Evidence map›Paper›PMID 39217566›Full record

ArticleJournal of the American College of Cardiology2024

Arrhythmic Risk Stratification by Cardiovascular Magnetic Resonance Imaging in Patients With Nonischemic Cardiomyopathy.

Daniel J Hammersley, Abbasin Zegard, Emmanuel Androulakis, Richard E Jones, Osita Okafor, Suzan Hatipoglu, Lukas Mach, Amrit S Lota, Zohya Khalique, Antonio de Marvao and 10 more

Abstract read
In one paragraph

Article in Journal of the American College of Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  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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  8. Role of cardiovascular magnetic resonance in diagnosis and management of muscular dystrophies.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026
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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

20 authors.

Daniel J HammersleyNational Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom; Kings College Hospital NHS Foundation Trust, London, United Kingdom.
Abbasin ZegardUniversity Hospitals Birmingham Queen Elizabeth, Birmingham, United Kingdom; Aston Medical School, Aston University, Birmingham, United Kingdom.
Emmanuel AndroulakisRoyal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Richard E JonesNational Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom; Anglia Ruskin Medical School, Chelmsford, United Kingdom; Essex Cardiothoracic Centre, Basildon, Essex, United Kingdom.
Osita OkaforUniversity Hospitals Birmingham Queen Elizabeth, Birmingham, United Kingdom; Aston Medical School, Aston University, Birmingham, United Kingdom.
Suzan HatipogluRoyal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Lukas MachNational Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Amrit S LotaNational Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Zohya KhaliqueNational Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Antonio de MarvaoMRC Laboratory of Medical Sciences, Imperial College London, London, United Kingdom; Department of Women and Children's Health, King's College London, London, United Kingdom; British Heart Foundation Centre of Research Excellence, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, London, United Kingdom.
Ankur GulatiLewisham and Greenwich NHS Trust, London, United Kingdom.
Resham BaruahRoyal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Kaushik GuhaPortsmouth Hospitals NHS Trust, Portsmouth, United Kingdom.
James S WareNational Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom; MRC Laboratory of Medical Sciences, Imperial College London, London, United Kingdom.
Upasana TayalNational Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Dudley J PennellNational Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Brian P HallidayNational Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Tian QiuUniversity Hospitals Birmingham Queen Elizabeth, Birmingham, United Kingdom.
Sanjay K PrasadNational Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton & Harefield Clinical Group, part of Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Francisco LeyvaUniversity Hospitals Birmingham Queen Elizabeth, Birmingham, United Kingdom; Aston Medical School, Aston University, Birmingham, United Kingdom. Electronic address: cardiologists@hotmail.com.

Funding

British Heart Foundation FS/CRTF/23/24444British Heart Foundation SP/17/11/32885
6 · The paper itself

Abstract

backgroundMyocardial fibrosis (MF) forms part of the arrhythmic substrate for ventricular arrhythmias (VAs).

objectivesThis study sought to determine whether total myocardial fibrosis (TF) and gray zone fibrosis (GZF), assessed using cardiovascular magnetic resonance, are better than left ventricular ejection fraction (LVEF) in predicting ventricular arrhythmias in patients with nonischemic cardiomyopathy (NICM).

methodsPatients with NICM in a derivation cohort (n = 866) and a validation cohort (n = 848) underwent quantification of TF and GZF. The primary composite endpoint was sudden cardiac death or VAs (ventricular fibrillation or ventricular tachycardia).

resultsThe primary endpoint was met by 52 of 866 (6.0%) patients in the derivation cohort (median follow-up: 7.5 years; Q1-Q3: 5.2-9.3 years). In competing-risks analyses, MF on visual assessment (MF

conclusionsMF

Indexed as

CardiomyopathiesMagnetic Resonance Imaging, CineAgedArrhythmias, CardiacCohort StudiesDeath, Sudden, CardiacFemaleFibrosisFollow-Up StudiesHumansMaleMiddle AgedMyocardiumRisk AssessmentStroke Volumearrythmiafibrosisnonischemic cardiomyopathyrisk stratificationsudden cardiac death

Identifiers

PMID39217566
PMCPMC11444937

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.