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Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis
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 gro...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286473/ https://www.ncbi.nlm.nih.gov/pubmed/30530473 http://dx.doi.org/10.1136/bmjopen-2018-022743 |
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author | Leite, Debora Farias Batista Morillon, Aude-Claire Melo Júnior, Elias F Souza, Renato T Khashan, Ali S Baker, Philip N Kenny, Louise C Cecatti, José Guilherme |
author_facet | Leite, Debora Farias Batista Morillon, Aude-Claire Melo Júnior, Elias F Souza, Renato T Khashan, Ali S Baker, Philip N Kenny, Louise C Cecatti, José Guilherme |
author_sort | Leite, Debora Farias Batista |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6286473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-62864732018-12-26 Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis Leite, Debora Farias Batista Morillon, Aude-Claire Melo Júnior, Elias F Souza, Renato T Khashan, Ali S Baker, Philip N Kenny, Louise C Cecatti, José Guilherme BMJ Open Obstetrics and Gynaecology 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. BMJ Publishing Group 2018-12-06 /pmc/articles/PMC6286473/ /pubmed/30530473 http://dx.doi.org/10.1136/bmjopen-2018-022743 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY. Published by BMJ. 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/. |
spellingShingle | Obstetrics and Gynaecology Leite, Debora Farias Batista Morillon, Aude-Claire Melo Júnior, Elias F Souza, Renato T Khashan, Ali S Baker, Philip N Kenny, Louise C Cecatti, José Guilherme Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis |
title | Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis |
title_full | Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis |
title_fullStr | Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis |
title_full_unstemmed | Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis |
title_short | Metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis |
title_sort | metabolomics for predicting fetal growth restriction: protocol for a systematic review and meta-analysis |
topic | Obstetrics and Gynaecology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286473/ https://www.ncbi.nlm.nih.gov/pubmed/30530473 http://dx.doi.org/10.1136/bmjopen-2018-022743 |
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