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使用连续重新评估法的I期临床试验的纵向设计。

Longitudinal design for phase I clinical trials using the continual reassessment method.

作者信息

Legedza A T, Ibrahim J G

机构信息

Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA.

出版信息

Control Clin Trials. 2000 Dec;21(6):574-88. doi: 10.1016/s0197-2456(00)00091-x.

Abstract

The goal of phase I clinical trials is to estimate the maximum tolerated dose (MTD), the highest dose at which a specified probability of toxic response is not exceeded. However, this is not the only piece of information that is useful for the design of phase II and phase III clinical trials. Information on cumulative toxicity is important as well. To study the effect of cumulative toxicity in patients, it is necessary to examine how patients respond to multiple-dose administrations. To this end, we propose a longitudinal dose-response model that accommodates this concern, which is motivated from clearance-rate considerations and from a model proposed by Simon et al. To appropriately titrate an individual's dosage at each time period, we also propose an updating mechanism based on the Bayesian paradigm. We select individual and group MTDs using Legedza and Ibrahim's extension of O'Quigley et al. 's Continual Reassessment Method. Simulations are described to demonstrate the usefulness of our proposal. Control Clin Trials 2000;21:574-588

摘要

I期临床试验的目标是估计最大耐受剂量(MTD),即不超过特定毒性反应概率的最高剂量。然而,这并不是对II期和III期临床试验设计有用的唯一信息。累积毒性信息也很重要。为了研究患者中累积毒性的影响,有必要检查患者对多次给药的反应。为此,我们提出了一个纵向剂量反应模型来解决这一问题,该模型是基于清除率考虑以及Simon等人提出的模型而构建的。为了在每个时间段适当地调整个体剂量,我们还提出了一种基于贝叶斯范式的更新机制。我们使用Legedza和Ibrahim对O'Quigley等人的连续重新评估方法的扩展来选择个体和群体的MTD。通过模拟来证明我们提议的有用性。《控制临床试验》2000年;21:574 - 588

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