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, Renato, Baker, Philip and Cecatti, Jose Guilherme (2019) Use of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women:Protocol for a systematic review and meta-analysis. BMJ Open, 9 (3). pp. 1-5. ISSN 2044-6055

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	biomarkers,metabolome,metabolomics,prediction,preterm birth,medicine(all),sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/2700
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	22 Jan 2026 16:30
Last Modified:	26 Jan 2026 01:07
URI:	https://ueaeprints.uea.ac.uk/id/eprint/101679
DOI:	10.1136/bmjopen-2018-026033

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