Evidence map›Paper›PMID 37851708›Full record

ArticleeLife2023

Predicting ventricular tachycardia circuits in patients with arrhythmogenic right ventricular cardiomyopathy using genotype-specific heart digital twins.

Yingnan Zhang, Kelly Zhang, Adityo Prakosa, Cynthia James, Stefan L Zimmerman, Richard Carrick, Eric Sung, Alessio Gasperetti, Crystal Tichnell, Brittney Murray and 2 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
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

30 citing papers in PubMed, 14 citations in OpenAlex.

  1. AI-enabled clinical trials.Nature reviews bioengineering · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Probabilistic Cardiac Digital Twins for Robust Patient-Specific Modeling.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Precision cardiac electrophysiology: toward digital twins and beyond.Journal of precision medicine (Amsterdam, Netherlands) · 2025
    Article
  14. Article
  15. Review
  16. Review
  17. Observational
  18. Review
  19. Review
  20. From bits to bedside: entering the age of digital twins in cardiac electrophysiology.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Yingnan ZhangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.ORCID 0000-0002-2070-6786
Kelly ZhangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.ORCID 0000-0001-8666-4569
Adityo PrakosaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.ORCID 0000-0002-1590-0322
Cynthia JamesDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.
Stefan L ZimmermanDepartment of Radiology, Johns Hopkins University, Baltimore, United States.
Richard CarrickDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.
Eric SungDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.
Alessio GasperettiDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.
Crystal TichnellDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.
Brittney MurrayDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.
Hugh CalkinsDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, United States.
Natalia A TrayanovaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.ORCID 0000-0002-8661-063X
Johns Hopkins Hospital · USJohns Hopkins University · US

Funding

PATHOPHYSIOLOGY OF MYOCARDIAL DISEASEST32HL007227 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Chulan Kwon, WENDY S POST · 1985 to 2026
$21.2M
Infarct-related Ventricular Tachycardia Mechanisms: From Micro to ClinicalR01HL142496 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2019 to 2022
$3.1M
Exploration of Arrhythmogenic Triggers and Substrates in Heart FailureR01HL126802 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI EFIMOV, IGOR R, GORELIK, JULIA · 2016 to 2019
$2.8M
NHLBI NIH HHS L30 HL165535NHLBI NIH HHS R01 HL126802NHLBI NIH HHS R01 HL142496NHLBI NIH HHS T32 HL007227
6 · The paper itself

Abstract

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic cardiac disease that leads to ventricular tachycardia (VT), a life-threatening heart rhythm disorder. Treating ARVC remains challenging due to the complex underlying arrhythmogenic mechanisms, which involve structural and electrophysiological (EP) remodeling. Here, we developed a novel genotype-specific heart digital twin (Geno-DT) approach to investigate the role of pathophysiological remodeling in sustaining VT reentrant circuits and to predict the VT circuits in ARVC patients of different genotypes. This approach integrates the patient's disease-induced structural remodeling reconstructed from contrast-enhanced magnetic-resonance imaging and genotype-specific cellular EP properties. In our retrospective study of 16 ARVC patients with two genotypes: plakophilin-2 (

Indexed as

Arrhythmogenic Right Ventricular DysplasiaTachycardia, VentricularArrhythmias, CardiacGenotypeHumansRetrospective Studiescardiac imagingcardiomyopathycomputational biologycomputer modelingelectrophysiologygeneticshumansystems biologyventricular arrhythmia

Identifiers

PMID37851708
PMCPMC10584370
OpenAlexW4384693035

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.