Critical review of reporting of the data analysis step in metabolomics

Critical review of reporting of the data analysis step in metabolomics Introduction We present the first study to critically appraise the quality of reporting of the data analysis step in metabolomics studies since the publication of minimum reporting guidelines in 2007. Objectives The aim of this study was to assess the standard of reporting of the data analysis step in metabolomics biomarker discovery studies and to investigate whether the level of detail supplied allows basic understanding of the steps employed and/or reuse of the protocol. For the purposes of this review we define the data analysis step to include the data pretreat‑ ment step and the actual data analysis step, which covers algorithm selection, univariate analysis and multivariate analysis. Method We reviewed the literature to identify metabolomic studies of biomarker discovery that were published between January 2008 and December 2014. Studies were examined for completeness in reporting the various steps of the data pre‑ treatment phase and data analysis phase and also for clarity of the workflow of these sections. Results We analysed 27 papers, published anytime in 2008 until the end of 2014 in the area or biomarker discovery in serum metabolomics. The results of this review showed that the data analysis step in metabolomics biomarker discovery studies is http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Metabolomics Springer Journals

Critical review of reporting of the data analysis step in metabolomics

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Life Sciences; Biochemistry, general; Molecular Medicine; Cell Biology; Developmental Biology; Biomedicine, general
ISSN
1573-3882
eISSN
1573-3890
D.O.I.
10.1007/s11306-017-1299-3
Publisher site
See Article on Publisher Site

Abstract

Introduction We present the first study to critically appraise the quality of reporting of the data analysis step in metabolomics studies since the publication of minimum reporting guidelines in 2007. Objectives The aim of this study was to assess the standard of reporting of the data analysis step in metabolomics biomarker discovery studies and to investigate whether the level of detail supplied allows basic understanding of the steps employed and/or reuse of the protocol. For the purposes of this review we define the data analysis step to include the data pretreat‑ ment step and the actual data analysis step, which covers algorithm selection, univariate analysis and multivariate analysis. Method We reviewed the literature to identify metabolomic studies of biomarker discovery that were published between January 2008 and December 2014. Studies were examined for completeness in reporting the various steps of the data pre‑ treatment phase and data analysis phase and also for clarity of the workflow of these sections. Results We analysed 27 papers, published anytime in 2008 until the end of 2014 in the area or biomarker discovery in serum metabolomics. The results of this review showed that the data analysis step in metabolomics biomarker discovery studies is

Journal

MetabolomicsSpringer Journals

Published: Dec 1, 2017

References

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