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A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method

机译:使用自适应连续重新评估方法的1期临床试验中剂量升级的新语用设计

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A key challenge in phase I trials is maintaining rapid escalation in order to avoid exposing too many patients to sub-therapeutic doses, while preserving safety by limiting the frequency of toxic events. Traditional rule-based designs require temporarily stopping recruitment whilst waiting to see whether enrolled patients develop toxicity. This can be both inefficient and introduces logistic challenges to recruitment in the clinic. We describe a novel two-stage dose assignment procedure designed for a phase I clinical trial (STARPAC), where a good estimation of prior was possible. The STARPAC design uses rule-based design until the first patient has a dose limiting toxicity (DLT) and then switches to a modified CRM, with rules to handle patient recruitment during follow-up of earlier patients. STARPAC design is compared via simulations with the TITE-CRM and 3?+?3 methods in various toxicity estimate (T1-5), rate of recruitment (R1-2), and DLT events timing (DT1-4), scenarios using several metrics: accuracy of maximum tolerated dose (MTD), numbers of DLTs, number of patients enrolled and those missed; duration of trial; and proportion of patients treated at the therapeutic dose or MTD. The simulations suggest that STARPAC design performed well in MTD estimation and in treating patients at the highest possible therapeutic levels. STARPAC and TITE-CRM were comparable in the number of patients required and DLTs incurred. The 3?+?3 design often had fewer patients and DLTs although this is due to its low escalation rate leading to poor MTD estimation. For the numbers of declined patients and MTD estimation 3?+?3 is uniformly worse, with STARPAC being better in those metrics for high toxicity scenarios and TITE-CRM better with low toxicity. In situations including doses with toxicities both above and below 30%, the STARPAC design outperformed TITE-CRM with respect to every metric. When considering doses with toxicities both above and below the target of 30% toxicities, the two-stage STARPAC dose escalation design provides a more efficient phase I trial design than either the traditional 3?+?3 or the TITE-CRM design. Trialists should model various designs via simulation to adopt the most efficient design for their clinical scenario. Clinical Trials NCT03307148 (11 October 2017).
机译:I期试验中的一个关键挑战是保持快速升级,以避免将过多的患者暴露于亚治疗剂量,同时通过限制有毒事件的频率来保持安全性。基于传统的规则设计需要暂时停止招聘,同时等待入学患者是否发展毒性。这既不效率低,并引入诊所招募的后勤挑战。我们描述了一种专为I阶段临床试验(Starpac)设计的新型两级剂量分配程序,其中最良好的估计是可能的。 Starpac设计使用基于规则的设计,直到第一患者具有含量限制毒性(DLT),然后与修改的CRM切换,规则在早期患者随访期间处理患者招募。 Starpac设计通过使用Tite-CRM和3?+ 3 + 3方法进行比较各种毒性估计(T1-5),招聘速度(R1-2)和DLT事件定时(DT1-4),使用几种情况指标:最大耐受​​剂量(MTD),DLT数量,注册的患者数量的准确性,患者的数量以及错过的人数;审判持续时间;和治疗剂量或MTD治疗的患者的比例。该模拟表明Starpac设计在MTD估计中表现良好,并在最高可能的治疗水平治疗患者。 Starpac和Tite-CRM在所需的患者的数量方面是可比的,并且发生了DLT。 3?+ 3设计往往具有更少的患者和DLT,尽管这是由于其低升级速度导致MTD估计不良。对于衰退的患者的数量和MTD估计3?+ 3?3均匀地更差,Starpac在那些高毒性情景和Tite-CRM的测量中更好,毒性低。在含有高于毒性的剂量和低于30%的情况下,Starpac设计与每个指标相比表现优于Tite-CRM。在考虑毒性的剂量以上和低于30%毒性的目标时,两级Starpac剂量升级设计提供了比传统的3?+ 3或Tite-CRM设计更有效的I阶段试验设计。试验专家应通过模拟模拟各种设计,以采用最有效的设计,以实现其临床情景。临床试验NCT03307148(2017年10月11日)。

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