Models for predicting vaginal birth after cesarean section: scoping review
- PMID: 39725898
- PMCID: PMC11673613
- DOI: 10.1186/s12884-024-07101-x
Models for predicting vaginal birth after cesarean section: scoping review
Abstract
Background: Women who are pregnant again after a prior cesarean section are faced with the choice between a vaginal trial and another cesarean section. Vaginal delivery is safer for mothers and babies, but face the risk of trial labor failure. Predictive models can evaluate the success rate of vaginal trial labor after cesarean section, which will help obstetricians and pregnant women choose the appropriate delivery method.
Objective: To review the existing prediction models of vaginal delivery after cesaean.
Methods: Seven databases, including CNKI, Wanfang Data, Chinese Science and Technology Periodical Database, China Biomedical Literature Database, PubMed, Embase, and Web of Science, were searched for studies on the predictive model of VBAC from inception to July 20, 2022. Two researchers independently screened the literature and extracted the data. The risk of bias and applicability of the included researches was evaluated using the Prediction model Risk of Bias Assessment Tool.
Results: Twenty-six studies that covered 26 models were included. The overall property of the included models was good, but validation of the included models was insufficient. The methodological quality of the included studies was generally low, with 3 studies rated as having a low risk of bias and 23 studies rated as having a high risk of bias. The main predictors in the models were the Bishop score, history of vaginal delivery, neonatal weight, maternal age, and BMI.
Conclusions: Although a variety of prediction models have been developed globally, the methodology of these studies has limitations and the models have not been adequately validated. In the future, more prospective and high-quality research is needed to develop visual models to serve clinical work more effectively and conveniently. Obstetricians or midwives could use predictive models to help a woman choose the right delivery method.
Keywords: Prediction model; Scoping review; TOLAC; Trial of labor after cesarean delivery; Vaginal birth after cesarean, VBAC.
© 2024. The Author(s).
Conflict of interest statement
Declarations. Ethics approval and consent to participate: Not Applicable. Consent for publication: All authors have been informed and agree to publication. Competing interests: The authors declare no competing interests.
Similar articles
-
Delivery for women with a previous cesarean: guidelines for clinical practice from the French College of Gynecologists and Obstetricians (CNGOF).Eur J Obstet Gynecol Reprod Biol. 2013 Sep;170(1):25-32. doi: 10.1016/j.ejogrb.2013.05.015. Epub 2013 Jun 28. Eur J Obstet Gynecol Reprod Biol. 2013. PMID: 23810846 Review.
-
Evaluation of factors that predict the success rate of trial of labor after the cesarean section.BMC Pregnancy Childbirth. 2021 Jul 24;21(1):527. doi: 10.1186/s12884-021-04004-z. BMC Pregnancy Childbirth. 2021. PMID: 34303355 Free PMC article.
-
[Influencing factors and antenatal assessment of the vaginal birth after cesarean section].Zhonghua Fu Chan Ke Za Zhi. 2019 Jun 25;54(6):369-374. doi: 10.3760/cma.j.issn.0529-567x.2019.06.003. Zhonghua Fu Chan Ke Za Zhi. 2019. PMID: 31262120 Chinese.
-
[Analysis of factors affecting vaginal birth after cesarean].Zhonghua Fu Chan Ke Za Zhi. 2016 Aug 25;51(8):576-80. doi: 10.3760/cma.j.issn.0529-567X.2016.08.005. Zhonghua Fu Chan Ke Za Zhi. 2016. PMID: 27561935 Chinese.
-
Vaginal birth after cesarean: new insights.Evid Rep Technol Assess (Full Rep). 2010 Mar;(191):1-397. Evid Rep Technol Assess (Full Rep). 2010. PMID: 20629481 Free PMC article. Review.
Cited by
-
Cesarean Delivery Trends in Conflict-Affected Settings: Prevalence, Predictors, and Outcomes at a Rural Referral Hospital in Yemen.Cureus. 2025 Apr 10;17(4):e82027. doi: 10.7759/cureus.82027. eCollection 2025 Apr. Cureus. 2025. PMID: 40352045 Free PMC article.
References
-
- Annessi E, Del Giovane C, Magnani L, Carossino E, Baldoni G, Battagliarin G, Fabio F. A modified prediction model for VBAC, in a European population. J Matern Fetal Neonatal Med. 2016;29(3):435–9. 10.3109/14767058.2014.1002767. - PubMed
-
- Antoine C, Young BK. Cesarean section one hundred years 1920–2020: the Good, the Bad and the Ugly. J Perinat Med. 2020;49(1):5–16. 10.1515/jpm-2020-0305. - PubMed
-
- Baranov A, Gratacos E, Vikhareva O, Figueras F. Validation of the prediction model for success of vaginal birth after cesarean delivery at the university hospital in Barcelona. J Matern Fetal Neonatal Med. 2017;30(24):2998–3003. 10.1080/14767058.2016.1271407. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical