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

Metabolomics. 2019 Dec 10;16(1):5. doi: 10.1007/s11306-019-1626-y.

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.

Keywords: Integration; Meta analysis; Metabolic profiles; NMR; Reporting; Summary statistics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Databases, Factual
  • Humans
  • Meta-Analysis as Topic
  • Metabolomics / methods*
  • Nuclear Magnetic Resonance, Biomolecular