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Record W4417265987 · doi:10.1016/j.xagr.2025.100595

Disparities in planned and successful vaginal delivery after a cesarean delivery by body mass index: a population-based cohort study

2025· article· en· W4417265987 on OpenAlexafffundabout
Emily Gray, Mary M. Brown, Christy Woolcott, John Fahey, Victoria M. Allen, Heather Scott, Sarka Lisonkova, Azar Mehrabadi

Bibliographic record

VenueAJOG Global Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsB.C. Women's Hospital & Health CentreCancer Care Nova ScotiaChildren's & Women's Health Centre of British ColumbiaUniversity of New BrunswickDalhousie University
FundersResearch Nova Scotia
KeywordsVaginal deliveryCesarean deliveryBody mass indexCohort studyObesityHealth care deliveryCohort

Abstract

fetched live from OpenAlex

Background: Previous literature suggests that pregnant individuals with obesity have fewer planned and successful vaginal births following a previous cesarean delivery. Concern is growing that discrimination based on body mass index (BMI) and comorbidities associated with BMI, rather than BMI itself, are primarily responsible for these findings. Objective: To describe disparities in planning and having a successful vaginal delivery after a previous cesarean delivery by BMI status. Study Design: This population-based cohort study included all singleton pregnancies ≥37 weeks' gestation from 2003 to 2021 in Nova Scotia, Canada, with one previous cesarean and without contraindications for a trial of labor. Adjusted risk ratios (aRRs) and 95% confidence intervals (CIs) were estimated using Poisson regression, incorporating inverse probability weighting to account for confounding by demographic characteristics and co-morbidities. Results: Among 12 646 deliveries, approximately 31% experienced pre-pregnancy obesity. Of those with obesity, 34% planned a vaginal birth compared to 44% of those without obesity (aRR: 0.82, 95% CI: 0.78, 0.86). Higher BMI classification was associated with a reduced likelihood of planned vaginal delivery: class I: 37%, aRR: 0.88 (95% CI: 0.82, 0.94); class II: 32%, aRR: 0.81 (95% CI: 0.74, 0.89); class III: 26%, aRR 0.65 (95% CI: 0.56, 0.75). Among those planning a vaginal delivery, those with obesity were less likely to have a vaginal birth compared to those without obesity (57% vs 69%; aRR: 0.87, 95% CI: 0.82, 0.92); successful vaginal birth was less likely as BMI increased. Conclusion: Obesity was associated with reduced planned and successful vaginal delivery after a previous cesarean delivery and the association was most pronounced at higher BMI after accounting for demographic characteristics and co-morbidities. While discrimination based on BMI was unmeasured, notable disparities in planning and having a vaginal delivery by BMI suggest that training for health care providers and the availability of appropriate infrastructure may help optimize care for this population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.296
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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