Evidence map›Paper›PMID 37398074›Full record

ArticlemedRxiv : the preprint server for health sciences2023

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 · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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, MD, USA.
Kelly ZhangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Adityo PrakosaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Cynthia JamesDivision 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.
Richard CarrickDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD, USA.
Eric SungDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Alessio GasperettiDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD, USA.
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.
Hugh CalkinsDivision of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD, USA.
Natalia TrayanovaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
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

cardiac electrophysiologycomputer modelinggeneticsimaginginherited cardiomyopathyventricular arrhythmias

Identifiers

PMID37398074
PMCPMC10312861
OpenAlexW4379280455

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.