Evidence map›Paper›PMID 40054897›Full record

ArticleJACC. Case reports2025

Giant Coronary Pseudoaneurysm Due to Behçet's Disease.

Zafer Sattouf, Bilal Ali, Sanjana Datla, Matthew Nied, Sherin Sallam, Akram Shalaby, Meisam Moghbelli, Joseph Sabik, Heather L Gornik

Abstract readCase Reports
In one paragraph

Article in JACC. Case reports, 2025. 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

9 authors.

Zafer SattoufDepartment of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Bilal AliDepartment of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Sanjana DatlaDepartment of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Matthew NiedDepartment of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Sherin SallamHarrington Heart & Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Akram ShalabyDepartment of Pathology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Meisam MoghbelliHarrington Heart & Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Joseph SabikDepartment of Surgery, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Heather L GornikDepartment of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA; Harrington Heart & Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA. Electronic address: Heather.Gornik@uhhospitals.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Behçet's disease (BD) is a systemic vasculitis which manifests through diverse clinical manifestations, including oral and genital ulcers, and ocular lesions, and has potential for neurologic, gastrointestinal, and cardiovascular involvement. Coronary artery pseudoaneurysm is a very rare complication of BD. This paper presents the case of a giant coronary pseudoaneurysm presenting with acute coronary syndrome. Immunosuppressive therapy and coronary artery bypass grafting remain the most common treatment approach and are associated with excellent outcomes in surgically suitable candidates. This paper presents a case of a 27-year-old man with a history of BD presenting with acute coronary syndrome due to giant saccular coronary pseudoaneurysm.

Indexed as

Acute coronary syndromeBehçet’s diseasecoronary artery aneurysmST-segment elevation MI

Identifiers

PMID40054897
PMCPMC11911837

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.