Meta-analysis: Methods, strengths, weaknesses, and political uses

John H. Noble Jr
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引用次数: 81

Abstract

The general methodology, strengths and weaknesses, and political uses of meta-analysis are examined. As a systematic study of all studies that have been conducted to answer a specific question or hypothesis, meta-analysis is strong in revealing structural flaws and sources of bias in primary research and in posing promising research questions for future study. It cannot exceed, however, the limits of what is reported by primary researchers. Meta-analysis is particularly challenged to quantify the size of a common effect of treatment across reported trials because of (1) the clinical diversity of the trials and (2) the myriad of potential differences among patients with varying characteristics within the trials. Without access to the original data of reported trials, meta-analysis cannot overcome the bias of underpowered trials toward overstatement of the size of main treatment effects, nor the tendency for such trials to falsely conclude there were no statistically significant adverse events. Although severely compromised by ghost-written or honorary-authored reports of primary research, meta-analysis can make use of its methods to focus on the conflicts of interest and likely sources of bias of such research and make known what precautions should be taken by would-be consumers. Examples show how meta-analysis has clarified thinking about the off-label use of selective serotonin reuptake inhibitors for treating child and adolescent depression, use of low-tidal volume respirator assistance for acute lung injury and acute respiratory distress syndrome patients, and the long-term use of COX-2 inhibitors for relieving arthritic pain. Recommendations are made for Congressional action.

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荟萃分析:方法、优势、劣势和政治用途
一般的方法,优势和劣势,以及政治用途的荟萃分析进行了审查。荟萃分析是对所有为回答特定问题或假设而进行的研究进行的系统研究,在揭示初步研究中的结构性缺陷和偏见来源以及为未来研究提出有希望的研究问题方面具有很强的优势。然而,它不能超过初级研究人员报告的限制。由于(1)试验的临床多样性和(2)试验中具有不同特征的患者之间的无数潜在差异,meta分析在对所报告的试验中治疗的共同效果的大小进行量化方面尤其具有挑战性。由于无法获得已报道试验的原始数据,荟萃分析无法克服弱效试验对主要治疗效果大小夸大的偏见,也无法克服这些试验错误地得出没有统计学显著不良事件的结论的倾向。尽管代写或名誉撰写的原始研究报告严重损害了meta分析,但它可以利用其方法关注这些研究的利益冲突和可能的偏见来源,并使潜在消费者知道应该采取哪些预防措施。实例表明,荟萃分析如何澄清了对标签外使用选择性血清素再摄取抑制剂治疗儿童和青少年抑郁症,使用低潮气量呼吸器辅助治疗急性肺损伤和急性呼吸窘迫综合征患者,以及长期使用COX-2抑制剂缓解关节炎疼痛的思考。建议国会采取行动。
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