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Trial sequential analysis: Reducing the likelihood of false-positive findings of meta-analyses.

作者信息

Tu Yu-Kang, Hua Fang, Pandis Nikolaos

机构信息

Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Dentistry, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan.

Center for Evidence-Based Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China.

出版信息

Am J Orthod Dentofacial Orthop. 2025 Jan;167(1):127-132. doi: 10.1016/j.ajodo.2024.10.002.

DOI:10.1016/j.ajodo.2024.10.002
PMID:39709224
Abstract
摘要

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Trial sequential analysis reveals insufficient information size and potentially false positive results in many meta-analyses.序贯试验分析显示，许多荟萃分析中信息规模不足，可能存在假阳性结果。
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Myriads of updated systematic reviews and meta-analyses - Should trial sequential and power-analysis be mandatory?大量更新的系统评价和荟萃分析——序贯试验和功效分析应成为强制性要求吗？
Indian J Anaesth. 2025 Feb;69(2):167-169. doi: 10.4103/ija.ija_1290_24. Epub 2025 Jan 29.