Evidence map›Paper›PMID 40541335›Full record

ArticleJACC. Case reports2025

Missed Kawasaki Disease Mimicking as a Giant Coronary Aneurysm Mimicking an Intracardiac Mass.

Khalid Shakfeh, Mohamed Abdul Qader, Mohamad Hekmat Sukkari, Abhinav Karan, Emil Missov, Gladys Velarde

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

6 authors.

Khalid ShakfehDepartment of Cardiology, University of Florida-Jacksonville, Jacksonville, Florida, USA. Electronic address: kshakfeh1@gmail.com.
Mohamed Abdul QaderDepartment of Cardiology, University of Florida-Jacksonville, Jacksonville, Florida, USA.
Mohamad Hekmat SukkariDepartment of Cardiology, University of Florida-Jacksonville, Jacksonville, Florida, USA.
Abhinav KaranDepartment of Cardiology, University of Florida-Jacksonville, Jacksonville, Florida, USA.
Emil MissovDepartment of Cardiovascular Sciences, East Carolina Heart Institute, East Carolina University, Greenville, North Carolina, USA.
Gladys VelardeDepartment of Cardiology, University of Florida-Jacksonville, Jacksonville, Florida, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKawasaki disease with giant coronary aneurysms mimicking an intracardiac mass is an uncommon diagnosis in adult patients. CASE SUMMARY: A 56-year-old man with chronic chest pain syndrome presented with a sudden onset of weakness. Evaluation for a stroke revealed a large mass in the right atrium that measured approximately 2.2 cm × 2.0 cm immediately above the tricuspid valve annulus and adjacent to the atrioventricular groove on transthoracic echocardiography. Cardiac magnetic resonance ruled out an intracardiac mass, but instead demonstrated a right coronary artery (RCA) fusiform aneurysm. Coronary computed tomography angiography characterized this finding as 2 fusiform RCA aneurysms. Left-sided heart catheterization confirmed this diagnosis. DISCUSSION: Giant coronary aneurysms appearing as large, space-occupying intracavitary cardiac masses are rarely diagnosed. Escalating multimodal imaging is essential for accurate diagnosis and surgical planning. TAKE-HOME MESSAGES: Kawasaki disease can have a late presentation and should be considered in the differential diagnosis of coronary aneurysms. A multimodal imaging approach is essential for accurate diagnosis and management of giant coronary aneurysms.

Indexed as

coronary vessel anomolyhybrid imagingtricuspid valve

Identifiers

PMID40541335
PMCPMC12198609

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.