Evidence map›Paper›PMID 41409917›Full record

ArticleCureus2025

Conservative Management of Idiopathic Spontaneous Intraperitoneal Hemorrhage.

Christian John S Capirig, Shunsuke Kondo, Blake Kadomoto, Joshua J Garcia

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. 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

4 authors.

Christian John S CapirigInternal Medicine, University of Hawaii John A. Burns School of Medicine, Honolulu, USA.
Shunsuke KondoInternal Medicine, University of Hawaii John A. Burns School of Medicine, Honolulu, USA.
Blake KadomotoInternal Medicine, University of Hawaii John A. Burns School of Medicine, Honolulu, USA.
Joshua J GarciaInternal Medicine, University of Hawaii John A. Burns School of Medicine, Honolulu, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic spontaneous intraperitoneal hemorrhage (ISIH), also known as abdominal apoplexy, is a rare and life-threatening cause of acute abdomen that typically requires surgical or endovascular intervention. Conservative treatment is rarely reported, particularly in the setting of hemorrhagic shock. We describe a 59-year-old postmenopausal woman with no anticoagulant use who initially presented with nonspecific gastrointestinal symptoms and then developed hypotension, lactic acidosis, and a significant drop in hemoglobin. Computed tomography (CT) angiography revealed a large mesenteric hematoma with moderate hemoperitoneum and a small focus concerning for extravasation. Follow-up imaging showed no active bleeding, and the patient remained without peritoneal signs. She was managed conservatively in the intensive care unit with fluid resuscitation, brief vasopressor support, and blood transfusion. Her condition stabilized, and she was discharged within a week. Repeat imaging at three months showed complete resolution. This case demonstrates that in carefully selected patients with ISIH, conservative management can be safe and effective. Key considerations include hemodynamic stabilization after resuscitation, absence of peritonitis, no active bleeding on repeat imaging, and availability of close inpatient monitoring. A multidisciplinary approach may support non-operative treatment in situations where surgical or endovascular intervention is not immediately necessary.

Indexed as

abdominal apoplexycase reportconservative managementhemoperitoneumidiopathic spontaneous intraperitoneal hemorrhage

Identifiers

PMID41409917
PMCPMC12706498

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.