Evidence map›Paper›PMID 33602406›Full record

ArticleJACC. Clinical electrophysiology2021

Late-Gadolinium Enhancement Interface Area and Electrophysiological Simulations Predict Arrhythmic Events in Patients With Nonischemic Dilated Cardiomyopathy.

Gabriel Balaban, Brian P Halliday, Bradley Porter, Wenjia Bai, Ståle Nygåard, Ruth Owen, Suzan Hatipoglu, Nuno Dias Ferreira, Cemil Izgi, Upasana Tayal and 8 more

Open access · hybridAbstract read
In one paragraph

Article in JACC. Clinical electrophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Prediction of ventricular arrhythmias and sudden cardiac death by quantification and location of late gadolinium enhancement on cardiac magnetic resonance: a systematic review and meta-analysis.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 · 2025
    Pooled it
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  4. Observational
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  7. Left Ventricular Ring-like Pattern: The Arrhythmic Tale of a Scarred Heart.Journal of cardiovascular development and disease · 2025
    Review
  8. Review
  9. 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
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  16. Left ventricular shape predicts arrhythmic risk in fibrotic dilated cardiomyopathy.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 · 2022
    Article
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  19. Review
  20. CombinedFrontiers in physiology · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 3 countries.

Gabriel BalabanDepartment of Biomedical Engineering, School of Biomedical & Imaging Sciences, King's College London, United Kingdom; Department of Informatics, University of Oslo, Oslo, Norway.
Brian P HallidayCardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Bradley PorterDepartment of Biomedical Engineering, School of Biomedical & Imaging Sciences, King's College London, United Kingdom; Department of Cardiology, St Thomas' Hospital, London, United Kingdom.
Wenjia BaiDepartment of Computer Science, Imperial College London, United Kingdom.
Ståle NygåardDepartment of Informatics, University of Oslo, Oslo, Norway.
Ruth OwenLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Suzan HatipogluCardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom.
Nuno Dias FerreiraCardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom.
Cemil IzgiCardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom.
Upasana TayalCardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom.
Ben CordenNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
James WareNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Dudley J PennellCardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Daniel RueckertDepartment of Computer Science, Imperial College London, United Kingdom.
Gernot PlankInstitute of Biophysics, Medical University of Graz, Graz, Austria.
Christopher A RinaldiDepartment of Biomedical Engineering, School of Biomedical & Imaging Sciences, King's College London, United Kingdom; Department of Cardiology, St Thomas' Hospital, London, United Kingdom.
Sanjay K PrasadCardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Martin J BishopDepartment of Biomedical Engineering, School of Biomedical & Imaging Sciences, King's College London, United Kingdom. Electronic address: martin.bishop@kcl.ac.uk.
Royal Brompton Hospital · GBImperial College London · GBKing's College London · GBLondon School of Hygiene & Tropical Medicine · GBMedical University of Graz · ATSt Thomas' Hospital · GBUniversity of Oslo · NO

Funding

British Heart Foundation FS/15/29/31492British Heart Foundation FS/17/21/32712Medical Research Council MC_UP_1102/20Medical Research Council MR/N011007/1Wellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

objectivesThis study sought to investigate whether shape-based late gadolinium enhancement (LGE) metrics and simulations of re-entrant electrical activity are associated with arrhythmic events in patients with nonischemic dilated cardiomyopathy (NIDCM).

backgroundThe presence of LGE predicts life-threatening ventricular arrhythmias in NIDCM; however, risk stratification remains imprecise. LGE shape and simulations of electrical activity may be able to provide additional prognostic information.

methodsCardiac magnetic resonance (CMR)-LGE shape metrics were computed for a cohort of 156 patients with NIDCM and visible LGE and tested retrospectively for an association with an arrhythmic composite endpoint of sudden cardiac death and ventricular tachycardia. Computational models were created from images and used in conjunction with simulated stimulation protocols to assess the potential for re-entry induction in each patient's scar morphology. A mechanistic analysis of the simulations was carried out to explain the associations.

resultsDuring a median follow-up of 1,611 (interquartile range: 881 to 2,341) days, 16 patients (10.3%) met the primary endpoint. In an inverse probability weighted Cox regression, the LGE-myocardial interface area (hazard ratio [HR]: 1.75; 95% confidence interval [CI]: 1.24 to 2.47; p = 0.001), number of simulated re-entries (HR: 1.40; 95% CI: 1.23 to 1.59; p < 0.01) and LGE volume (HR: 1.44; 95% CI: 1.07 to 1.94; p = 0.02) were associated with arrhythmic events. Computational modeling revealed repolarization heterogeneity and rate-dependent block of electrical wavefronts at the LGE-myocardial interface as putative arrhythmogenic mechanisms directly related to the LGE interface area.

conclusionsThe area of interface between scar and surviving myocardium, as well as simulated re-entrant activity, are associated with an elevated risk of major arrhythmic events in patients with NIDCM and LGE and represent novel risk predictors.

Indexed as

Cardiomyopathy, DilatedGadoliniumContrast MediaHumansPredictive Value of TestsRetrospective StudiesContrast MediaGadoliniumarrhythmic riskcomputational modelingdilated cardiomyopathyfibrosislate gadolinium enhancement

Identifiers

PMID33602406
PMCPMC7900608
OpenAlexW3096057463

What OpenQuestion holds

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LicenceCC BY
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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.