Evidence map›Paper›PMID 39902314›Full record

ArticleEClinicalMedicine2025

Inter-pregnancy interval and uterine rupture during a trial of labour after one previous caesarean delivery and no previous vaginal births: a retrospective population-based cohort study.

Pejman Adily, Travis Bettison, Mark Lauer, Rajit Narayan, Adam Mackie, Hala Phipps, Vincenzo Berghella, Marjan M Haghighi, Katelyn Perren, George Johnson and 1 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Pejman AdilySydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.
Travis BettisonRoyal Prince Alfred Hospital Women and Babies, Sydney, Australia.
Mark LauerSydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.
Rajit NarayanRoyal Prince Alfred Hospital Women and Babies, Sydney, Australia.
Adam MackieRoyal Prince Alfred Hospital Women and Babies, Sydney, Australia.
Hala PhippsSydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.
Vincenzo BerghellaSidney Kimmel Medical College of Thomas Jefferson University, Philadelphia, PA, USA.
Marjan M HaghighiSydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.
Katelyn PerrenSydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.
George JohnsonSydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.
Bradley de VriesSydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Short interpregnancy interval (IPI) following caesarean delivery is associated with uterine rupture in subsequent pregnancies. However, the interval required to minimise this risk is unknown. We investigated how the interval between pregnancies and induction or augmentation of labour affect the likelihood of uterine rupture among parturients with one previous livebirth by caesarean delivery who had a subsequent trial of labour. Methods: In this population-based cohort study, we used data from U.S National Vital Statistics System from 2011 to 2021. Multiple pregnancies and births of infants with congenital abnormalities were excluded. A linear spline logistic regression with one knot was used to assess the relationship between uterine rupture and interpregnancy interval for spontaneous and for induced/augmented labours. Multivariable logistic regression was performed with multiple imputation and stepwise backward elimination to adjust for maternal demographic and clinical factors including maternal age, height, and BMI and gestational age. The predicted risk of uterine rupture was tabulated for interpregnancy intervals between zero and 21 months. Adverse outcomes were compared between labours with and without uterine rupture. Findings: We examined 491,998 trials of labour among parturients with one previous livebirth by caesarean delivery and no previous vaginal births. The odds ratio (OR) of uterine rupture per three months interpregnancy interval was 0.91 (95% CI 0.88-0.94) between zero and 21 months after adjusting for confounders, with no further change in risk detected beyond 21 months. The OR was 2.51 (95% CI 2.27-2.78) for induced or augmented labours compared with spontaneous labours. Other factors associated with uterine rupture included older maternal age, shorter maternal height, more advanced gestational age (from 35 to 43 weeks), and heavier birthweight. Predicted rates of uterine rupture ranged from 0.36% at zero to 0.19% at 21 months' interpregnancy interval for spontaneous labours and from 0.91% to 0.47% for induced/augmented labours for parturients with a typical clinical and demographic background. When uterine rupture occurred, the rates of unplanned hysterectomy, intrapartum or neonatal death, and neonatal seizures were 4.0% (95% CI 3.2-5.1%), 3.7% (95% CI 2.7-5.1%), and 2.6% (95% CI 1.8-3.3%) respectively. Interpretation: The risk of uterine rupture progressively decreases as IPI increases until about 21 months and then stabilises. Counselling should advise that for women choosing between a planned TOLAC or a planned caesarean delivery after one previous caesarean delivery and no previous vaginal births waiting until 21 months or longer after a prior low transverse caesarean delivery might minimise the risk of uterine rupture. The absolute risk of certain serious maternal and fetal/neonatal complications such as unplanned hysterectomy and perinatal death is low. Funding: No funding.

Indexed as

CaesareanCaesarean sectionInterpregnancy intervalTrial of labour after caesareanUterine ruptureVaginal birth after

Identifiers

PMID39902314
PMCPMC11788787

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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.