Evidence map›Paper›PMID 41282123›Full record

ArticleResearch square2025

Genotype-specific Digital Twins for Arrhythmia Ablation Targeting in Arrhythmogenic Right Ventricular Cardiomyopathy.

Yingnan Zhang, Adityo Prakosa, Kelly Zhang, Richard Carrick, Jonathan Chrispin, Stefan L Zimmerman, Konstantinos Aronis, Eugene G Kholmovski, Crystal Tichnell, Brittney Murray and 3 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 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

5 · Who and what money

Authors and funding

13 authors.

Yingnan ZhangDepartment of Biomedical Engineering, Johns Hopkins University; Baltimore, MD, USA.
Adityo PrakosaDepartment of Biomedical Engineering, Johns Hopkins University; Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-1590-0322
Kelly ZhangDepartment of Biomedical Engineering, Johns Hopkins University; Baltimore, MD, USA.
Richard CarrickDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital; Baltimore, MD, USA.
Jonathan ChrispinDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital; Baltimore, MD, USA.
Stefan L ZimmermanDepartment of Radiology and Radiological Science, Johns Hopkins Hospital; Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-9422-6742
Konstantinos AronisDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital; Baltimore, MD, USA.
Eugene G KholmovskiAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University; Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-3271-7247
Crystal TichnellDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital; Baltimore, MD, USA.
Brittney MurrayDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital; Baltimore, MD, USA.
Cynthia JamesDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital; Baltimore, MD, USA.ORCID https://orcid.org/0000-0001-8040-4600
Hugh CalkinsDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital; Baltimore, MD, USA.
Natalia TrayanovaDepartment of Biomedical Engineering, Johns Hopkins University; Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-8661-063X

Funding

Artificial intelligence analysis of atrial remodeling evolution in patients with atrial fibrillation: Towards optimal ablation strategiesR01HL166759 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Eugene Kholmovski, David Spragg · 2023 to 2026
$3.2M
Heart Digital Twin Analysis of Arrhythmias due to Infiltrating AdiposityR01HL174440 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI NATALIA A. TRAYANOVA · 2024 to 2026
$2.1M
NHLBI NIH HHS R01 HL166759NHLBI NIH HHS R01 HL174440
6 · The paper itself

Abstract

Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) is a severe genetic heart disease that predominantly affects young athletic individuals and carries a high risk of ventricular tachycardia (VT) and sudden cardiac death. Although catheter-based radiofrequency ablation is the state-of-the-art treatment for VT, its success in ARVC is limited by high recurrence rates. Here, we present Genotype-specific Digital-twin Ablation Targeting (

Identifiers

PMID41282123
PMCPMC12637826

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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.