Suppr超能文献

一种采用适应性随机化方案的I/II期无缝剂量递增/扩展试验(SEARS)。

A phase I/II seamless dose escalation/expansion with adaptive randomization scheme (SEARS).

作者信息

Pan Haitao, Xie Fang, Liu Ping, Xia Jielai, Ji Yuan

机构信息

aDepartment of Health Statistics, Fourth Military Medical University, Xi'an, China.

出版信息

Clin Trials. 2014 Feb;11(1):49-59. doi: 10.1177/1740774513500081. Epub 2013 Oct 17.

Abstract

BACKGROUND

Standard drug development conducts phase I dose finding and phase II dose expansion sequentially and separately. Information between the two phases is rarely shared. Administratively, such a sequential process is time-consuming and burdensome.

PURPOSE

We propose seamless dose escalation/expansion with adaptive randomization scheme (SEARS), a seamless design that combines phase I dose escalation based on toxicity with phase II dose expansion and dose comparison based on efficacy. SEARS allows extension from phase I to phase II under one design with no gap in between and employs a dynamic and parallel procedure involving simultaneous dose escalation, dose graduation, and adaptive randomization.

METHODS

SEARS integrates three components into a seamless scheme. Specifically, in phase I, SEARS applies the modified toxicity probability interval (mTPI) method to monitor dose escalation based on toxicity outcome. Doses that show promising efficacy and safety are immediately graduated from phase I and placed to a phase II stage in which patients are adaptively randomized based on efficacy outcome. Phase I dose escalation, dose graduation, and phase II adaptive randomization proceed simultaneously throughout the entire trial.

RESULTS

Examples are given comparing SEARS with two other designs, in which superior performance of SEARS is demonstrated. An important and promising finding is that SEARS reduces sample sizes without losing power. R program and demo slides of SEARS can be obtained at http://health.bsd.uchicago.edu/yji/soft.html

LIMITATION

We assume that the binary efficacy and toxicity response can be measured in the same time frame. This is often achievable with surrogate efficacy markers in practice.

摘要

背景

标准药物研发依次且分别进行I期剂量探索和II期剂量扩展。两个阶段之间的信息很少共享。在管理上,这样的顺序过程既耗时又繁琐。

目的

我们提出了一种具有自适应随机化方案的无缝剂量递增/扩展方法(SEARS),这是一种无缝设计,它将基于毒性的I期剂量递增与II期剂量扩展以及基于疗效的剂量比较相结合。SEARS允许在一个设计下从I期扩展到II期,中间没有间隙,并采用一种动态并行程序,包括同时进行剂量递增、剂量分级和自适应随机化。

方法

SEARS将三个部分整合到一个无缝方案中。具体而言,在I期,SEARS应用改良的毒性概率区间(mTPI)方法,根据毒性结果监测剂量递增。显示出有前景的疗效和安全性的剂量会立即从I期分级,并进入II期阶段,在该阶段患者根据疗效结果进行自适应随机化。在整个试验过程中,I期剂量递增、剂量分级和II期自适应随机化同时进行。

结果

给出了将SEARS与其他两种设计进行比较的示例,展示了SEARS的优越性能。一个重要且有前景的发现是,SEARS在不损失检验效能的情况下减少了样本量。可在http://health.bsd.uchicago.edu/yji/soft.html获取SEARS的R程序和演示幻灯片。

局限性

我们假设二元疗效和毒性反应可以在同一时间框架内测量。在实践中,使用替代疗效标志物通常可以实现这一点。

相似文献

1
A phase I/II seamless dose escalation/expansion with adaptive randomization scheme (SEARS).
Clin Trials. 2014 Feb;11(1):49-59. doi: 10.1177/1740774513500081. Epub 2013 Oct 17.
2
A Bayesian adaptive design for multi-dose, randomized, placebo-controlled phase I/II trials.
Contemp Clin Trials. 2012 Jul;33(4):739-48. doi: 10.1016/j.cct.2012.03.001. Epub 2012 Mar 9.
3
A novel Bayesian seamless phase I/II design.
PLoS One. 2013 Sep 4;8(9):e73060. doi: 10.1371/journal.pone.0073060. eCollection 2013.
4
Sequential or combined designs for Phase I/II clinical trials? A simulation study.
Clin Trials. 2019 Dec;16(6):635-644. doi: 10.1177/1740774519872702. Epub 2019 Sep 20.
5
Improved adaptive randomization strategies for a seamless Phase I/II dose-finding design.
J Biopharm Stat. 2019;29(2):333-347. doi: 10.1080/10543406.2018.1535496. Epub 2018 Nov 17.
6
A Bayesian adaptive Phase I-II clinical trial for evaluating efficacy and toxicity with delayed outcomes.
Clin Trials. 2014 Feb;11(1):38-48. doi: 10.1177/1740774513500589. Epub 2013 Sep 30.
7
Application of Bayesian hierarchical models for phase I/II clinical trials in oncology.
Pharm Stat. 2017 Mar;16(2):114-121. doi: 10.1002/pst.1793. Epub 2016 Nov 28.
8
STEIN: A simple toxicity and efficacy interval design for seamless phase I/II clinical trials.
Stat Med. 2017 Nov 20;36(26):4106-4120. doi: 10.1002/sim.7428. Epub 2017 Aug 7.
9
Modified toxicity probability interval design: a safer and more reliable method than the 3 + 3 design for practical phase I trials.
J Clin Oncol. 2013 May 10;31(14):1785-91. doi: 10.1200/JCO.2012.45.7903. Epub 2013 Apr 8.
10
A Bayesian dose-finding design for phase I/II clinical trials with nonignorable dropouts.
Stat Med. 2015 May 10;34(10):1721-32. doi: 10.1002/sim.6443. Epub 2015 Jan 28.

