Evidence map›Paper›PMID 35822244›Full record

ArticleActa obstetricia et gynecologica Scandinavica2022

Percreta score to differentiate between placenta accreta and placenta percreta with ultrasound and MR imaging.

Flore-Anne Pain, Anthony Dohan, Gilles Grange, Louis Marcellin, Joëlle Uzan-Augui, François Goffinet, Philippe Soyer, Vassilis Tsatsaris

Open access · diamondAbstract read
In one paragraph

Article in Acta obstetricia et gynecologica Scandinavica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Maternal death due to placenta percreta: a case report study.International journal of emergency medicine · 2026
    Article
  5. Article
  6. Review
  7. Article
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

8 authors at 1 institution in 1 country.

Flore-Anne PainDepartment of Gynecology & Obstetrics, FHU PREMA, Cochin Hospital, Paris, France.ORCID 0000-0002-1280-1847
Anthony DohanFaculty of Medicine, Université Paris Centre, Paris, France.
Gilles GrangeDepartment of Gynecology & Obstetrics, FHU PREMA, Cochin Hospital, Paris, France.
Louis MarcellinDepartment of Gynecology & Obstetrics, FHU PREMA, Cochin Hospital, Paris, France.
Joëlle Uzan-AuguiDepartment of Radiology, Cochin Hospital, Paris, France.
François GoffinetDepartment of Gynecology & Obstetrics, FHU PREMA, Cochin Hospital, Paris, France.
Philippe SoyerFaculty of Medicine, Université Paris Centre, Paris, France.
Vassilis TsatsarisDepartment of Gynecology & Obstetrics, FHU PREMA, Cochin Hospital, Paris, France.ORCID 0000-0002-7650-6660
Hôpital Cochin · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe objective of this study was to assess the performance of ultrasound and magnetic resonance imaging (MRI) features in helping to classify the type of placenta accreta spectrum (PAS; accreta/increta vs percreta), alone or combined in a predictive score. MATERIAL AND

methodsWe conducted a retrospective study in 82 pregnant women with PAS who underwent ultrasound and MRI examination of the pelvis before delivery (from an initial cohort of 185 women with PAS). We estimated the sensitivity, specificity and accuracy of MRI and ultrasound in the diagnosis of the type of PAS. We analyzed cesarean and imaging features using univariable logistic regression analysis. We constructed a nomogram to predict the risk of placenta percreta and validated it with bootstrap resampling, then used receiver operating characteristic curves to assess the performance of the model in distinguishing between placenta percreta and placenta accreta/increta.

resultsAmong the 82 patients, 29 (35%) had placenta accreta/increta and 53 (65%) had placenta percreta. The best features to discriminate between placenta accreta/increta and placenta percreta with ultrasound were increased vascularization at the uterine serosa-bladder wall interface (odds ratio [OR] 7.93; 95% confidence interval [CI] 2.78-24.99; p < 0.01) and the number of lacunae without a hyperechogenic halo (OR 1.36; 95% CI 1.14-1.67; p = 0.012). Concerning MRI markers, heterogeneous placenta (OR 12.89; 95% CI 3.05-89.16; p = 0.002), dark intraplacental bands (OR 12.89; 95% CI 3.05-89.16; p = 0.002) and bladder wall interruption (OR 15.89; 95% CI 4.78-73.33; p < 0.001) had a higher OR in discriminating placenta accreta/increta from placenta percreta. The nomogram yielded areas under the curve of 0.841 (95% CI 0.754-0.927) and 0.856 (95% CI 0.767-0.945), after bootstrap resampling, for the accurate prediction of placenta percreta.

conclusionsThe nomogram we developed to predict the risk of placenta percreta among patients with PAS had good discriminative capabilities. This performance and its impact on maternal morbidity should be confirmed by future prospective studies.

Indexed as

Placenta AccretaFemaleHumansMagnetic Resonance ImagingPlacentaPregnancyProspective StudiesRetrospective StudiesUltrasonography, Prenatalabnormal placentationmagnetic resonance imagingplacenta accretaplacenta accreta spectrumplacenta incretaplacenta percretaultrasound

Identifiers

PMID35822244
PMCPMC9812204
OpenAlexW4285396291

What OpenQuestion holds

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Registered trials

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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.