Department of Public Health Sciences, Medical University of South Carolina, Charleston (W.Z., S.D.Y., V.L.D.-M., C.N.M., R.H.M., C.R.D., C.N.C., K.H.P., J.J.E.).
Departments of Neurology and Rehabilitation Medicine, University of Cincinnati Neuroscience Institute, University of Cincinnati Academic Health Center, OH (J.P.B.).
Stroke. 2023 Jul;54(7):1909-1919. doi: 10.1161/STROKEAHA.122.040743. Epub 2023 Apr 20.
From 2016 to 2021, the National Institutes of Health Stroke Trials Network funded by National Institutes of Health/National Institute of Neurological Disorders and Stroke initiated ten multicenter randomized controlled clinical trials. Optimal subject randomization designs are demanded with 4 critical properties: (1) protection of treatment assignment randomness, (2) achievement of the desired treatment allocation ratio, (3) balancing of baseline covariates, and (4) ease of implementation. For acute stroke trials, it is necessary to minimize the time between eligibility assessment and treatment initiation. This article reviews the randomization designs for 3 trials currently enrolling in Stroke Trials Network funded by National Institutes of Health/National Institute of Neurological Disorders and Stroke, the SATURN (Statins in Intracerebral Hemorrhage Trial), the MOST (Multiarm Optimization of Stroke Thrombolysis Trial), and the FASTEST (Recombinant Factor VIIa for Hemorrhagic Stroke Trial). Randomization methods utilized in these trials include minimal sufficient balance, block urn design, big stick design, and step-forward randomization. Their advantages and limitations are reviewed and compared with traditional stratified permuted block design and minimization.
从 2016 年到 2021 年,由美国国立卫生研究院/美国国立神经病学与卒中研究所资助的国家神经病学与卒中学会卒中试验网络发起了十项多中心随机对照临床试验。具有 4 个关键特性的最佳受试者随机化设计受到需求:(1)保护治疗分配的随机性,(2)实现所需的治疗分配比例,(3)平衡基线协变量,以及(4)易于实施。对于急性卒中试验,有必要将从资格评估到开始治疗的时间最小化。本文回顾了目前正在国家神经病学与卒中学会卒中试验网络资助下招募的 3 项试验的随机化设计,包括 SATURN(颅内出血试验中的他汀类药物)、MOST(卒中溶栓多臂优化试验)和 FASTEST(重组因子 VIIa 治疗出血性卒中试验)。这些试验中使用的随机化方法包括最小充分平衡、块 urn 设计、大棒设计和逐步随机化。本文还回顾并比较了它们的优点和局限性,以及与传统的分层随机区组设计和最小化设计的比较。