The generalized 3+3 (G3) design for Phase I trials: A design for clinicians

IF 1.9 3区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Yuan Ji , Yunxuan Zhang , Andrew Ji , Shivaani Kummar
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引用次数: 0

Abstract

Purpose

To construct a simple and software-free dose-finding design that perform comparable to modern designs relying on statistical models.

Methods

The Generalized 3 + 3 (G3) design uses a set of arithmetic rules that depend on the number of participants enrolled and the number experiencing dose-limiting toxicity (DLT). Computer simulations are conducted based on a set of scenarios published in the literature and adopted by FDA.

Results

The G3 design provides identical decisions to 3 + 3 for 3 and 6 participants, and highly similar ones to modern designs. It performs better in selecting the MTD and patient allocation than 3 + 3 and comparable to modern designs. However, modern designs rely on specialized software while the G3 design can be generated by hand.

Conclusion

The G3 design extends the widely used 3 + 3 design by enabling flexible decision-making for any number of participants enrolled at a dose level. The G3 design is straightforward, transparent, and can be implemented without specialized software—making it an ideal option for clinicians.

Limitation

The G3 design is for classical dose-finding trials based on toxicity outcome. Modern therapeutics may rely on additional outcomes like efficacy or pharmacodynamic effects to define optimal doses.
I期试验的广义3+3 (G3)设计:临床医生设计。
目的:构建一个简单且无软件的剂量测定设计,其性能可与依赖统计模型的现代设计相媲美。方法:广义3 + 3 (G3)设计使用一组算术规则,这些规则取决于入组的参与者人数和经历剂量限制性毒性(DLT)的人数。计算机模拟是基于文献中发表并被FDA采用的一组场景进行的。结果:G3设计对于3和6个参与者提供了与3 + 3相同的决策,并且与现代设计高度相似。它在选择MTD和患者分配方面优于3 + 3,与现代设计相当。然而,现代设计依赖于专门的软件,而G3设计可以手工生成。结论:G3设计扩展了广泛使用的3 + 3设计,允许在剂量水平下对任何数量的参与者进行灵活的决策。G3设计简单、透明,无需专门软件即可实现,是临床医生的理想选择。局限性:G3设计用于基于毒性结果的经典剂量发现试验。现代疗法可能依赖于其他结果,如疗效或药效学效应来确定最佳剂量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.70
自引率
4.50%
发文量
281
审稿时长
44 days
期刊介绍: Contemporary Clinical Trials is an international peer reviewed journal that publishes manuscripts pertaining to all aspects of clinical trials, including, but not limited to, design, conduct, analysis, regulation and ethics. Manuscripts submitted should appeal to a readership drawn from disciplines including medicine, biostatistics, epidemiology, computer science, management science, behavioural science, pharmaceutical science, and bioethics. Full-length papers and short communications not exceeding 1,500 words, as well as systemic reviews of clinical trials and methodologies will be published. Perspectives/commentaries on current issues and the impact of clinical trials on the practice of medicine and health policy are also welcome.
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