Evidence map›Paper›PMID 36670300›Full record

ArticleScientific reports2023

Childbirth simulation to assess cephalopelvic disproportion and chances for failed labor in a French population.

Olivier Ami, Jean-Christophe Maran, Albert Cohen, Israel Hendler, Eric Zabukovek, Louis Boyer

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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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

6 authors at 3 institutions in 2 countries.

Olivier AmiRamsay Sante La Muette, 4 Rue de Sontay, 75116, Paris, France. olivier.ami@birthimaging.com.ORCID 0000-0001-5216-7492
Jean-Christophe MaranService de radiologie CHU Gabriel Montpied, Clermont Ferrand University Hospital, TGI -Institut Pascal, UMR 6602 UCA/CNRS/SIGMA Clermont Ferrand, Clermont Ferrand, France.
Albert CohenRéseau d'Imagerie Paris Nord, Paris, France.
Israel HendlerDepartment of Obstetrics and Gynecology, Sheba Medical Center, Tel Hashomer Affiliated to Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Eric ZabukovekClinique de l'Estrée, ELSAN, Stains, France.
Louis BoyerService de radiologie CHU Gabriel Montpied, Clermont Ferrand University Hospital, TGI -Institut Pascal, UMR 6602 UCA/CNRS/SIGMA Clermont Ferrand, Clermont Ferrand, France.
Centre National de la Recherche Scientifique · FRImaging, Brain, and Neuropsychiatry · FRTel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reducing failed labor and emergency cesarean section (CS) rates is an important goal. A childbirth simulation tool (PREDIBIRTH software and SIM37 platform) that evaluates a 5-min magnetic resonance imaging (MRI) assessment performed at 37 weeks of gestation was developed to enhance the consulting obstetrician's ability to predict the optimal delivery mode. We aimed to determine the potential value of this childbirth simulation tool in facilitating the selection of an optimal delivery mode for both mother and infant. A retrospective cohort study was performed on all patients referred by their obstetricians to our level 2 maternity radiology department between December 15, 2015 and November 15, 2016, to undergo MRI pelvimetry at approximately 37 weeks of gestation. The childbirth simulation software was employed to predict the optimal delivery mode based on the assessment of cephalopelvic disproportion. The prediction was compared with the actual outcome for each case. Including childbirth simulations in the decision-making process had the potential to reduce emergency CSs, inappropriately scheduled CSs, and instrumental vaginal deliveries by up to 30.1%, 20.7%, and 20.0%, respectively. Although the use of the simulation tool might not have affected the overall CS rate, consideration of predicted birthing outcomes has the potential to improve the allocation between scheduled CS and trial of labor. The routine use of childbirth simulation software as a clinical support tool when choosing the optimal delivery mode for singleton pregnancies with a cephalic presentation could reduce the number of emergency CSs, insufficiently justified CSs, and instrumental deliveries.

Indexed as

Cephalopelvic DisproportionCesarean SectionDelivery, ObstetricFemaleHumansParturitionPregnancyRetrospective Studies

Identifiers

PMID36670300
PMCPMC9859818
OpenAlexW4317569130

What OpenQuestion holds

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Registered trials

None linked

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.