Data and Statistical Sciences, AbbVie, Inc, 1 N Waukegan Road, North Chicago, IL, 60064-1802, USA.
Global Statistical Sciences, Eli Lilly and Company, Indianapolis, IN, USA.
Ther Innov Regul Sci. 2020 Jan;54(1):42-54. doi: 10.1007/s43441-019-00028-y. Epub 2020 Jan 6.
The DIA Adaptive Designs Scientific Working Group has a devoted subteam to performing surveys, literature reviews, and registry reviews every 4 years to assess the perception and use of adaptive designs (ADs) in the development of drugs and biologics.
A survey was distributed to pharmaceutical companies, academic institutions, and contract research organizations to collect information about the usage of ADs of different types and perception of challenges for their use. Literature and registry reviews were conducted to assess the prevalence of ADs of different types in drug and biologics development. These results were compared to previous surveys and reviews using summary statistics.
ADs appear to be more widely considered in the last 4 years as compared to earlier 4-year periods.
The most common types of ADs remain early stopping, treatment group adaptations, and sample size re-estimation. Both stopping early for safety and changing the endpoint of the analyses were rarely mentioned in literature prior to 2012 but are now appearing more frequently. The barriers of change management and negative experiences by some institutions with ADs remain a source of concern. Additional, consistent training would be helpful to choose the right adaptation(s) needed for specific clinical trials and for planning appropriately for operational efficiency such as for drug supply management and data management. The perceived barrier of regulatory acceptance also remains a concern, which could be alleviated by additional interaction with agencies and an update of the FDA draft guidance to industry on adaptive designs.
DIA 适应性设计科学工作组有一个专门的小组,每四年进行一次调查、文献综述和注册审查,以评估药物和生物制品开发中适应性设计(AD)的认知和使用情况。
向制药公司、学术机构和合同研究组织分发了一份调查,以收集有关不同类型 AD 的使用情况和使用挑战认知的信息。进行了文献和注册审查,以评估不同类型 AD 在药物和生物制品开发中的流行程度。使用汇总统计数据将这些结果与之前的调查和综述进行了比较。
与前 4 年相比,AD 在过去 4 年中似乎被更广泛地考虑。
最常见的 AD 类型仍然是早期停止、治疗组适应性和样本量重新估计。在 2012 年之前,文献中很少提到因安全性而提前停止和改变分析终点的情况,但现在这种情况越来越常见。变革管理的障碍以及一些机构对 AD 的负面体验仍然令人担忧。额外的、一致的培训将有助于为特定临床试验选择正确的适应性设计,并为运营效率(例如药物供应管理和数据管理)进行适当的规划。监管机构接受的认知障碍仍然是一个问题,可以通过与机构的进一步互动以及更新 FDA 关于适应性设计的行业指南草案来缓解。