Evidence map›Paper›PMID 41788089›Full record

ArticleCureus2026

Pyometra Presenting as a Right-Lower-Quadrant Abdominal Mass With Right-Sided Bowel Dilatation on Abdominal Radiography: A Case Report.

Seena Sugathan, Matthew D Parkinson, Syed O Husain, Bushra Jamil

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Seena SugathanAcute Medicine, North Manchester General Hospital, Manchester, GBR.
Matthew D ParkinsonMedicine, North Manchester General Hospital, Manchester, GBR.
Syed O HusainGeneral Medicine, Manchester University NHS Foundation Trust, Manchester, GBR.
Bushra JamilGeneral Medicine, Manchester University NHS Foundation Trust, Manchester, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pyometra is an uncommon uterine infection that predominantly affects postmenopausal females. It can present with non-specific features and may at times mimic gastrointestinal pathology, delaying diagnosis. An 81-year-old female with multiple comorbidities and frailty presented to the emergency department with two weeks of poor oral intake and reduced mobility. She was treated as having sepsis of unclear source with suspected respiratory infection. Despite broad-spectrum intravenous antibiotics, she deteriorated clinically with persistently raised inflammatory markers. She developed abdominal discomfort, constipation, and then abdominal distension and right-sided abdominal tenderness. An abdominal X-ray showed dilated bowel loops on the right. Pelvic magnetic resonance imaging (MRI) demonstrated a markedly distended uterine cavity containing a large fluid collection with an air-fluid level and restricted diffusion, consistent with pyometra. Malignancy could not be excluded on imaging. The case was discussed with gynaecology and microbiology, and antibiotics were escalated. A best interests meeting concluded that definitive management with uterine drainage was too invasive given her frailty and unlikely tolerance. She was managed conservatively with intravenous antibiotics, with transient improvement in delirium and inflammatory markers. This case highlights pyometra as an important differential diagnosis in elderly women presenting with abdominal symptoms and bowel dilatation on imaging. Early pelvic imaging should be considered when sepsis persists without a clear source.

Indexed as

abdominal radiographyintestinal obstructionpostmenopausal womanpyometraright-lower-quadrant mass

Identifiers

PMID41788089
PMCPMC12959231

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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.