和PFS模拟临床试验,并展示如何用这种方法回答设计规划问题。除了我们用这种方法可以非常自然地模拟非过度危险的主要优势外,两个端点之间的相互关系可以用来确定样本大小和类型I-erorror。我们考虑对非中小点肺癌进行肿瘤试验,作为我们从中推导出相关试验设计问题的激励性实例。我们然后用多州模型来说明临床试验设计如何能以更精确的方式模拟这些标准区域。我们随后用基级标准模型来模拟我们的模型和多级试验设计,这些模型可以用来模拟。