重新分析随机临床试验数据
Shanil Ebrahim1, Zahra N Sohani2, Luis Montoya3
1Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California2Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada3Department of Anesthesia, McMaster University4Depa.
JAMA
|September 10, 2014
概括
发表的随机临床试验 (RCT) 重新分析很少,很少有独立的. 许多重新分析改变了研究结果,影响了患者治疗建议.
科学领域:
- 医学研究方法学 医学研究方法学
- 临床试验分析
- 证据综合 证据综合
背景情况:
- 对随机临床试验 (RCT) 数据的重新分析对于验证报告结果至关重要.
- 评估试验结果的有效性可以增强科学界的信任和数据完整性.
研究的目的:
- 识别和描述已发表的RCT数据再分析.
- 评估作者独立性和有关患者治疗的解释变化.
- 了解重新分析对临床结论的影响.
主要方法:
- 在MEDLINE系统的电子搜索中进行RCT再分析.
- 由四位专家进行独立的数据提取.
- 原始RCT与其已发表的再分析进行比较.
主要成果:
- 在36个出版物中确定了37个符合条件的再分析.
- 再分析通常在统计方法 (18) 和结果定义 (12) 中存在差异.
- 13次重新分析 (35%) 导致患者治疗建议的解释发生了变化.
结论:
- 发表的RCT再分析很少,独立执行有限.
- 很大一部分重新分析导致了关于患者选择治疗的修改结论.
- 重新分析强调了临床研究中数据透明度和独立验证的重要性.
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