ReviewCirculation2017
Personalizing Risk Stratification for Sudden Death in Dilated Cardiomyopathy: The Past, Present, and Future.
Review in Circulation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06730464 (Image-Based Prediction of Ventricular Tachycardia Events in Non-ischemic Cardiomyopathy, an International Multicenter Study - [The IMPROVE-NICM Study]), which is not on this map. Cited by 121 papers, 5 of them syntheses that pooled 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.
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.
Image-Based Prediction of Ventricular Tachycardia Events in Non-ischemic Cardiomyopathy, an International Multicenter Study - [The IMPROVE-NICM Study]
Who cites it
121 citing papers in PubMed, 5 syntheses or guidelines pooled it, 230 citations in OpenAlex.
- Clinical Considerations for Competitive Sports Participation for Athletes With Cardiovascular Abnormalities: A Scientific Statement From the American Heart Association and American College of Cardiology.Journal of the American College of Cardiology · 2025Guideline
- Laminopathies' Treatments Systematic Review: A Contribution Towards a 'Treatabolome'.Journal of neuromuscular diseases · 2021Pooled it
- Efficacy of L-Carnitine for Dilated Cardiomyopathy: A Meta-Analysis of Randomized Controlled Trials.BioMed research international · 2021Pooled it
- Prednisone and azathioprine in patients with inflammatory cardiomyopathy: systematic review and meta-analysis.ESC heart failure · 2020Pooled it
- Predicting sustained ventricular arrhythmias in dilated cardiomyopathy: a meta-analysis and systematic review.ESC heart failure · 2020Pooled it
- Late Gadolinium Enhancement Entropy as a Novel Imaging Biomarker of Myocardial Tissue Heterogeneity-A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2026Review
- Prognostic Value of a Cardiac Magnetic Resonance-Derived Left Atrioventricular Coupling Index From Routine Cine Images in Dilated Cardiomyopathy: A Multicenter Study.Journal of magnetic resonance imaging : JMRI · 2026Article
- Incidence, analysis and risk of out-of-hospital cardiac arrest in individuals with non-ischaemic dilated cardiomyopathy.ESC heart failure · 2026Observational
- Redefining Sudden Cardiac Death Risk Stratification in Dilated Cardiomyopathy: An Integrative Approach.Reviews in cardiovascular medicine · 2026Review
- Native T1 Mapping and Clinical Risk Characterization in Non-Ischemic Dilated Cardiomyopathy: A Cardiac Magnetic Resonance Study.Journal of cardiovascular development and disease · 2026Article
- Modulating the myosin super-relaxed state as a therapeutic strategy for myosin light chain-linked cardiomyopathies.Biophysical reviews · 2026Review
- Early-onset dilated cardiomyopathy associated with a novel CRYAB variant complicated by non-sustained ventricular tachycardia: a case report.European heart journal. Case reports · 2026Article
- Mechanical Dispersion in Dilated and Non-Dilated Left Ventricular Cardiomyopathy: A New Frontier in Arrhythmic Risk Prediction.Journal of clinical medicine · 2026Review
- Prognostic value of left atrioventricular coupling index in non-ischemic dilated cardiomyopathy: a cardiovascular magnetic resonance study.BMC cardiovascular disorders · 2026Article
- Physical activity and competitive sport safety for children affected by inherited cardiac conditions and selected acquired cardiomyopathies: emerging evidence and areas for further inquiry.European journal of pediatrics · 2026Review
- Identifying Novel Therapeutic Opportunities for Dilated Cardiomyopathy: A Bioinformatics Approach to Drug Repositioning and Herbal Medicine Prediction.Current pharmaceutical biotechnology · 2026Article
- Metabolic Modulation in Dilated Cardiomyopathy: From Pathophysiology to Therapy.Reviews in cardiovascular medicine · 2025Review
- Predictive value of ambulatory ECG monitoring for malignant arrhythmic events in genetic 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 · 2025Article
- Late gadolinium enhancement imaging and sudden cardiac death.European heart journal · 2025Review
- Risk Stratification of Sudden Cardiac Death in Nonischemic Dilated Cardiomyopathy: Arrhythmogenic Substrate Assessment in Cardiac MRI.Radiology · 2025Observational
61 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Results from the DANISH Study (Danish Study to Assess the Efficacy of ICDs in Patients With Non-Ischemic Systolic Heat Failure on Mortality) suggest that for many patients with dilated cardiomyopathy (DCM), implantable cardioverter-defibrillators do not increase longevity. Accurate identification of patients who are more likely to die of an arrhythmia and less likely to die of other causes is required to ensure improvement in outcomes and wise use of resources. Until now, left ventricular ejection fraction has been used as a key criterion for selecting patients with DCM for an implantable cardioverter-defibrillator for primary prevention purposes. However, registry data suggest that many patients with DCM and an out-of-hospital cardiac arrest do not have a markedly reduced left ventricular ejection fraction. In addition, many patients with reduced left ventricular ejection fraction die of nonsudden causes of death. Methods to predict a higher or lower risk of sudden death include the detection of myocardial fibrosis (a substrate for ventricular arrhythmia), microvolt T-wave alternans (a marker of electrophysiological vulnerability), and genetic testing. Midwall fibrosis is identified by late gadolinium enhancement cardiovascular magnetic resonance imaging in ≈30% of patients and provides incremental value in addition to left ventricular ejection fraction for the prediction of sudden cardiac death events. Microvolt T-wave alternans represents another promising predictor, supported by large meta-analyses that have highlighted the negative predictive value of this test. However, neither of these strategies have been routinely adopted for risk stratification in clinical practice. More convincing data from randomized trials are required to inform the management of patients with these features. Understanding of the genetics of DCM and how specific mutations affect arrhythmic risk is also rapidly increasing. The finding of a mutation in lamin A/C, the cause of ≈6% of idiopathic DCM, commonly underpins more aggressive management because of the malignant nature of the associated phenotype. With the expansion of genetic sequencing, the identification of further high-risk mutations appears likely, leading to better-informed clinical decision making and providing insight into disease mechanisms. Over the next 5 to 10 years, we expect these techniques to be integrated into the existing algorithm to form a more sensitive, specific, and cost-effective approach to the selection of patients with DCM for implantable cardioverter-defibrillator implantation.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.