SynthesisBMC pregnancy and childbirth2023
Predictors of successful vaginal birth after a cesarean section in Ethiopia: a systematic review and meta-analysis.
Synthesis in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- FIGO good practice recommendations for vaginal birth after cesarean section.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025Guideline
- Trend, prevalence and predictors of successful vaginal birth after caesarean section in Ethiopia: a systematic review and meta-analysis.International health · 2024Pooled it
- "Predictors of failed vaginal birth after cesarean and associated maternal and neonatal outcomes: a case control study".BMC pregnancy and childbirth · 2026Article
- Article
- A cross-sectional analysis of caesarean sections according to Robson 10-group classification system: experience from a tertiary centre in Turkiye.BMC pregnancy and childbirth · 2025Article
- Prevalence of successful vaginal birth after caesarean section and its associated factors among women delivered in the university of Gondar comprehensive specialized referral hospital, Northwest Ethiopia.Contraception and reproductive medicine · 2025Article
- Investigating the Success Rate of Vaginal Delivery After Cesarean Section and Its Associated Factors in Afghan Women: Insights from a Maternity Hospital in Kabul.International journal of women's health · 2025Article
- Determinants of caesarean section use in Ghana: A trend analysis of 2003-2022 DHS data.PLOS global public health · 2025Article
- Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe rates of successful vaginal birth after previous cesarean section (VBAC) have been increasing with minimal complication. Successful vaginal birth after cesarean section improves maternal and fetal outcomes by shortening the length of hospital stay, avoiding abdominal surgery, decreasing the risk of infections and hemorrhage, and decreasing injury of the bladder and bowel. Despite a few single studies stating different predictors of successful VBAC, there is a lack of nationwide data to show the determinants of successful VBAC. Thus, this meta-analysis aimed to determine the predictors of successful VBAC in Ethiopia.
methodsA systematic literature search was performed from PubMed, Web of Sciences, EMBASE, CINAHL, and Google scholar until July 25, 2022. The quality of included studies was evaluated using the Joanna Briggs Institute (JBI) critical appraisal checklist. The analysis was executed using Stata 14 statistical software. Heterogeneity was evaluated statistically using Cochran's Q-statistic and quantified by the I
resultsWomen living in rural residence (AOR: 2.14; 95% CI: 1.01, 4.52), history of previous spontaneous vaginal delivery (AOR: 2.92; 95% CI: 2.02, 4.23), previous successful vaginal birth after previous cesarean section (AOR: 5.29; 95% CI: 2.20, 12.69), history of stillbirth (AOR: 1.57; 95% CI: 1.20, 2.04), cervical dilation of ≥ 4 cm at admission (AOR: 2.14; 95% CI: 1.27, 3.61), spontaneous ruptured membranes at admission (AOR: 1.32; 95% CI: 1.17, 1.48) were independent determinants of successful vaginal birth after previous cesarean section.
conclusionThe results of this meta-analysis showed that successful VBAC was influenced by past and present obstetric conditions and other predictors. Thus, it is recommended that obstetric care providers should emphasize those factors that lead to successful vaginal birth during counseling and optimal selection of women for the trial of labour after cesarean section. SYSTEMATIC REVIEW AND META-ANALYSIS REGISTRATION: PROSPERO CRD42022329567.
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