Evidence map›Paper›PMID 40408104›Full record

ArticleJAMA network open2025

Dynamic Computed Tomography Findings as Indicators of Uterine Artery Embolization in Postpartum Hemorrhage.

Munekage Yamaguchi, Akihito Sagara, Yasunori Nagayama, Jun Morinaga, Yoshinori Yamanouchi, Shintaro Makino, Shigetaka Matsunaga, Hiroaki Tanaka, Junichi Hasegawa, Tomoaki Ikeda and 2 more

Abstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Imaging in the postpartum period.European journal of radiology open · 2026
    Article
  2. Article
  3. 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

12 authors.

Munekage YamaguchiDepartment of Obstetrics and Gynecology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Akihito SagaraDepartment of Obstetrics and Gynecology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Yasunori NagayamaDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Jun MorinagaDepartment of Clinical Investigation, Kumamoto University Hospital, Kumamoto, Japan.
Yoshinori YamanouchiDepartment of Clinical Investigation, Kumamoto University Hospital, Kumamoto, Japan.
Shintaro MakinoDepartment of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, Japan.
Shigetaka MatsunagaCenter for Maternal, Fetal and Neonatal Medicine, Saitama Medical Center, Saitama Medical University, Kawagoe, Japan.
Hiroaki TanakaDepartment of Obstetrics and Gynecology, Mie University Graduate School of Medicine, Tsu, Japan.
Junichi HasegawaDepartment of Obstetrics and Gynecology, St Marianna University School of Medicine, Kawasaki, Japan.
Tomoaki IkedaDepartment of Obstetrics and Gynecology, Mie University Graduate School of Medicine, Tsu, Japan.
Takashi SugiyamaDepartment of Obstetrics and Gynecology, School of Medicine, Ehime University, Matsuyama, Japan.
Eiji KondohDepartment of Obstetrics and Gynecology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Postpartum hemorrhage (PPH) remains the leading cause of maternal mortality globally. Although traditional management relies on blood loss quantification, identifying cases resistant to conventional treatment remains challenging, potentially delaying crucial interventions. Objective: To determine the prevalence and clinical implications of PPH that is resistant to treatment showing arterial contrast extravasation on dynamic computed tomography (CT) (PRACE) and its association with intervention requirements. Design, Setting, and Participants: A multicenter retrospective case-control study of PPH cases was conducted at 43 tertiary facilities across Japan, including 30 university hospitals, between January and December 2021. The study included patients with PPH who were either transported to the centers or who delivered there. Data analysis was performed from September 2023 to November 2024. Exposure: A diagnosis of PPH, defined as blood loss exceeding 2000 mL or requiring more than 10 units of red blood cell transfusion. Main Outcomes and Measures: The primary outcome was the prevalence of PRACE and its association with uterine artery embolization (UAE) requirement. Secondary outcomes included risk factors for severe coagulopathy (fibrinogen <150 mg/dL). Odds ratios (ORs) were estimated using multivariable logistic regression to evaluate the association between types of PPH (atonic uterus, tissue, and PRACE) and PPH severity. Results: Among 352 patients (median [IQR] age, 33.0 [30.0-37.0] years; 211 [60.0%] primiparous), 205 (58.2%) underwent CT scans, with PRACE detected in 58 (32.2%) of evaluable cases. Patients with PRACE had significantly higher total blood loss (median [IQR], 3455 [2000-5070] mL vs 2500 [1500-2650] mL) and greater UAE requirement (50 of 58 patients [86.2%] vs 35 of 122 patients [28.7%]) compared with patients without PRACE. PRACE was the primary factor associated with the need for UAE (OR, 27.74; 95% CI, 10.52-83.14). Conclusions and Relevance: In this retrospective case-control study of patients with severe PPH undergoing dynamic CT, PRACE represented a distinct and common pathology in severe PPH and was associated with the need for interventional procedures. These findings suggest that dynamic CT imaging should be considered as an essential diagnostic tool in managing treatment-resistant PPH cases.

Indexed as

Postpartum HemorrhageTomography, X-Ray ComputedUterine Artery EmbolizationAdultCase-Control StudiesFemaleHumansJapanPregnancyRetrospective StudiesRisk Factors

Identifiers

PMID40408104
PMCPMC12102700

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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.