Evidence map›Paper›PMID 41206344›Full record

SynthesisEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2025

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.

Thomas Nia Jensen, Sharif Omara, Jens Cosedis Nielsen, Michelle Samuel, Rob J van der Geest, Won Yong Kim, Katja Zeppenfeld

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in 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. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Thomas Nia JensenDepartment of Cardiology and Aarhus University, Department of Clinical Medicine, Aarhus University Hospital, 8200, Aarhus N, Denmark.ORCID 0000-0002-5054-4108
Sharif OmaraDepartment of Cardiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, Netherlands.ORCID 0000-0002-3961-8647
Jens Cosedis NielsenDepartment of Cardiology and Aarhus University, Department of Clinical Medicine, Aarhus University Hospital, 8200, Aarhus N, Denmark.ORCID 0000-0003-0631-0010
Michelle SamuelMario Lemieux Center for Heart Rhythm Care, Allegheny Health Network and Drexel University, Pittsburgh, USA.ORCID 0000-0002-9674-6565
Rob J van der GeestDepartment of Radiology, Leiden University Medical Center, 2300 RC, Leiden, Netherlands.ORCID 0000-0002-9084-5597
Won Yong KimDepartment of Cardiology and Aarhus University, Department of Clinical Medicine, Aarhus University Hospital, 8200, Aarhus N, Denmark.ORCID 0000-0003-1302-1671
Katja ZeppenfeldDepartment of Cardiology and Aarhus University, Department of Clinical Medicine, Aarhus University Hospital, 8200, Aarhus N, Denmark.ORCID 0000-0001-6645-082X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsIn non-ischaemic cardiomyopathy (NICM), late gadolinium enhancement (LGE) detected by cardiovascular magnetic resonance is related to ventricular arrhythmia (VA) and sudden cardiac death (SCD) risk. The incremental prognostic value of quantifying LGE volume or mass beyond its mere presence, however, remains unresolved. The aim was to evaluate whether LGE quantification improves the prediction of SCD. METHODS AND

resultsPubMed, Embase, and Web of Science were searched on 20 November 2024 for observational studies that related quantified LGE burden to ventricular arrhythmia (VA)/SCD in NICM. Forty-one studies met prespecified criteria. Hazard ratios (HRs) were pooled with random-effects models, and quantification information was depicted in figures. Presence of any LGE was associated with a three-fold increase in VA/SCD risk (pooled HR 3.31, 95% confidence interval: 2.58-4.24). Beyond this binary marker, every additional 1% (or 1 g) of LGE was associated with a 12% relative risk increase (range 10-20%), independent of left ventricular ejection fraction and consistent across eight semi-automated thresholding techniques. This included 2-6 standard deviations above the reference myocardium and the full-width half-maximum method. Additionally, results were prone to substantial methodological heterogeneity (τ² = 1.49) and small-study bias. Once the presence of LGE was accounted for, scar quantification and location conferred minimal additional prognostic value.

conclusionQuantitative LGE assessment provides little incremental prognostic utility over dichotomous LGE detection. Consensus imaging standards and prospective validation are requisite before LGE burden can guide primary implantable cardioverter defibrillator allocation in NICM.

Indexed as

Arrhythmias, CardiacCardiomyopathiesContrast MediaDeath, Sudden, CardiacGadoliniumMagnetic Resonance ImagingMagnetic Resonance Imaging, CineHumansPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsContrast MediaGadoliniumLate gadolinium enhancementMagnetic resonance imagingMeta-analysisRisk predictionVentricular tachycardia

Identifiers

PMID41206344
PMCPMC12598646

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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.