医学
临床试验
临床前研究
冲程(发动机)
临床研究设计
随机对照试验
随机化
疾病
假手术
协议(科学)
心理干预
研究设计
纳入和排除标准
重症监护医学
病理
生物信息学
医学物理学
替代医学
机械工程
精神科
工程类
生物
社会科学
社会学
作者
Patrick D. Lyden,Márcio A. Diniz,Francesca Bosetti,Jessica Lamb,Karisma Nagarkatti,André Rogatko,Sungjin Kim,Ryan P. Cabeen,James I. Koenig,Kazi Akhter,Ali S. Arbab,Brooklyn Avery,Hannah E. Beatty,Adnan Bibic,Suyi Cao,Lígia Simões Braga Boisserand,Ángel Chamorro,Anjali Chauhan,Sebastián Díaz-Pérez,Krishnan M. Dhandapani
标识
DOI:10.1126/scitranslmed.adg8656
摘要
Human diseases may be modeled in animals to allow preclinical assessment of putative new clinical interventions. Recent, highly publicized failures of large clinical trials called into question the rigor, design, and value of preclinical assessment. We established the Stroke Preclinical Assessment Network (SPAN) to design and implement a randomized, controlled, blinded, multi-laboratory trial for the rigorous assessment of candidate stroke treatments combined with intravascular thrombectomy. Efficacy and futility boundaries in a multi-arm multi-stage statistical design aimed to exclude from further study highly effective or futile interventions after each of four sequential stages. Six independent research laboratories performed a standard focal cerebral ischemic insult in five animal models that included equal numbers of males and females: young mice, young rats, aging mice, mice with diet-induced obesity, and spontaneously hypertensive rats. The laboratories adhered to a common protocol and efficiently enrolled 2615 animals with full data completion and comprehensive animal tracking. SPAN successfully implemented treatment masking, randomization, prerandomization inclusion and exclusion criteria, and blinded assessment of outcomes. The SPAN design and infrastructure provide an effective approach that could be used in similar preclinical, multi-laboratory studies in other disease areas and should help improve reproducibility in translational science.
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