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Statistical reporting of metabolomics data: experience from a high-throughput NMR platform and epidemiological applications

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Meta-analysis is the cornerstone of robust biomedical evidence. We investigated whether statistical reporting practices facilitate metabolomics meta-analyses. A literature review of 44 studies that used a comparable platform. Non-numeric formats… Click to show full abstract

Meta-analysis is the cornerstone of robust biomedical evidence. We investigated whether statistical reporting practices facilitate metabolomics meta-analyses. A literature review of 44 studies that used a comparable platform. 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. 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.

Keywords: metabolomics data; reporting metabolomics; data experience; experience high; statistical reporting; high throughput

Journal Title: Metabolomics
Year Published: 2019

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