@article {Veroniki10.1212 / WNL。0000000000207078，作者= {Veroniki, Argie and Seitidis, Georgios and Tsivgoulis, Georgios and Katsanos, Aristeidis H. and Mavridis, Dimitris}， title ={个人参与者数据元分析导论}，location-id = {10.1212/WNL。0000000000207078}， year = {2023}， doi = {10.1212/WNL。0000000000207078}，出版商= {Wolters Kluwer健康公司代表美国神经病学学会}，摘要={使用来自随机对照试验(rct)的个体参与者数据(IPD-MA)的元分析可以加强半岛投注体育官网用于决策的证据，被认为是{\textquoteleft}黄金标准{\textquoteright}方法。在本文中，我们介绍了进行IPD-MA的重要性、性质和主要方法。我们举例说明了进行IPD-MA的主要方法，以及如何通过估计相互作用项来获得子群效应。与传统的聚合数据元分析相比，IPD-MA有几个优点。这些包括:结果和/或量表定义的标准化，在所有研究中使用相同的分析模型重新分析合格的随机对照试验，解释缺失的结果数据，检测异常值，使用参与者水平的协变量来探索协变量干预的相互作用，以及根据参与者特征定制干预效果。IPD-MA可以采用两阶段或一阶段方法进行。我们用两个说明性的例子来说明所提出的方法。第一个现实生活中的例子包括六项研究，评估在急性缺血性卒中大血管闭塞患者中，加或不加微球超声溶栓与单独静脉溶栓(即对照)的对比。 The second real-life example includes seven studies evaluating the association between blood pressure levels after endovascular thrombectomy and functional improvement of acute ischemic stroke in patients with large vessel occlusion. IPD reviews can be associated with higher-quality statistical analysis and may differ from aggregate data reviews. Unlike individual trials that lack power, and aggregate data meta-analysis results which suffer from confounding and aggregation bias, the use of IPD allows us to explore intervention-by-covariate interactions. However, a key limitation of conducting an IPD-MA is retrieval of IPD from original RCTs. Time and resources should be carefully planned before embarking to retrieving IPD.}, issn = {0028-3878}, URL = {//www.ebmtp.com/content/early/2023/02/16/WNL.0000000000207078}, eprint = {//www.ebmtp.com/content/early/2023/02/16/WNL.0000000000207078.full.pdf}, journal = {Neurology} }