药物和器械开发中基于模型的元分析及数据共享的附加价值

T. Muka
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引用次数: 0

摘要

荟萃分析是最高级别的证据,是一种统计分析,包括对不同研究结果的数学组合。荟萃分析可以是系统评价的一个子集,也可以是来自个体患者数据(IPD)的结果汇总。近年来,已发表的系统评论和荟萃分析的数量呈指数级增长:PubMed上的一项搜索显示,2000年约有1600篇系统评论和荟萃分析出版物被索引,而2020年超过35000篇。预计这一上升趋势将继续下去。随着新的监管环境使临床评价报告(CERs)的开发和维护成为药物和器械制造商的优先事项,方法学上合理的meta分析将成为指导战略性药物和器械开发决策的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-based meta-analysis in drug and device development and the added value of data sharing
Meta-analysis, the highest level of evidence, is a statistical analysis that includes a mathematical combination of the results from different studies. Meta-analysis can be a subset of systematic review or the pooling of results from individual patient data (IPD). The number of published systematic reviews and meta-analyses has grown exponentially in recent years: a search in PubMed showed that around 1,600 systematic review and meta-analysis publications were indexed in 2000 compared to over 35,000 in 2020. And this upward trend is projected to continue. With the new regulatory landscape making the development and maintenance of clinical evaluation reports (CERs) a priority for drug and device manufacturers, methodologically sound meta-analysis will be key to guiding strategic drug and device development decisions.
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