Metabolomics for prediction of hypertension in pregnancy: a systematic review and meta-analysis protocol

dc.creatorJussara de Souza Mayrink Novais
dc.creatorDebora f Leite
dc.creatorm. l. Costa
dc.creatorJosé g. Cecatti
dc.date.accessioned2023-11-06T20:05:01Z
dc.date.accessioned2025-09-09T00:00:21Z
dc.date.available2023-11-06T20:05:01Z
dc.date.issued2020
dc.format.mimetypepdf
dc.identifier.doi10.1136/bmjopen-2020-040652
dc.identifier.issn20446055
dc.identifier.urihttps://hdl.handle.net/1843/60505
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofBMJ Open
dc.rightsAcesso Aberto
dc.subjectHypertension
dc.subjectMaternal Mortality
dc.subjectMetabolomics
dc.subject.otherHypertension
dc.subject.otherMaternal Mortality
dc.subject.otherMetabolomics
dc.titleMetabolomics for prediction of hypertension in pregnancy: a systematic review and meta-analysis protocol
dc.typeArtigo de periódico
local.citation.epage5
local.citation.issuee040652
local.citation.spage1
local.citation.volume10
local.description.resumoIntroduction: Hypertension is a very important cause of maternal morbidity and mortality worldwide, despite efforts on prevention. The lack of a tool to provide effective and early prediction of hypertension for a high- risk group may contribute to improving maternal and fetal outcomes. Metabolomics has figured out as a promised technology to contribute to the improvement of hypertension in pregnancy prediction.Methods and analysis: Our primary outcome is hypertensive disorders of pregnancy. A detailed systematic literature search will be performed in electronic databases PubMed, EMBASE, Scopus, Web of Science, Latin America and Caribbean Health Sciences Literature, Scientific Electronic Library Online, Health Technology Assessment and Database of Abstracts of Reviews of Effects using controlled terms ‘pre- eclampsia’, ‘hypertensive disorders’, ‘metabolomics’ and ‘prediction’ (and their variations). Studies from the latest 20 years will be included, except case reports, reviews, cross- sectional studies, letter to editors, expert opinions, commentaries papers or non human research. If possible, we will perform a meta analysis. Two peer- reviewers will independently perform the search and in cases of discordance, a third reviewer will be consulted.Ethics and dissemination As a systematic review, ethics approval is not required. The results of this review will present the current use and performance of metabolomics for predicting gestational hypertension. Such data could potentially guide future studies and interventions to improve existing prediction models.
local.publisher.countryBrasil
local.publisher.departmentMED - DEPARTAMENTO DE GINECOLOGIA OBSTETRÍCIA
local.publisher.initialsUFMG
local.url.externahttps://bmjopen.bmj.com/content/10/12/e040652

Arquivos

Pacote original

Agora exibindo 1 - 1 de 1
Carregando...
Imagem de Miniatura
Nome:
Metabolomics for prediction of pdfa.pdf
Tamanho:
269.35 KB
Formato:
Adobe Portable Document Format

Licença do pacote

Agora exibindo 1 - 1 de 1
Carregando...
Imagem de Miniatura
Nome:
License.txt
Tamanho:
978 B
Formato:
Plain Text
Descrição: