Evidence map›Paper›PMID 39356049›Full record

ArticleActa obstetricia et gynecologica Scandinavica2025

Prenatal detection of placenta accreta spectrum using a sonographic checklist.

Helena C Bartels, Jennifer M Walsh, Stephen Carroll, Paul Downey, Donal J O'Brien, Fionnuala M McAuliffe, Clare C'Connor, Claire Thompson, Jennifer Donnelly, Donal J Brennan and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Acta obstetricia et gynecologica Scandinavica, 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

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

2 citing papers in PubMed.

  1. Article
  2. Prenatal detection of placenta accreta spectrum using a sonographic checklist.Acta obstetricia et gynecologica Scandinavica · 2025
    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

11 authors.

Helena C BartelsDepartment of Fetal Medicine, National Maternity Hospital, Dublin, Ireland.ORCID 0000-0002-6470-9364
Jennifer M WalshDepartment of Fetal Medicine, National Maternity Hospital, Dublin, Ireland.
Stephen CarrollDepartment of Fetal Medicine, National Maternity Hospital, Dublin, Ireland.
Paul DowneyUCD Perinatal Research Centre, University College Dublin, National Maternity Hospital, Dublin, Ireland.
Donal J O'BrienDepartment of UCD Obstetrics and Gynaecology, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.
Fionnuala M McAuliffeDepartment of Fetal Medicine, National Maternity Hospital, Dublin, Ireland.ORCID 0000-0002-3477-6494
Clare C'ConnorDepartment of Fetal Medicine, National Maternity Hospital, Dublin, Ireland.
Claire ThompsonUniversity College Dublin Gynaecological Oncology Group (UCD-GOG), Mater Misericordiae University Hospital and St. Vincent's University Hospital, Dublin, Ireland.
Jennifer DonnellyRotunda Hospital, Dublin, Ireland.
Donal J BrennanUniversity College Dublin Gynaecological Oncology Group (UCD-GOG), Mater Misericordiae University Hospital and St. Vincent's University Hospital, Dublin, Ireland.
Siobhan M CorcoranDepartment of Fetal Medicine, National Maternity Hospital, Dublin, Ireland.

Funding

National Maternity Hospital medical fund
6 · The paper itself

Abstract

introductionThe European Working Group for Abnormally Invasive Placenta proposed a checklist of ultrasound features for the antenatal detection of placenta accreta spectrum (PAS). This study aims to assess the performance of the checklist in identifying histopathologically confirmed PAS cases in a cohort with a high pre-test probability of PAS, and identify if particular features are associated with PAS. MATERIAL AND

methodsThis is a prospective multi-site cohort study conducted between 2018 and 2023. Consecutive patients who underwent ultrasound assessment for suspicion of PAS were included, and the sonographic checklist was completed at the time of ultrasound. Cases were defined as PAS where they had intraoperative findings as described by the International Federation of Gynecology and Obstetrics (FIGO) grading, and histopathological findings for hysterectomy and myometrial resection cases. All non-PAS cases in this study had placenta previa and at least one prior cesarean delivery.

resultsSeventy-eight participants met inclusion criteria, of whom 63 (80.7%) were diagnosed with PAS. Cesarean hysterectomy was performed in 49 cases (62.8%). Overall, third-trimester ultrasound performed at a median gestational age of 32 weeks (IQR 30-34 weeks) had a sensitivity of 0.84 (95% CI 0.73 to 0.92) and specificity of 0.73 (95% CI 0.45 to 0.92) for detecting PAS, with a positive and negative likelihood ratio of 3.15 (95% CI 1.35 to 7.35) and 0.22 (95% CI 0.11 to 0.41), respectively. Features most associated with PAS were abnormal placental lacunae (Odds Ratio [OR] 5.40 [95% CI 1.61 to 18.03] and myometrial thinning OR 6.87 [95% CI 1.93 to 24.4]). While many of the ultrasound features seen in PAS were also present in cases of placenta previa with prior Cesarean section, the median (IQR) number of features present in PAS cases was significantly higher than in the non-PAS placenta previa group (six features [3-8] vs. two features [0-3] p = 0.001). No case of non-PAS placenta previa had more than five features present.

conclusionsThe use of a standardized sonographic checklist had a high sensitivity and good specificity for the detection of PAS in this prospective cohort of well-classified PAS cases.

Indexed as

ChecklistPlacenta AccretaUltrasonography, PrenatalAdultCesarean SectionFemaleHumansHysterectomyPregnancyProspective StudiesSensitivity and Specificityplacenta accreta spectrumplacenta previaprenatal diagnosisultrasound

Identifiers

PMID39356049
PMCPMC12087432

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.