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Flexible rule-based dose escalation: The cohort-sequence design

机译:灵活的基于规则的剂量递增:队列序列设计

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摘要

Phase I oncology trials seek to acquire preliminary information on the safety of novel treatments. In current practice, most such trials employ rule-based designs that determine whether to escalate the dose using data from the current dose only. The most popular of these, the 3 + 3, is simple and familiar but inflexible and inefficient. We propose a rule-based design that addresses these deficiencies. Our method, which we denote the design, is defined by a sequence of increasing cohort sizes and corresponding critical values . The idea is to begin with a small cohort size and escalate through the planned doses, increasing the cohort size when we encounter toxicities. By selection of and a safety threshold tuning parameter θ, one can create a design that will efficiently identify a target toxicity rate, potentially including a built-in dose-expansion cohort. We compared our designs to the 3 + 3 under a range of toxicity scenarios, observing that our approach generally rapidly identifies an MTD without enrolling patients unnecessarily at low doses where both toxicity and response rates are likely to be low. We have implemented the design in the R package .
机译:一期肿瘤学试验试图获得有关新疗法安全性的初步信息。在当前的实践中,大多数此类试验采用基于规则的设计,这些设计仅使用来自当前剂量的数据来确定是否升级剂量。其中最流行的3 + 3简单而熟悉,但缺乏灵活性和效率。我们提出了一种基于规则的设计来解决这些缺陷。我们表示设计的方法是通过增加队列规模和相应的临界值的顺序来定义的。想法是从较小的队列开始,并逐步增加计划的剂量,当遇到毒性时增加队列的大小。通过选择安全阈值调整参数θ和安全阈值调整参数θ,可以创建一种可以有效识别目标毒性率(可能包括内置剂量扩展队列)的设计。我们在一系列毒性情况下将我们的设计与3 + 3进行了比较,观察到我们的方法通常可以快速识别MTD,而无需在毒性和反应率都可能很低的低剂量下不必要地招募患者。我们已经在R包中实现了该设计。

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