医学
标准化
冲程(发动机)
可比性
再现性
协调
协议(科学)
多中心研究
一致性(知识库)
临床试验
医学物理学
标准操作程序
物理医学与康复
随机对照试验
病理
统计
替代医学
计算机科学
机械工程
数学
工程类
物理
运营管理
组合数学
人工智能
声学
经济
操作系统
作者
Gemma Llovera,Friederike Langhauser,Sara Isla Cainzos,Maike Hoppen,Hanna Abberger,Ayan Mohamud Yusuf,Stine Mencl,Steffanie Heindl,Alessio Ricci,Steffen Haupeltshofer,Lennart Kuchenbecker-Pöls,Matthias Gunzer,Wiebke Hansen,Dirk M. Hermann,Matthias Gelderblom,Antje Schmidt‐Pogoda,Jens Minnerup,Christoph Kleinschnitz,Tim Magnus,Arthur Liesz
出处
期刊:Stroke
[Lippincott Williams & Wilkins]
日期:2024-09-24
卷期号:55 (10): 2522-2527
被引量:1
标识
DOI:10.1161/strokeaha.124.047232
摘要
BACKGROUND: The discrepancy between experimental research and clinical trial outcomes is a persistent challenge in preclinical studies, particularly in stroke research. A possible factor contributing to this issue is the lack of standardization across experimental stroke models, leading to poor reproducibility in multicenter studies. This study addresses this gap by aiming to enhance reproducibility and the efficacy of multicenter studies through the harmonization of protocols and training of involved personnel. METHODS: We established a set of standard operating procedures for various stroke models and the Neuroscore. These standard operating procedures were implemented across multiple research centers, followed by specialized, in-person training for all participants. We measured the variability in infarct volume both before and after the implementation of these standardized protocols and training sessions. RESULTS: The standardization process led to a significant reduction in variability of infarct volume across different stroke models (40%–50% reduction), demonstrating the effectiveness of our harmonized protocols and training. Additionally, the implementation of the Neuroscore system across centers showed low variability and consistent results up to 28 days poststroke, underscoring its utility in chronic phase evaluations. CONCLUSIONS: The harmonization of protocols and surgeon training significantly reduced variability in experimental outcomes across different centers. This improvement can increase the comparability of data between research groups and enhance the statistical power of multicenter studies. Our findings also establish the Neuroscore as a reliable tool for long-term assessment in stroke research, paving the way for more consistent and impactful multicenter preclinical studies.
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