Evidence map›Paper›PMID 40345722›Full record

ArticleJACC. Case reports2025

Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology.

Nicole Guynn, Kierra Regis, Alex Eckert, Melroy D'souza, Sarah Turbow, Stacy Westerman, Laurence Sperling, Michael Lloyd

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

8 authors.

Nicole GuynnDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA. Electronic address: nguynn@emory.edu.
Kierra RegisDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Alex EckertDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Melroy D'souzaDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Sarah TurbowDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Stacy WestermanDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Laurence SperlingDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Michael LloydDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable devices are increasingly used to detect arrhythmias, including life-threatening ventricular tachycardia (VT). This case highlights their role in clinical settings. A patient with prior surgical aortic valve replacement because of a bicuspid valve experienced symptomatic palpitations, and his smartwatch recorded a wide complex tachycardia at 165 beats/min. His presentation led to intensive care admission and later to a diagnosis of VT successfully treated with an implantable defibrillator and ultimately requiring radiofrequency ablation. Smartwatches provide a noninvasive tool for detecting arrhythmias like VT, using photoplethysmography and single-lead ECG. Limitations include validation gaps, false positives, and user activation. Integration into clinical practice requires updated guidelines, structured reimbursement, and legal clarity. This case demonstrates the critical role of smartwatch data in VT detection and management.

Indexed as

palpitationssmart watchventricular arrhythmiawearable technologywide complex tachycardia

Identifiers

PMID40345722
PMCPMC12245455

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.