Evidence map›Paper›PMID 41606285›Full record

ArticleArchives of gynecology and obstetrics2026

Success rates of trial of labor after cesarean delivery: the impact of prior vaginal deliveries on outcomes.

Yaara Bashan, Elior Shalev Maman, Ron Rosenberg, Yael Yekel, Amir Weintraub, Nir Ram Duvdevani, Yael Pasternak

Abstract read
In one paragraph

Article in Archives of gynecology and obstetrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Yaara BashanThe Adelson School of Medicine, Ariel University, HaRav Yisha'ayahu Meshorer 22, Petach Tikva, Israel. yaaraschnirer@gmail.com.
Elior Shalev MamanThe Adelson School of Medicine, Ariel University, HaRav Yisha'ayahu Meshorer 22, Petach Tikva, Israel.
Ron RosenbergThe Adelson School of Medicine, Ariel University, HaRav Yisha'ayahu Meshorer 22, Petach Tikva, Israel.
Yael YekelThe Adelson School of Medicine, Ariel University, HaRav Yisha'ayahu Meshorer 22, Petach Tikva, Israel.
Amir WeintraubThe Adelson School of Medicine, Ariel University, HaRav Yisha'ayahu Meshorer 22, Petach Tikva, Israel.
Nir Ram DuvdevaniThe Adelson School of Medicine, Ariel University, HaRav Yisha'ayahu Meshorer 22, Petach Tikva, Israel.
Yael PasternakThe Adelson School of Medicine, Ariel University, HaRav Yisha'ayahu Meshorer 22, Petach Tikva, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate the success rates and risks of vaginal birth after cesarean delivery (VBAC) based on the number of prior successful VBACs.

methodsA retrospective cohort study of women with one cesarean section in the past who attempted vaginal delivery between 2013 and 2022, using data from our Medical Center registry. Outcomes were compared based on the number of prior successful VBACs.

resultsAmong 2912 deliveries meeting the eligibility criteria, the success rate of VBAC increased with the number of prior VBACs: 73.2% for those with no prior VBAC, rising to 92.3%, 94.7%, 94.0%, and 97.0% for individuals with 1, 2, 3, 4, and 5 or more prior VBACs, respectively. The history of at least one prior VBAC was associated with a 5.17-fold higher likelihood of achieving VBAC success. However, no significant differences in success rates were observed between groups with higher numbers of prior VBACs (≥ 2) compared to individuals with only one prior VBAC. In addition, the duration of hospitalization for both mother and neonate was longer in cases with no prior VBAC history. There was also a higher risk of requiring blood transfusion in the group without a prior history of VBAC.

conclusionsWomen with prior successful VBAC have a high likelihood of achieving another successful VBAC. After two prior VBACs, the success rate remains stable. In addition, women with one or more previous VBACs experience a reduced risk of blood transfusion and shorter hospitalization durations for both the mother and newborn.

Indexed as

Trial of LaborVaginal Birth after CesareanAdultFemaleHumansInfant, NewbornLength of StayPregnancyPregnancy OutcomeRegistriesRetrospective StudiesCesarean delivery (CD)DystociaTOLAC (trial of labor after cesarean)Uterine ruptureVaginal birth after cesarean delivery (VBAC)

Identifiers

PMID41606285
PMCPMC12852299

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.