Evidence map›Paper›PMID 40901353›Full record

ReviewWorld journal of radiology2025

Radiological insights into diverticulitis: Clinical manifestations, complications, and differential diagnosis.

Mehmet Simsar, Yesim Y Yuruk, Olgun Sahin, Hilal Sahin

Abstract readReview
In one paragraph

Review in World journal of radiology, 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.

Mehmet SimsarDepartment of Radiology, University of Health Sciences, Izmir City Hospital, Izmir 35540, Türkiye.
Yesim Y YurukDepartment of Radiology, University of Health Sciences, Izmir Tepecik Training and Research Hospital, Izmir 35020, Türkiye.
Olgun SahinDepartment of Radiology, University of Health Sciences, Izmir City Hospital, Izmir 35540, Türkiye.
Hilal SahinDepartment of Radiology, University of Health Sciences, Izmir City Hospital, Izmir 35540, Türkiye. hilal.sahin1@sbu.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diverticulitis is an infection of the diverticular sacs protruding from the intestinal wall. It typically presents as elevated inflammatory markers and left lower quadrant abdominal pain. Although clinical symptoms and biomarkers are essential for diagnosis, imaging methods, particularly computed tomography (CT), are critical due to the inability to perform endoscopic procedures in the acute phase because of the risk of perforation. Various classification systems that include imaging findings have been developed. The most recent and widely accepted system is the Sartelli classification, which is endorsed by the World Society of Emergency Surgery. This classification describes stages of diverticulitis ranging from edematous bowel wall thickening and phlegmon in the adjacent mesentery to microperforation, localized or distant abscess formation, and generalized peritonitis with free fluid and air. Imaging findings are also pivotal in diagnosing and managing complications such as abscesses, pylephlebitis, fistulas, and gastrointestinal bleeding. Moreover, imaging can differentiate diverticulitis from infectious colitis, epiploic appendagitis, ischemic colitis, colorectal carcinoma, and inflammatory bowel disease. This review focuses on the radiological findings of diverticulitis. We specifically discuss CT imaging and emphasize its clinical manifestations, significant complications, and differential diagnosis.

Indexed as

AbscessComplicated diverticulitisComputed tomographyDiverticulitisImaging in diverticulitisPeritonitisSartelli classification

Identifiers

PMID40901353
PMCPMC12400287

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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.