Journal Article
Meta-Analysis
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The impact of a trial of labor after cesarean versus elective repeat cesarean delivery: A meta-analysis.

Medicine (Baltimore) 2024 Februrary 17
BACKGROUND: The increasing global incidence of cesarean section has prompted efforts to reduce cesarean delivery rates. A trial of labor after cesarean (TOLAC) has emerged as an alternative to elective repeat cesarean delivery (ERCD) for women with a prior cesarean delivery. However, the available evidence on the comparative outcomes of these 2 options remains inconsistent, primarily due to varying advantages and risks associated with each. Our meta-analysis aims to compare the maternal-neonatal results in TOLAC and ERCD in women with prior cesarean deliveries.

METHODS: A comprehensive search was performed in PubMed, Embase, Cochrane library databases up to September,2022 to identity studies evaluating perinatal outcomes in women who underwent TOLAC compared to ERCD following a previous cesarean delivery. The included studies were subjected to meta-analysis using RevMan 5.3 software to assess the overall findings.

RESULTS: A total of 13 articles were included in this meta-analysis. Statistically significant differences were identified in the rate of uterine rupture (OR = 2.01,95%CI = 1.48-2.74, P < .00001) and APGAR score < 7 at 5 minutes (OR = 2.17,95%CI = 1.69-2.77, P < .00001) between the TOLAC and ERCD groups. However, no significant differences were observed in the rates of hysterectomy, maternal blood transfusion, postpartum infection, postpartum hemorrhage and neonatal intensive care unit (P ≥ .05) admission between the 2 groups.

CONCLUSIONS: Our analysis revealed that TOLAC is associated with a higher risk of uterine rupture and lower incidence APGAR score < 7 at 5 minutes compared to ERCD. It is vital to consider predictive factors when determining the appropriate mode of delivery in order to ensure optimal pregnancy outcomes. Efforts should be made to identify the underlying causes of adverse outcomes and implement safety precautions to select suitable participants and create safe environments for TOLAC.

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