ArticleScientific reports2022
Heart age estimated using explainable advanced electrocardiography.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05791279 (The Use of Electrocardiography-based Estimation of Heart Age to Improve Blood Pressure in a Primary Care Setting - a Pilot Study), which is not on this map. Cited by 18 papers.
What it found
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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.
The Use of Electrocardiography-based Estimation of Heart Age to Improve Blood Pressure in a Primary Care Setting - a Pilot Study
Who cites it
18 citing papers in PubMed, 40 citations in OpenAlex.
- A dataset of EEG and ECG recordings around the onset of NREM sleep from infancy to adolescence.Scientific data · 2026Article
- Comparison of Artificial Intelligence-Derived Heart Age with Chronological Age Using Normal Sinus Electrocardiograms in Patients with No Evidence of Cardiac Disease.Journal of clinical medicine · 2025Article
- Electrocardiogram abnormalities and CVD mortality: prospective cohort study of Tehran lipid and glucose study.BMC public health · 2025Article
- Article
- Advanced electrocardiography heart age: a prognostic, explainable machine learning approach applicable to sinus and non-sinus rhythms.European heart journal. Digital health · 2025Article
- Cancer therapy-related cardiovascular aging: mechanisms, monitoring, and intervention strategies.Frontiers in cardiovascular medicine · 2025Review
- Age estimation via electrocardiogram from smartwatches.npj biomedical innovations · 2025Article
- Usefulness of Atherogenic Indices for Predicting High Values of Avoidable Lost Life Years Heart Age in 139,634 Spanish Workers.Diagnostics (Basel, Switzerland) · 2024Article
- DNA methylation in cardiovascular disease and heart failure: novel prediction models?Clinical epigenetics · 2024Review
- A review of evaluation approaches for explainable AI with applications in cardiology.Artificial intelligence review · 2024Article
- Using explainable AI to investigate electrocardiogram changes during healthy aging-From expert features to raw signals.PloS one · 2024Article
- Association between deep neural network-derived electrocardiographic-age and incident stroke.Frontiers in cardiovascular medicine · 2024Article
- Accelerated DNA methylation age plays a role in the impact of cardiovascular risk factors on the human heart.Clinical epigenetics · 2023Article
- Heart age gap estimated by explainable advanced electrocardiography is associated with cardiovascular risk factors and survival.European heart journal. Digital health · 2023Article
- A biomarker framework for cardiac aging: the Aging Biomarker Consortium consensus statement.Life medicine · 2023Article
- Predicting Long-Term Ventricular Arrhythmia Risk in Children with Acute Lymphoblastic Leukemia Using Normal Values of Ventricular Repolarization Markers Established from Japanese Cohort Study.Journal of clinical medicine · 2023Article
- Artificial intelligence-estimated biological heart age using a 12-lead electrocardiogram predicts mortality and cardiovascular outcomes.Frontiers in cardiovascular medicine · 2023Article
- An electrocardiography score predicts heart failure hospitalization or death beyond that of cardiovascular magnetic resonance imaging.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
Abstract
Electrocardiographic (ECG) Heart Age conveying cardiovascular risk has been estimated by both Bayesian and artificial intelligence approaches. We hypothesised that explainable measures from the 10-s 12-lead ECG could successfully predict Bayesian 5-min ECG Heart Age. Advanced analysis was performed on ECGs from healthy subjects and patients with cardiovascular risk or proven heart disease. Regression models were used to predict patients' Bayesian 5-min ECG Heart Ages from their standard, resting 10-s 12-lead ECGs. The difference between 5-min and 10-s ECG Heart Ages were analyzed, as were the differences between 10-s ECG Heart Age and the chronological age (the Heart Age Gap). In total, 2,771 subjects were included (n = 1682 healthy volunteers, n = 305 with cardiovascular risk factors, n = 784 with cardiovascular disease). Overall, 10-s Heart Age showed strong agreement with the 5-min Heart Age (R
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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.