ReviewEuropean heart journal2025
Late gadolinium enhancement imaging and sudden cardiac death.
Review in European heart journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Mechanobiological feedback loops and quantitative decision thresholds in organ fibrosis: Translational principles for antifibrotic therapy.Journal of cell communication and signaling · 2026Review
- Imaging-Based Risk Stratification for Sudden Cardiac Death in Hypertrophic Cardiomyopathy: Current Evidence and Clinical Perspectives.Medical sciences (Basel, Switzerland) · 2026Review
- Multimodality Imaging in Myocarditis: Integrating Etiology, Diagnosis, and Risk Stratification.Current cardiology reports · 2026Review
- Flecainide in Structural Heart Disease: Reconsidering Its Role in Contemporary Arrhythmia Management.Life (Basel, Switzerland) · 2026Review
- Review
- Ventricular tachycardia in mid-ventricular obstructive hypertrophy: electrophysiological and pathological findings, and optimal surgical procedure.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026Article
- Multidimensional cardiac functional phenotyping beyond ejection fraction: a multimodality imaging framework for cardiovascular care.Frontiers in cardiovascular medicine · 2026Review
- Discrimination of sustained VT in structural heart disease using LGE-CMR and computational simulation: moving beyond LVEF.Frontiers in cardiovascular medicine · 2026Article
- A case of hypertrophic cardiomyopathy with untoward outcome.The British journal of cardiology · 2026Article
- Risk stratification for sudden cardiac death in nonischemic dilated cardiomyopathy: a moving target?Frontiers in cardiovascular medicine · 2026Review
- Adamts1 Exacerbates Post-Myocardial Infarction Scar Formation via Mechanosensing of Integrin α8.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Cardiac magnetic resonance research advances in myocardial fibrosis of hypertrophic cardiomyopathy.Frontiers in cardiovascular medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The prediction and management of sudden cardiac death risk continue to pose significant challenges in cardiovascular care despite advances in therapies over the last two decades. Late gadolinium enhancement (LGE) on cardiac magnetic resonance-a marker of myocardial fibrosis-is a powerful non-invasive tool with the potential to aid the prediction of sudden death and direct the use of preventative therapies in several cardiovascular conditions. In this state-of-the-art review, we provide a critical appraisal of the current evidence base underpinning the utility of LGE in both ischaemic and non-ischaemic cardiomyopathies together with a focus on future perspectives and the role for machine learning and digital twin technologies.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.