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连续评估法在日本患者 I 期剂量探索试验中的应用:东学西渐。

Application of the continual reassessment method to a phase I dose-finding trial in Japanese patients: East meets West.

机构信息

Department of Biostatistics and Epidemiology, Yokohama City University Medical Center, 4-57 Urafune-cho, Minami-ku, Yokohama 232-0024, Japan.

出版信息

Stat Med. 2011 Jul 30;30(17):2090-7. doi: 10.1002/sim.3999. Epub 2011 Apr 18.

Abstract

After cancer-related phase I dose-finding trials are completed in Western countries, further phase I trials are often conducted to determine recommended doses (RDS) for Japanese patients. This may be due to concerns about possible differences in treatment tolerability between Caucasians and Japanese. In most of these, a conventional '3 +3' cohort study design is used in making dose escalation decisions, possibly due to its relatively easy implementation. Since its proposal by O'Quigleybiet al. (1990; Biometrics, 46:33-48), the continual reassessment method (CRM) has been used increasingly in cancer-related phase I dose-finding studies as an alternative to '3 +3' designs. One of the principal advantages of applying a Bayesian CRM may be the utilization of all available prior information to estimate RDS through prior distributions that are assumed for model parameters representing the dose-toxicity relationship. In this paper, we present an application of the Bayesian CRM to a phase I dose-finding study in Japanese patients with advanced breast cancer using an informative prior elicited from clinical investigators. In some settings, it may be appropriate to use an informative prior that reflects the accurate and comprehensive previous knowledge of clinical investigators. On the other hand, for a model-based Bayesian outcome-adaptive clinical trial, it is necessary to establish sufficiently vague priors so that accumulating data dominate decisions as the amount of observed data increases. Thus, we retrospectively investigated the relative strength of the prior using a recently proposed method to compute a prior effective sample size.

摘要

在西方国家完成与癌症相关的 I 期剂量发现试验后,通常会进行进一步的 I 期试验,以确定日本患者的推荐剂量(RDS)。这可能是由于担心白种人和日本人之间的治疗耐受性可能存在差异。在这些试验中,大多数采用传统的“3+3”队列研究设计来做出剂量递增决策,这可能是因为其相对容易实施。自 O'Quigley 等人(1990 年;生物统计学,46:33-48)提出以来,连续评估方法(CRM)已越来越多地用于癌症相关的 I 期剂量发现研究中,作为“3+3”设计的替代方法。应用贝叶斯 CRM 的主要优点之一可能是利用所有可用的先验信息通过先验分布来估计 RDS,这些先验分布是为代表剂量-毒性关系的模型参数假设的。在本文中,我们应用贝叶斯 CRM 对来自临床研究人员的信息性先验数据进行了一项在日本晚期乳腺癌患者中进行的 I 期剂量发现研究。在某些情况下,使用反映临床研究人员准确而全面的先验知识的信息性先验可能是合适的。另一方面,对于基于模型的贝叶斯结果适应性临床试验,有必要建立足够模糊的先验,以便随着观察到的数据量的增加,累积数据主导决策。因此,我们使用最近提出的一种方法来计算先验有效样本量,回顾性地研究了先验的相对强度。

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