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Ethics of parsimonious medicine

机译:灾民伦理

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To the Editor: Most textbooks and guidance documents on systematic reviews discuss the caveats and potential risks of heterogeneity in meta-analysis. It is not appreciated that extreme homogeneity in a meta-analysis can be a far stronger signal of major problems. The careful meta-analysis of hydroxyethyl starch for fluid resuscitation by Dr Zarych-anski and colleagues exemplifies this issue. The Cochrane review on this topic showed extreme be-tween-study homogeneity (left-sided P=.001). When my team screened the entire Cochrane database to identify metaanalyses in which the results across the included studies were too homogeneous, that meta-analysis stood out and we communicated with the principal investigator (Dr Boldt) to find out how he had found such identical results across 5 seemingly different randomized trials. The author indicated that these were not overlapping data sets but that they did represent independent trials performed at different periods at the same institution.
机译:向编辑:大多数教科书和关于系统评价的指导文件讨论了Meta分析中的异质性的警告和潜在风险。 不理解,META分析中的极端均匀性可以是主要问题的强烈信号。 Zarych-Anski博士和同事们对流体复苏的致细胞分析的仔细荟萃分析举例说明了这个问题。 Cochrane审查关于这一主题的综述显示出极端的Tween-Shable均匀性(左侧P = .001)。 当我的团队筛选整个Cochrane数据库以识别所包含的研究的结果太均匀的MetaAnalyses,即Meta-anysis突出,我们与主要调查员(Boldt博士)沟通,了解他如何找到这种相同的结果 在5个看似不同的随机试验中。 作者表示,这些没有重叠数据集,但他们确实代表了在同一机构的不同时期进行的独立试验。

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