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

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Mutter , S , Worden , C , Paxton , K & Mäkinen , V-P 2019 , ' Statistical reporting of metabolomics data : experience from a high-throughput NMR platform and epidemiological applications ' , Metabolomics , vol. 16 , no. 1 , 5 . https://doi.org/10.1007/s11306-019-1626-y

Title: Statistical reporting of metabolomics data : experience from a high-throughput NMR platform and epidemiological applications
Author: Mutter, Stefan; Worden, Carrie; Paxton, Kara; Mäkinen, Ville-Petteri
Contributor: University of Helsinki, Clinicum
Date: 2019-12-10
Language: eng
Number of pages: 4
Belongs to series: Metabolomics
ISSN: 1573-3882
URI: http://hdl.handle.net/10138/313291
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.
Subject: NMR
Reporting
Summary statistics
Integration
Meta analysis
Metabolic profiles
3121 Internal medicine
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