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dc.contributor.authorLeite, DFB-
dc.contributor.authorMorillon, A-C-
dc.contributor.authorMelo Júnior, EF-
dc.contributor.authorSouza, RT-
dc.contributor.authorKhashan, AS-
dc.contributor.authorBaker, PN-
dc.contributor.authorKenny, LC-
dc.contributor.authorCecatti, JG-
dc.identifier.citationBMJ Open 2018;8:e022743en
dc.descriptionPrepublication history and additional material for this paper are available online. To view these files, please visit the journal online (
dc.description.abstractINTRODUCTION: Fetal growth restriction (FGR) is a relevant research and clinical concern since it is related to higher risks of adverse outcomes at any period of life. Current predictive tools in pregnancy (clinical factors, ultrasound scan, placenta-related biomarkers) fail to identify the true growth-restricted fetus. However, technologies based on metabolomics have generated interesting findings and seem promising. In this systematic review, we will address diagnostic accuracy of metabolomics analyses in predicting FGR. METHODS AND ANALYSIS: Our primary outcome is small for gestational age infant, as a surrogate for FGR, defined as birth weight below the 10th centile by customised or population-based curves for gestational age. A detailed systematic literature search will be carried in electronic databases and conference abstracts, using the keywords 'fetal growth retardation', 'metabolomics', 'pregnancy' and 'screening' (and their variations). We will include original peer-reviewed articles published from 1998 to 2018, involving pregnancies of fetuses without congenital malformations; sample collection must have been performed before clinical recognition of growth impairment. If additional information is required, authors will be contacted. Reviews, case reports, cross-sectional studies, non-human research and commentaries papers will be excluded. Sample characteristics and the diagnostic accuracy data will be retrieved and analysed. If data allows, we will perform a meta-analysis. ETHICS AND DISSEMINATION: As this is a systematic review, no ethical approval is necessary. This protocol will be publicised in our institutional websites and results will be submitted for publication in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42018089985.en
dc.description.sponsorshipThis research was supported by Brazilian National Research Council (grant number 401636/2013-5) and Bill and Melinda Gates Foundation (grant number OPP1107597-Grand Challenges Brazil: Reducing the burden of preterm birth, Fiotec number 05/2013), which provided funding to PRETERM-SAMBA project ( DFBL was granted a scholarship (process number 88881.134512/2016-01) from the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES) and developed part of her doctoral studies as a visiting student at University College Cork, Ireland. RTS has also awarded a scholarship from CAPES (process number 88881.134095/2016-01). A-CM was granted a scholarship from Science Foundation Ireland, for her doctoral thesis. Our sponsors have not intervened in authors’ decision to write the systematic review protocol or to submit this paper.en
dc.publisherBMJ Publishing Groupen
dc.rightsCopyright © the authors, 2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.subjectfetal growth restrictionen
dc.subjectintrauterine growth restrictionen
dc.subjectsmall for gestational age infanten
dc.titleMetabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis.en
dc.typeJournal Articleen
dc.description.versionPublisher Versionen
dc.type.subtypeJournal Article-
pubs.organisational-group/Organisation/COLLEGE OF LIFE SCIENCESen
Appears in Collections:Published Articles, College of Medicine, Biological Sciences and Psychology

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