Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis

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dc.contributor.author Leite, Debora Farias Batista
dc.contributor.author Morillon, Aude-Claire
dc.contributor.author Melo Júnior, Elias F.
dc.contributor.author Souza, Renato T.
dc.contributor.author Khashan, Ali S.
dc.contributor.author Baker, Philip N.
dc.contributor.author Kenny, Louise C.
dc.contributor.author Cecatti, José Guilherme
dc.date.accessioned 2019-06-24T09:19:46Z
dc.date.available 2019-06-24T09:19:46Z
dc.date.issued 2018-12-06
dc.identifier.citation Leite, D.F.B., Morillon, A.C., Júnior, E.F.M., Souza, R.T., Khashan, A.S., Baker, P.N., Kenny, L.C. and Cecatti, J.G., 2018. Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis. BMJ open, 8(12), (e022743) DOI: 10.1136/bmjopen-2018-022743 en
dc.identifier.startpage 1 en
dc.identifier.endpage 5 en
dc.identifier.issn 0959-8138
dc.identifier.uri http://hdl.handle.net/10468/8089
dc.identifier.doi 10.1136/bmjopen-2018-022743 en
dc.description.abstract Introduction 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.sponsorship Brazilian National Research Council (401636/2013-5); Bill and Melinda Gates Foundation (grant number OPP1107597-Grand Challenges Brazil: Reducing the burden of preterm birth, Fiotec number 05/2013); Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES) (88881.134095/2016-01, 88881.134095/2016-0) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher BMJ Publishing Group en
dc.relation.uri https://bmjopen.bmj.com/content/8/12/e022743
dc.rights © Author(s) (or their employer(s)) 2018. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:https://creativecommons.org/licenses/by/4.0/. en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.subject Fetal growth restriction en
dc.subject Pregnancy en
dc.subject Metabolomics en
dc.title Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Ali Khashan, Department of Epidemiology and Public Health, University College Cork, Cork, Ireland. +353-21-490-3000 Email: a.khashan@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Bill and Melinda Gates Foundation en
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder Coordenação de Aperfeiçoamento de Pessoal de Nível Superior en
dc.description.status Peer reviewed en
dc.identifier.journaltitle BMJ Open en
dc.internal.IRISemailaddress a.khashan@ucc.ie en
dc.identifier.articleid e022743 en
dc.relation.project PRETERM-SAMBA en
dc.identifier.eissn 1756-1833


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© Author(s) (or their employer(s)) 2018. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:https://creativecommons.org/licenses/by/4.0/. Except where otherwise noted, this item's license is described as © Author(s) (or their employer(s)) 2018. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:https://creativecommons.org/licenses/by/4.0/.
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