Evidence map›Paper›PMID 42639363›Full record

ArticleCureus2026

Apple Watch Saves an Athlete: Unmasking Early Detection of Arrhythmogenic Cardiomyopathy.

Aditi Das Shroddha, Ishikaa Mukherjee, Pier D Lambiase

Abstract readCase Reports
In one paragraph

Article in Cureus, 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

3 authors.

Aditi Das ShroddhaCardiology, Barts Health NHS Trust, London, GBR.
Ishikaa MukherjeeCardiology, Barts and the London School of Medicine and Dentistry, London, GBR.
Pier D LambiaseCardiology, National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC) and NIHR University College London Hospitals/University College London Biomedical Research Centre (UCLH/UCL BRC), London, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arrhythmogenic cardiomyopathy (ACM), encompassing arrhythmogenic right ventricular cardiomyopathy (ARVC), is an important cause of ventricular arrhythmias and sudden cardiac death in young individuals, particularly athletes. Early diagnosis remains challenging due to subtle or evolving structural and electrocardiographic findings, and the condition may initially mimic benign idiopathic ventricular tachycardia (VT). We report the case of a 33-year-old athletic male who presented with recurrent palpitations initially documented by a consumer wearable device and was managed as presumed idiopathic right ventricular outflow tract VT (RVOT VT). Despite initial endocardial ablation, he experienced recurrent VT. Subsequent multimodality assessment, including cardiac magnetic resonance imaging and electroanatomic mapping, demonstrated subepicardial fibrosis and extensive right ventricular epicardial scar, consistent with an ACM phenotype. Owing to recurrent ventricular arrhythmias and significant scar burden, a subcutaneous implantable cardioverter-defibrillator was implanted for secondary prevention. This case highlights the diagnostic overlap between idiopathic VT, myocarditis, and early ACM, and underscores the importance of ongoing diagnostic vigilance when arrhythmias recur after apparently successful ablation. It also illustrates the emerging role of wearable technology in the early detection of clinically significant ventricular arrhythmias and emphasises the value of longitudinal, multidisciplinary management in young patients with suspected ACM.

Indexed as

apple watcharrhythmogenic cardiomyopathycardiac mriidiopathic rvot vtsubepicardial fibrosis

Identifiers

PMID42639363
PMCPMC13501160

What OpenQuestion holds

Textmetadata
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.