Angiogenic factors and the risk of preeclampsia: A systematic review and meta-analysis.

PlGF. Preeclampsia sFLT-1 Angiogenic factors

Journal

International journal of reproductive biomedicine
ISSN: 2476-4108
Titre abrégé: Int J Reprod Biomed
Pays: Iran
ID NLM: 101679102

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 08 11 2017
revised: 25 01 2018
accepted: 12 09 2018
entrez: 23 8 2019
pubmed: 23 8 2019
medline: 23 8 2019
Statut: epublish

Résumé

The etiological nature of preeclampsia is heterogeneous. The use of biomarkers indices in early pregnancy helps to have appropriate stratification of pregnancies into high- and low risk for the purpose of choosing timely interventions. The aim of this systematic review was to determine the pathogenic role of soluble soluble fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PlGF) in the prediction of preeclampsia in women. We performed a systematic search of the international databases including PubMed, Scopus, and Web of Science until August 2017. The quality of included studies was assessed using the Newcastle-Ottawa Scale. The primary outcome in this review was preeclampsia. The statistical heterogeneity was assessed using the X Totally, 284 records were identified in the initial search and 15 records were finally included in the meta-analysis. The pooled odds ratios (ORs) for the association between the high level of sFlt-1 and low level of PlGF and subsequent development of preeclampsia among women were 5.20 (95% CI: 1.24-9.16) and 2.53 (95% CI: 1.33-3.75), respectively. The mean difference for sFlt-1 and PlGF in women with preeclampsia compared to controls was 1.15 (95% CI: 0.43-1.86) and -0.94 (95% CI: -1.37-0.52), respectively. According to the results from this meta-analysis, increased levels of sFlt-1 and reduced levels of PlGF predict the subsequent development of preeclampsia.

Sections du résumé

BACKGROUND BACKGROUND
The etiological nature of preeclampsia is heterogeneous. The use of biomarkers indices in early pregnancy helps to have appropriate stratification of pregnancies into high- and low risk for the purpose of choosing timely interventions.
OBJECTIVE OBJECTIVE
The aim of this systematic review was to determine the pathogenic role of soluble soluble fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PlGF) in the prediction of preeclampsia in women.
MATERIALS AND METHODS METHODS
We performed a systematic search of the international databases including PubMed, Scopus, and Web of Science until August 2017. The quality of included studies was assessed using the Newcastle-Ottawa Scale. The primary outcome in this review was preeclampsia. The statistical heterogeneity was assessed using the X
RESULTS RESULTS
Totally, 284 records were identified in the initial search and 15 records were finally included in the meta-analysis. The pooled odds ratios (ORs) for the association between the high level of sFlt-1 and low level of PlGF and subsequent development of preeclampsia among women were 5.20 (95% CI: 1.24-9.16) and 2.53 (95% CI: 1.33-3.75), respectively. The mean difference for sFlt-1 and PlGF in women with preeclampsia compared to controls was 1.15 (95% CI: 0.43-1.86) and -0.94 (95% CI: -1.37-0.52), respectively.
CONCLUSION CONCLUSIONS
According to the results from this meta-analysis, increased levels of sFlt-1 and reduced levels of PlGF predict the subsequent development of preeclampsia.

Identifiants

pubmed: 31435580
doi: 10.18502/ijrm.v17i1.3815
pmc: PMC6652157
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Déclaration de conflit d'intérêts

The authors declare that they have no conflict of interest.

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Auteurs

Yousef Veisani (Y)

Psychosocial Injuries Research Center, Ilam University of Medical Sciences, Ilam, Iran.

Ensiyeh Jenabi (E)

Pediatric Developmental Disorders Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.

Ali Delpisheh (A)

Department of Clinical Epidemiology, Ilam University of Medical Sciences, Ilam, Iran.

Salman Khazaei (S)

Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.

Classifications MeSH