引用本文的文献

1
Statistical and practical considerations in planning and conduct of dose-optimization trials.
Clin Trials. 2024 Jun;21(3):273-286. doi: 10.1177/17407745231207085. Epub 2024 Jan 19.
2
A modular framework for early-phase seamless oncology trials.
Clin Trials. 2021 Jun;18(3):303-313. doi: 10.1177/1740774520981939. Epub 2021 Jan 21.
3
2D (2 Dimensional) TEQR design for Determining the optimal Dose for safety and efficacy.
Contemp Clin Trials Commun. 2019 Oct 12;16:100461. doi: 10.1016/j.conctc.2019.100461. eCollection 2019 Dec.
4
Seamless Designs: Current Practice and Considerations for Early-Phase Drug Development in Oncology.
J Natl Cancer Inst. 2019 Feb 1;111(2):118-128. doi: 10.1093/jnci/djy196.
5
Overall success rate of a safe and efficacious drug: Results using six phase 1 designs, each followed by standard phase 2 and 3 designs.
Contemp Clin Trials Commun. 2018 Aug 24;12:40-50. doi: 10.1016/j.conctc.2018.08.010. eCollection 2018 Dec.
7
Integrating the escalation and dose expansion studies into a unified Phase I clinical trial.
Contemp Clin Trials. 2016 Sep;50:124-34. doi: 10.1016/j.cct.2016.06.010. Epub 2016 Jul 5.
9
Quality improvement and practice-based research in neurology using the electronic medical record.
Neurol Clin Pract. 2015 Oct;5(5):419-429. doi: 10.1212/CPJ.0000000000000176.
10
The continual reassessment method for multiple toxicity grades: a bayesian model selection approach.
PLoS One. 2014 May 29;9(5):e98147. doi: 10.1371/journal.pone.0098147. eCollection 2014.

本文引用的文献

1
Modified toxicity probability interval design: a safer and more reliable method than the 3 + 3 design for practical phase I trials.
J Clin Oncol. 2013 May 10;31(14):1785-91. doi: 10.1200/JCO.2012.45.7903. Epub 2013 Apr 8.
2
A Bayesian adaptive design for multi-dose, randomized, placebo-controlled phase I/II trials.
Contemp Clin Trials. 2012 Jul;33(4):739-48. doi: 10.1016/j.cct.2012.03.001. Epub 2012 Mar 9.
3
Dose-finding design driven by efficacy in onco-hematology phase I/II trials.
Stat Med. 2011 Jun 15;30(13):1574-83. doi: 10.1002/sim.4152. Epub 2011 Mar 11.
4
A modified toxicity probability interval method for dose-finding trials.
Clin Trials. 2010 Dec;7(6):653-63. doi: 10.1177/1740774510382799. Epub 2010 Oct 8.
5
6
Adaptive randomization for multiarm comparative clinical trials based on joint efficacy/toxicity outcomes.
Biometrics. 2009 Sep;65(3):876-84. doi: 10.1111/j.1541-0420.2008.01175.x. Epub 2009 Jan 23.
7
Monitoring late-onset toxicities in phase I trials using predicted risks.
Biostatistics. 2008 Jul;9(3):442-57. doi: 10.1093/biostatistics/kxm044. Epub 2007 Dec 14.
8
A parallel phase I/II clinical trial design for combination therapies.
Biometrics. 2007 Jun;63(2):429-36. doi: 10.1111/j.1541-0420.2006.00685.x.
9
Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratios.
Biometrics. 2006 Sep;62(3):777-84. doi: 10.1111/j.1541-0420.2006.00534.x.
10
An adaptive dose-finding design incorporating both toxicity and efficacy.
Stat Med. 2006 Jul 30;25(14):2365-83. doi: 10.1002/sim.2325.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验