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

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

Research output: Contribution to journalArticle

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 - 19 Dec 2019

Keywords

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

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Clinical Biochemistry

Cite this