Evidence map›Paper›PMID 36523720›Full record

ArticleCureus2022

Abdominal Compartment Syndrome Due to Large Ovarian Cystadenoma: A Case Report.

Ghadah J Khormi, Raghd S Ageeli, Rahaf J Othathi, Sadeem M Bingasem, Mohammed Al Ghadeeb

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Ghadah J KhormiGeneral Practice, Jazan University, Jazan, SAU.
Raghd S AgeeliGeneral Practice, Jazan University, Jazan, SAU.
Rahaf J OthathiGeneral Practice, Jazan University, Jazan, SAU.
Sadeem M BingasemGeneral Practice, Jazan University, Jazan, SAU.
Mohammed Al GhadeebRadiology, King Fahad Hospital, Al-Hofuf, SAU.
King Fahad Hospital Hufūf · SAJazan University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abdominal compartment syndrome is a rare emergency condition characterized by the development of organ dysfunction due to increased intra-abdominal pressure. Gynecologic conditions are an uncommon etiology of abdominal compartment syndrome. We report a case of a 35-year-old woman who presented with severe abdominal pain and vomiting. The patient had a history of long-standing gastroesophageal reflux disease. On physical examination, the abdomen was distended and tense, suggestive of acute abdomen. Computed tomography revealed a large abdominopelvic cystic lesion, arising from the ovary, causing a significant pressure effect on the abdominal viscera. The patient's condition deteriorated and had an altered level of consciousness with hemodynamic instability. She was intubated and received inotropic support. Subsequently, a life-saving emergency surgical decompression was performed. The ovarian cyst was evacuated and yielded 10 liters of fluid. Histopathological examination confirmed the diagnosis of ovarian cystadenoma. The patient remained in the intensive care unit postoperatively and was discharged in a good condition after 14 days of hospitalization. The case emphasizes the importance of considering abdominal compartment syndrome in patients with a clinical picture of acute abdomen. Failure to recognize this condition can lead to multiorgan failure and death.

Indexed as

abdominal compartment syndromeabdominal painacute abdomencase reportdecompressive laparotomyintra-abdominal hypertension

Identifiers

PMID36523720
PMCPMC9744412
OpenAlexW4308784133

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.