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

Stefan Mutter, Carrie Worden, Kara Paxton, Ville Petteri Mäkinen

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    9 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Article number5
    JournalMetabolomics
    Volume16
    Issue number1
    DOIs
    Publication statusPublished or Issued - 1 Jan 2020

    Keywords

    • Integration
    • Meta analysis
    • Metabolic profiles
    • NMR
    • Reporting
    • Summary statistics

    ASJC Scopus subject areas

    • Endocrinology, Diabetes and Metabolism
    • Biochemistry
    • Clinical Biochemistry

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