Polytechnic Institute of Porto School of Health, Department of Pharmacy, Rua da Boavista, n°734 4°Dto, 4050-105, Porto, Portugal.
Pharmacy Faculty of the University of Coimbra, Department of Pharmacology, Coimbra, Portugal.
Ther Innov Regul Sci. 2020 Jan;54(1):246-258. doi: 10.1007/s43441-019-00052-y. Epub 2020 Jan 6.
In an adaptive trial, the researcher may have the option of responding to interim safety and efficacy data in a number of ways, including narrowing the study focus or increasing the number of subjects, balancing treatment allocation or different forms of randomization based on responses of subjects prior to treatment. This research aims at compiling the technical, statistical, and regulatory implications of the employment of adaptive design in a clinical trial.
Review of adaptive design clinical trials in Medline, PubMed, EU Clinical Trials Register, and ClinicalTrials.gov. Phase I and seamless phase I/II trials were excluded. We selected variables extracted from trials that included basic study characteristics, adaptive design features, size and use of independent data-monitoring committees (DMCs), and blinded interim analysis.
The research retrieved 336 results, from which 78 were selected for analysis. Sixty-seven were published articles, and 11 were guidelines, papers, and regulatory bills. The most prevalent type of adaptation was the seamless phase II/III design 23.1%, followed by adaptive dose progression 19.2%, pick the winner / drop the loser 16.7%, sample size re-estimation 10.3%, change in the study objective 9.0%, adaptive sequential design 9.0%, adaptive randomization 6.4%, biomarker adaptive design 3.8%, and endpoint adaptation 2.6%. Discussion DISCUSSION: It is possible to infer that the use of Adaptive Design is an ethical and scientific advantage when properly planned and applied, since it increases the flexibility of the trial, shortens the overall clinical investigation time of a drug, and reduces the risk of patient exposure to adverse effects related to the experimental drug. Its greater methodologic and analytic complexity requires an adequate statistical methodology.
The application of "adaptive clinical designs" for phase II/III studies appear to have been limited to trials with a small number of study centers, with smaller extensions of time and to experimental drugs with more immediate clinical effects that are amenable to risk/benefit decisions based on interim analyses. According to the reviewed studies, simple adaptive trial designs-such as early study terminations due to futility and sample size re-estimation-are becoming widely adopted throughout the pharmaceutical industry, especially in phase II and III studies. The pharmaceutical industry and contract research organizations (CROs) are implementing simple adaptations more frequently and the more complex adaptations-biomarker adaptive design, endpoint adaptation-are more sporadic.
在适应性试验中,研究人员可以选择多种方式来应对中期安全性和疗效数据,包括缩小研究重点或增加研究对象数量,根据治疗前研究对象的反应来平衡治疗分配或不同形式的随机化。本研究旨在总结适应性设计在临床试验中的技术、统计和监管意义。
在 Medline、PubMed、欧盟临床试验注册处和 ClinicalTrials.gov 中检索适应性设计临床试验。排除了 I 期和无缝 I/II 期试验。我们选择了从试验中提取的变量,包括基本研究特征、适应性设计特征、独立数据监测委员会(DMC)的规模和使用情况以及盲法中期分析。
研究共检索到 336 项结果,其中 78 项被选入分析。67 项为已发表的文章,11 项为指南、论文和法规法案。最常见的适应类型是无缝 II/III 设计(23.1%),其次是适应性剂量递增(19.2%)、挑选胜者/淘汰败者(16.7%)、样本量重新估计(10.3%)、研究目标改变(9.0%)、自适应序贯设计(9.0%)、自适应随机化(6.4%)、生物标志物适应性设计(3.8%)和终点适应性设计(2.6%)。
可以推断,当合理规划和应用时,使用适应性设计是一种伦理和科学上的优势,因为它增加了试验的灵活性,缩短了药物的整体临床研究时间,并降低了患者暴露于与实验药物相关的不良反应的风险。其更复杂的方法学和分析需要适当的统计方法。
“适应性临床设计”在 II/III 期研究中的应用似乎仅限于研究中心数量较少的试验,试验时间较短,实验药物具有更直接的临床效果,便于根据中期分析做出风险/获益决策。根据审查的研究,简单的适应性试验设计——例如由于无效和样本量重新估计而早期终止研究——在制药行业中越来越广泛地采用,尤其是在 II 期和 III 期研究中。制药行业和合同研究组织(CRO)更频繁地实施简单的适应性调整,而更复杂的适应性调整——生物标志物适应性设计、终点适应性调整——则更为零星。