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 language | English |
|---|---|
| Article number | 5 |
| Journal | Metabolomics |
| Volume | 16 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published 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