Evidence map›Paper›PMID 41757365›Full record

ArticleCase reports in women's health2026

Undiagnosed placenta accreta spectrum complicated by massive haemorrhage during mid-trimester medical termination of pregnancy: a case report.

Natalie Drever, Sunthra Shanmuga Lingam, Joanna Arnold

Abstract readCase Reports
In one paragraph

Article in Case reports in women's health, 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

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

1 citing paper in PubMed.

  1. 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

3 authors.

Natalie DreverJames Cook University, Cairns, Queensland, Australia.
Sunthra Shanmuga LingamCairns Hospital, Queensland, Australia.
Joanna ArnoldCairns Hospital, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Placenta accreta spectrum (PAS) is a well-recognised cause of severe obstetric haemorrhage in late pregnancy but is rarely encountered during abortion, particularly in the mid-trimester. Diagnosis in this setting is challenging, and unrecognised abnormal placentation may result in catastrophic maternal morbidity. We report the case of a 28-year-old multiparous woman with three prior caesareans who presented at 17 weeks of gestation with preterm prelabour rupture of membranes and placenta previa. Targeted mid-trimester ultrasound reviewed by a maternal-fetal medicine subspecialist demonstrated no sonographic features suggestive of PAS. Following counselling, medical termination of pregnancy was initiated using mifepristone and misoprostol. Uncontrolled bleeding led to timely transfer to the operating theatre for hysterotomy and management of haemorrhage. The procedure was complicated by sudden massive haemorrhage, haemodynamic collapse, and intraoperative cardiac arrest. Despite uterine evacuation and resuscitative measures, uncontrolled bleeding necessitated an emergency subtotal hysterectomy, complicated by dense vesicouterine adhesions and bladder injury. The patient survived following massive transfusion, intensive care admission, and multidisciplinary management. This case highlights the limitations of mid-trimester imaging in reliably excluding clinically significant PAS. It also underscores the potential for abrupt, life-threatening haemorrhage during medical termination of pregnancy in women with multiple previous caesarean deliveries. As caesarean rates rise, clearer guidance is needed regarding risk stratification, imaging pathways, and procedural planning for mid-trimester abortion to minimise maternal morbidity.

Indexed as

AbortionEmergency hysterectomyMaternal morbidityObstetric haemorrhagePlacenta accreta

Identifiers

PMID41757365
PMCPMC12934206

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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.