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

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.

SUBMITTER: Mutter S 

PROVIDER: S-EPMC6904401 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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

Mutter Stefan S   Worden Carrie C   Paxton Kara K   Mäkinen Ville-Petteri VP  

Metabolomics : Official journal of the Metabolomic Society 20191210 1

<h4>Introduction</h4>Meta-analysis is the cornerstone of robust biomedical evidence.<h4>Objectives</h4>We investigated whether statistical reporting practices facilitate metabolomics meta-analyses.<h4>Methods</h4>A literature review of 44 studies that used a comparable platform.<h4>Results</h4>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.<h4>  ...[more]