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药物联合剂量发现试验的新功能。

A new function for drug combination dose finding trials.

机构信息

Department of Financial and Actuarial Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China.

出版信息

Sci Rep. 2024 Feb 12;14(1):3483. doi: 10.1038/s41598-024-53155-4.

Abstract

Combination drugs play an essential role in treating cancers. The challenging part of the combination drugs are to specify the dose-toxicity ordering, which means the sequences of dose escalation and de-escalation in process of dose findings should be pre-determined. In the paper, we extend a novel function of the continual reassessment method based on the combination of the normal distribution for drug-combination dose-finding trials and systematically evaluate its performance using a template of four performance measures EARS (Efficiency, Accuracy, Reliability, Selection). Dose escalation and deescalation rules are based on the nearest neighborhood continual reassessment method for a combination drug, and we specify all possible dose-toxicity orderings in the trial. Simulation demonstrates that the new design is efficient, accurate and reasonably reliable.

摘要

联合药物在癌症治疗中起着至关重要的作用。联合药物的挑战部分在于确定剂量-毒性顺序,这意味着在剂量发现过程中应该预先确定剂量递增和递减的顺序。在本文中,我们扩展了一种新的连续评估方法的功能,该方法基于正态分布的组合,用于药物联合剂量发现试验,并使用四个性能指标 EARS(效率、准确性、可靠性、选择)系统地评估其性能。剂量递增和递减规则基于联合药物的最近邻连续评估方法,我们在试验中指定了所有可能的剂量-毒性顺序。模拟表明,新设计是高效、准确和合理可靠的。

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本文引用的文献

1
Keyboard design for phase I drug-combination trials.用于I期药物联合试验的键盘设计。
Contemp Clin Trials. 2020 May;92:105972. doi: 10.1016/j.cct.2020.105972. Epub 2020 Mar 7.
2
Adaptive Clinical Trials: Overview of Early-Phase Designs and Challenges.适应性临床试验:早期设计概述与挑战
Ther Innov Regul Sci. 2014 Jan;48(1):20-30. doi: 10.1177/2168479013513889. Epub 2013 Nov 26.
5
6
Bayesian optimal interval design for dose finding in drug-combination trials.药物联合试验中剂量探索的贝叶斯最优区间设计
Stat Methods Med Res. 2017 Oct;26(5):2155-2167. doi: 10.1177/0962280215594494. Epub 2015 Jul 15.

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