Evidence map›Paper›PMID 39104449›Full record

ArticleRadiology case reports2024

Primary caecal epiploic appendagitis mimicking acute appendicitis: A diagnostic dilemma of right lower abdominal pain.

Khadija Laasri, Zineb Izi, Yahya El Harras, Rayane Bekkaoui, Omar El Aoufir, Fatima Zahra Laamrani, Laila Jroundi

Abstract readCase Reports
In one paragraph

Article in Radiology case reports, 2024. 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

7 authors.

Khadija LaasriDepartment of Emergency Radiology. Ibn Sina University Hospital, Mohammed V University, Rabat, Morocco.
Zineb IziDepartment of Emergency Radiology. Ibn Sina University Hospital, Mohammed V University, Rabat, Morocco.
Yahya El HarrasDepartment of Emergency Radiology. Ibn Sina University Hospital, Mohammed V University, Rabat, Morocco.
Rayane BekkaouiDepartment of Emergency Radiology. Ibn Sina University Hospital, Mohammed V University, Rabat, Morocco.
Omar El AoufirDepartment of Emergency Radiology. Ibn Sina University Hospital, Mohammed V University, Rabat, Morocco.
Fatima Zahra LaamraniDepartment of Emergency Radiology. Ibn Sina University Hospital, Mohammed V University, Rabat, Morocco.
Laila JroundiDepartment of Emergency Radiology. Ibn Sina University Hospital, Mohammed V University, Rabat, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epiploic appendagitis is a benign and self-limiting condition that has garnered more recognition, particularly in preoperative settings, thanks to advancements in imaging techniques, notably computed tomography (CT). Its distinct radiologic features facilitate accurate diagnosis prior to surgery. Despite its unique characteristics, the clinical presentation of epiploic appendagitis often resembles that of various other intra-abdominal medical and surgical conditions, leading to potential confusion. Here, we present the case of a 37-year-old otherwise healthy woman who was diagnosed with primary epiploic appendagitis based on CT scan findings conducted initially for suspected appendicitis. The patient received successful conservative treatment. This paper seeks to highlight the importance of recognizing this clinical condition and its characteristic imaging features, aiming to prevent unnecessary hospitalizations, antibiotic treatments, and the associated morbidity and mortality linked with surgical interventions.

Indexed as

Abdominal computed tomography scanAbdominal painAppendicitisEpiploic appendagitis

Identifiers

PMID39104449
PMCPMC11299564

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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.