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A multi-laboratory preclinical trial to assess treatment candidates for acute ischemic stroke

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DataCite Commons2026-03-17 更新2025-04-10 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.xd2547dpb
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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 network for the rigorous assessment of candidate stroke treatments combined with intravascular thrombectomy. Futility boundaries in a Multi-Arm Multi-Stage statistical design aimed to exclude less effective interventions, and efficacy boundaries allowed early declaration of success 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 2,615 animals with full data completion and comprehensive animal tracking. SPAN successfully implemented treatment masking, randomization, pre-randomization 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.
提供机构:
Dryad
创建时间:
2023-08-30
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