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A combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation

机译:一种组合的临床前荟萃分析和随机验证试验方法,提高治疗目标验证的数据有效性

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Biomedical research suffers from a dramatically poor translational success. For example, in ischemic stroke, a condition with a high medical need, over a thousand experimental drug targets were unsuccessful. Here, we adopt methods from clinical research for a late-stage pre-clinical meta-analysis (MA) and randomized confirmatory trial (pRCT) approach. A profound body of literature suggests NOX2 to be a major therapeutic target in stroke. Systematic review and MA of all available NOX2-/y studies revealed a positive publication bias and lack of statistical power to detect a relevant reduction in infarct size. A fully powered multi-center pRCT rejects NOX2 as a target to improve neurofunctional outcomes or achieve a translationally relevant infarct size reduction. Thus stringent statistical thresholds, reporting negative data and a MA-pRCT approach can ensure biomedical data validity and overcome risks of bias.
机译:生物医学研究遭受了急剧差的翻译成功。例如,在缺血性脑卒中,在千里医疗需求的情况下,超过一千种实验药物靶标的病症不成功。在这里,我们采用来自临床研究的方法,对后期临床前期分析(MA)和随机验证试验(PRCT)方法进行临床研究。一种深刻的文献,表明NOX2是中风中的主要治疗靶标。所有可用NOx2 - / y 研究的系统审查和MA揭示了一种积极的出版物偏见和缺乏统计能力,以检测梗塞大小的相关减少。一个完全动力的多中心PRCT拒绝NOx2作为改善神经功能结果或达到翻译相关的梗塞大小的目标。因此,严格的统计阈值,报告负数据和MA-PRCT方法可以确保生物医学数据有效性并克服偏差的风险。

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