Evidence map›Paper›PMID 41964133›Full record

Observational studyActa obstetricia et gynecologica Scandinavica2026

Prediction of preterm birth using 3D volume cesarean scar morphology in pregnant women with previous advanced labor cesarean delivery.

Maria Ivan, Amrita Banerjee, Ekaterina Pazukhina, UCLH Preterm Birth Clinic Research Group, Oleg Blyuss, Alexey Zaikin, Davor Jurkovic, Anna David, Raffaele Napolitano

Abstract readObservational Study
In one paragraph

Observational study in Acta obstetricia et gynecologica Scandinavica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

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

9 authors.

Maria IvanFetal Medicine Unit, University College London Hospital NHS Foundation Trust, London, UK.ORCID 0009-0008-4204-661X
Amrita BanerjeeFetal Medicine Unit, University College London Hospital NHS Foundation Trust, London, UK.ORCID 0000-0002-0456-0828
Ekaterina PazukhinaWolfson Institute of Population Health, Queen Mary University of London, London, UK.
UCLH Preterm Birth Clinic Research Group
Oleg BlyussWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Alexey ZaikinElizabeth Garett Anderson Institute for Women's Health, University College London, London, UK.
Davor JurkovicElizabeth Garett Anderson Institute for Women's Health, University College London, London, UK.
Anna DavidFetal Medicine Unit, University College London Hospital NHS Foundation Trust, London, UK.ORCID 0000-0002-0199-6140
Raffaele NapolitanoFetal Medicine Unit, University College London Hospital NHS Foundation Trust, London, UK.ORCID 0000-0001-9434-7678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to develop a multiparameter predictive model for spontaneous preterm birth in pregnant women with a history of advanced labor cesarean delivery, using cesarean scar ultrasound characteristics. MATERIAL AND

methodsThis prospective observational cohort study included pregnant women with a history of advanced labor cesarean delivery (≥8 cm cervical dilatation) at University College London Hospitals (August 2019-August 2023). Participants underwent transvaginal ultrasound using validated protocols for cesarean scar evaluation. Measurements included scar distance to the internal os, niche dimensions (length, depth, and width), residual and adjacent myometrial thickness, and 3D niche and cervical volumes. Predictive models for spontaneous preterm birth and short cervical length ≤25 mm were developed using multivariable logistic regression, adjusting for potential confounders.

resultsDuring the surveillance period, 12.6% (21/166) of women developed a short cervix, and 23.5% (39/166) received preterm birth prophylactic interventions. Spontaneous preterm birth rate was 7.8% (13/166) <37 weeks and 4.8% (8/166) <34 weeks. The cesarean scar was visualized in 89.8% (149/166), with a niche identified in 48.3% (72/149) of women. Scars positioned at or caudal to the internal cervical os were associated with significantly higher risks of short cervix and/or spontaneous preterm birth compared to scars cranial to the internal os (aOR 5.26, 95% CI 1.59, 17.32, p = 0.006; aOR 5.00, 95% CI 1.10, 22.78, p = 0.037, respectively). Traditional predictive models based on cervical length and obstetric history demonstrated modest performance. Scar distance to the internal os consistently emerged as the strongest independent predictor of short cervix across all models (p < 0.001-0.005). Models incorporating 3D ultrasound scar parameters improved predictive accuracy, with the final model achieving AUC 0.91 (95% CI 0.81, 0.98) and 91% (95% CI 0.73, 1.00) sensitivity at FPR of 25% for spontaneous preterm birth. For short cervix prediction, the AUC was 0.89 (95% CI 0.80, 0.96), at 88% (95% CI 0.62, 1.00) sensitivity for the same FPR.

conclusions3D transvaginal ultrasound assessment of cesarean scar morphology was associated with improved prediction of spontaneous preterm birth in pregnant women with a history of advanced labor cesarean delivery; however, scar position relative to the internal os remained the strongest individual predictor.

Indexed as

Cesarean SectionCicatrixPremature BirthUltrasonography, PrenatalAdultFemaleHumansImaging, Three-DimensionalPredictive Value of TestsPregnancyProspective Studies3D ultrasoundcesareannichepreterm birthscarvolume

Identifiers

PMID41964133
PMCPMC13191803

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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.