Evidence map›Paper›PMID 24375958›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine

Advances in modeling ventricular arrhythmias: from mechanisms to the clinic.

Natalia A Trayanova, Patrick M Boyle

Open access · greenAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
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  9. Review
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  11. Towards personalized computational modelling of the fibrotic substrate for atrial arrhythmia.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 · 2016
    Review
  12. Article
  13. Review
  14. Computational modeling of cardiac fibroblasts and fibrosis.Journal of molecular and cellular cardiology · 2016
    Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Three-dimensional left ventricular segmentation from magnetic resonance imaging for patient-specific modelling purposes.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 · 2014
    Article
  20. Article
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

2 authors at 1 institution in 1 country.

Natalia A TrayanovaInstitute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Patrick M Boyle
Johns Hopkins University · US

Funding

Improved Targeting and Assessment of Electrophysiology InterventionR01HL094610 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HALPERIN, HENRY R · 2009 to 2018
$15.5M
Virtual Electrophysiology LaboratoryDP1HL123271 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2013 to 2017
$4.0M
Redox Modification of the Arrhythmic Substrate in Heart FailureR01HL105216 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI O'ROURKE, BRIAN, TRAYANOVA, NATALIA A. · 2011 to 2014
$3.0M
Resynchronizing the Failing Heart: Insights from a Multiscale Cardiac ModelR01HL103428 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2011 to 2014
$2.3M
NHLBI NIH HHS DP1 HL123271NHLBI NIH HHS R01 HL094610NHLBI NIH HHS R01 HL103428NHLBI NIH HHS R01 HL105216
6 · The paper itself

Abstract

Modern cardiovascular research has increasingly recognized that heart models and simulation can help interpret an array of experimental data and dissect important mechanisms and interrelationships, with developments rooted in the iterative interaction between modeling and experimentation. This article reviews the progress made in simulating cardiac electrical behavior at the level of the organ and, specifically, in the development of models of ventricular arrhythmias and fibrillation, as well as their termination (defibrillation). The ability to construct multiscale models of ventricular arrhythmias, representing integrative behavior from the molecule to the entire organ, has enabled mechanistic inquiry into the dynamics of ventricular arrhythmias in the diseased myocardium, in understanding drug-induced proarrhythmia, and in the development of new modalities for defibrillation, to name a few. In this article, we also review the initial use of ventricular models of arrhythmia in personalized diagnosis, treatment planning, and prevention of sudden cardiac death. Implementing individualized cardiac simulations at the patient bedside is poised to become one of the most thrilling examples of computational science and engineering approaches in translational medicine.

Indexed as

AnimalsArrhythmias, CardiacFibroblastsHeartHeart VentriclesHumansModels, CardiovascularOptogeneticsPurkinje CellsRadiographyVentricular Remodeling

Identifiers

PMID24375958
PMCPMC3944962
OpenAlexW1887330272

What OpenQuestion holds

Textmetadata
LicenceTDM
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.