Evidence map›Paper›PMID 41697182›Full record

ArticleJACC. Case reports2026

"Burned-Out" Hypertrophic Cardiomyopathy: Overlap on Cardiac MRI With Other Nonischemic Cardiomyopathies.

Kevin Wunderly, Steven Ajluni, Patrick O'Hayer, Anil Attili

Abstract readCase Reports
In one paragraph

Article in JACC. Case reports, 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.

Kevin WunderlyDepartment of Internal Medicine, University of Toledo, Toledo, Ohio, USA.
Steven AjluniDepartment of Cardiology, University of Michigan, Ann Arbor, Michigan, USA.
Patrick O'HayerDepartment of Cardiology, University of Michigan, Ann Arbor, Michigan, USA.
Anil AttiliDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: aattili@umich.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background"Burned-out" or end-stage hypertrophic cardiomyopathy (HCM) refers to HCM with a reduced left ventricular ejection fraction (LVEF) of ≤50%. It is an uncommon initial presentation of HCM, and imaging, including cardiac magnetic resonance imaging (CMR), is essential for diagnosis. CASE SUMMARY: A 66-year-old man presented to clinic with dyspnea while in atrial fibrillation. His LVEF 7 months prior was normal, and he had no history of heart failure. He had a strong family history of HCM, heart failure, and sudden cardiac death. CMR showed a dilated and globally hypokinetic left ventricle with a reduced LVEF of 37% and extensive late gadolinium enhancement in a nonischemic pattern. Genetic testing was positive for a mutation in MYH7. DISCUSSION: This case is of particular interest, as CMR findings were not consistent with classic HCM, showing reduced LVEF and only mildly hypertrophied myocardium. The CMR features overlapped with other nonischemic cardiomyopathies, and a definitive diagnosis was able to be made only after genetic testing and a detailed family history. TAKE-HOME MESSAGES: The CMR findings in burned-out HCM can overlap with other nonischemic cardiomyopathies, including arrhythmogenic cardiomyopathy, cardiac sarcoidosis, chronic myocarditis, dilated nonischemic cardiomyopathy, and infiltrative cardiomyopathies such as cardiac amyloidosis. This case highlights the importance of CMR in combination with family history and genetic testing to diagnose burned-out HCM.

Indexed as

cardiac magnetic resonancecardiomyopathygenetic disorders

Identifiers

PMID41697182
PMCPMC13008524

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.