INTRODUCTION Meta-analysis is the cornerstone of robust biomedical evidence. OBJECTIVES We investigated whether statistical reporting practices facilitate metabolomics meta-analyses. METHODS A literature review of 44 studies that used a comparable platform. RESULTS Non-numeric formats were used in 31 studies. In half of the studies, less than a third of all measures were reported. Unadjusted P-values were missing from 12 studies and exact P-values from 9 studies. CONCLUSION Reporting practices can be improved. We recommend (i) publishing all results as numbers, (ii) reporting effect sizes of all measured metabolites and (iii) always reporting unadjusted exact P-values.

中文翻译：

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代谢组学数据的统计报告：高通量NMR平台和流行病学应用的经验。

引言荟萃分析是强有力的生物医学证据的基础。目的我们调查了统计报告实践是否有助于代谢组学的荟萃分析。方法对44项使用可比平台的研究进行文献综述。结果31项研究使用了非数字格式。在一半的研究中，报告不到所有措施的三分之一。12项研究缺少未调整的P值，而9项研究缺少准确的P值。结论可以改进报告做法。我们建议（i）将所有结果发布为数字，（ii）报告所有测量代谢物的作用大小，以及（iii）始终报告未调整的精确P值。