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Use of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women: protocol for a systematic review and meta-analysis
INTRODUCTION: Preterm birth (PTB) is the leading cause of neonatal mortality and short- and long-term morbidity. The aetiology and pathophysiology of spontaneous PTB (sPTB) are still unclear, which makes the identification of reliable and accurate predictor markers more difficult, particularly for u...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429842/ https://www.ncbi.nlm.nih.gov/pubmed/30837257 http://dx.doi.org/10.1136/bmjopen-2018-026033 |
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author | Souza, Renato T Galvão, Rafael Bessa Leite, Debora Farias Batista Passini Jr, Renato Baker, Philip Cecatti, Jose Guilherme |
author_facet | Souza, Renato T Galvão, Rafael Bessa Leite, Debora Farias Batista Passini Jr, Renato Baker, Philip Cecatti, Jose Guilherme |
author_sort | Souza, Renato T |
collection | PubMed |
description | INTRODUCTION: Preterm birth (PTB) is the leading cause of neonatal mortality and short- and long-term morbidity. The aetiology and pathophysiology of spontaneous PTB (sPTB) are still unclear, which makes the identification of reliable and accurate predictor markers more difficult, particularly for unscreened or asymptomatic women. Metabolomics biomarkers have been demonstrated to be potentially accurate biomarkers for many disorders with complex mechanisms such as PTB. Therefore, we aim to perform a systematic review of metabolomics markers associated with sPTB. Our research question is ‘What is the performance of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women?’ METHODS AND ANALYSIS: We will focus on studies assessing metabolomics techniques for predicting sPTB in asymptomatic pregnant women. We will conduct a comprehensive systematic review of the literature from the last 10 years. Only observational cohort and case-control studies will be included. Our search strategy will be carried out by two independent reviewers, who will scan title and abstract before carrying out a full review of the article. The scientific databases to be explored include PubMed, MedLine, ScieLo, EMBASE, LILACS, Web of Science, Scopus and others. ETHICS AND DISSEMINATION: This systematic review protocol does not require ethical approval. We intend to disseminate our findings in scientific peer-reviewed journal, the Preterm SAMBA study open access website, specialists’ conferences and to our funding agencies. PROSPERO REGISTRATION NUMBER: CRD42018100172. |
format | Online Article Text |
id | pubmed-6429842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-64298422019-04-05 Use of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women: protocol for a systematic review and meta-analysis Souza, Renato T Galvão, Rafael Bessa Leite, Debora Farias Batista Passini Jr, Renato Baker, Philip Cecatti, Jose Guilherme BMJ Open Obstetrics and Gynaecology INTRODUCTION: Preterm birth (PTB) is the leading cause of neonatal mortality and short- and long-term morbidity. The aetiology and pathophysiology of spontaneous PTB (sPTB) are still unclear, which makes the identification of reliable and accurate predictor markers more difficult, particularly for unscreened or asymptomatic women. Metabolomics biomarkers have been demonstrated to be potentially accurate biomarkers for many disorders with complex mechanisms such as PTB. Therefore, we aim to perform a systematic review of metabolomics markers associated with sPTB. Our research question is ‘What is the performance of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women?’ METHODS AND ANALYSIS: We will focus on studies assessing metabolomics techniques for predicting sPTB in asymptomatic pregnant women. We will conduct a comprehensive systematic review of the literature from the last 10 years. Only observational cohort and case-control studies will be included. Our search strategy will be carried out by two independent reviewers, who will scan title and abstract before carrying out a full review of the article. The scientific databases to be explored include PubMed, MedLine, ScieLo, EMBASE, LILACS, Web of Science, Scopus and others. ETHICS AND DISSEMINATION: This systematic review protocol does not require ethical approval. We intend to disseminate our findings in scientific peer-reviewed journal, the Preterm SAMBA study open access website, specialists’ conferences and to our funding agencies. PROSPERO REGISTRATION NUMBER: CRD42018100172. BMJ Publishing Group 2019-03-04 /pmc/articles/PMC6429842/ /pubmed/30837257 http://dx.doi.org/10.1136/bmjopen-2018-026033 Text en © Author(s) (or their employer(s)) 2019. 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 Souza, Renato T Galvão, Rafael Bessa Leite, Debora Farias Batista Passini Jr, Renato Baker, Philip Cecatti, Jose Guilherme Use of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women: protocol for a systematic review and meta-analysis |
title | Use of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women: protocol for a systematic review and meta-analysis |
title_full | Use of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women: protocol for a systematic review and meta-analysis |
title_fullStr | Use of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women: protocol for a systematic review and meta-analysis |
title_full_unstemmed | Use of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women: protocol for a systematic review and meta-analysis |
title_short | Use of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women: protocol for a systematic review and meta-analysis |
title_sort | use of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women: protocol for a systematic review and meta-analysis |
topic | Obstetrics and Gynaecology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429842/ https://www.ncbi.nlm.nih.gov/pubmed/30837257 http://dx.doi.org/10.1136/bmjopen-2018-026033 |
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