ArticleNature communications2023
Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Genome-wide analysis of heart failure yields insights into disease heterogeneity and enables prognostic prediction in the Japanese population.Nature communications · 2025Pooled it
- A systematic review of GWAS on CMR imaging traits: genetic insights into cardiovascular structure, function, and diseases.EBioMedicine · 2025Pooled it
- Plasma Metabolite Associations with Incident Heart Failure with Reduced and Preserved Ejection Fraction.medRxiv : the preprint server for health sciences · 2026Article
- Full-Body AI Agent: A Perspective on Multi-Scale Collaborative AI for Systemic Biology and Precision Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Genome-wide analysis of cardiac ventricular phenotypes reveals novel loci and therapeutic targets for heart failure.Nature communications · 2026Article
- Association of Cardiovascular Health and Genetic Risk for Left Ventricular Mass with Left Ventricular Structure, Function, and Incident Cardiovascular Outcomes.medRxiv : the preprint server for health sciences · 2026Article
- Mapping rare protein-coding variants on multi-organ imaging traits.Nature communications · 2025Article
- Analysis of left ventricular mass for African American individuals using multi-ancestry polygenic risk scores: the Jackson Heart Study.Open heart · 2025Article
- Current State of Artificial Intelligence in Assessing Cardiac Function.Current cardiology reports · 2025Review
- Predicting prognosis of light-chain cardiac amyloidosis by magnetic resonance imaging and deep learning.European heart journal. Cardiovascular Imaging · 2025Article
- Causal relevance of clonal haematopoiesis with cardiac disease and adverse remodelling: a Mendelian randomisation study.Open heart · 2025Article
- A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent.ArXiv · 2025Article
- Epistasis regulates genetic control of cardiac hypertrophy.Nature cardiovascular research · 2025Article
- Identification of a rare variant in TNNT3 responsible for familial dilated cardiomyopathy through whole-exome sequencing and in silico analysis.European journal of medical research · 2025Article
- Deciphering epistatic genetic regulation of cardiac hypertrophy.medRxiv : the preprint server for health sciences · 2025Article
- Low Penetrance Sarcomere Variants Contribute to Additive Risk in Hypertrophic Cardiomyopathy.Circulation · 2025Article
- Accelerometer-Measured Sedentary Behavior and Risk of Future Cardiovascular Disease.Journal of the American College of Cardiology · 2025Article
- Connecting intermediate phenotypes to disease using multi-omics in heart failure.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025Article
- Article
- Novel Insights into Causal Effects of Serum Lipids and Apolipoproteins on Cardiovascular Morpho-Functional Phenotypes.Cardiovascular toxicology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 2 institutions in 2 countries.
Funding
Abstract
Left ventricular mass is a risk marker for cardiovascular events, and may indicate an underlying cardiomyopathy. Cardiac magnetic resonance is the gold-standard for left ventricular mass estimation, but is challenging to obtain at scale. Here, we use deep learning to enable genome-wide association study of cardiac magnetic resonance-derived left ventricular mass indexed to body surface area within 43,230 UK Biobank participants. We identify 12 genome-wide associations (1 known at TTN and 11 novel for left ventricular mass), implicating genes previously associated with cardiac contractility and cardiomyopathy. Cardiac magnetic resonance-derived indexed left ventricular mass is associated with incident dilated and hypertrophic cardiomyopathies, and implantable cardioverter-defibrillator implant. An indexed left ventricular mass polygenic risk score ≥90
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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.