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Atrial fibrillation

Atrial fibrillation (AF) is a cardiac arrhythmia characterized by rapid, disorganized electrical activity in the atria, producing an irregular ventricular rhythm and ineffective atrial contraction.

Where the papers sit

9 papers from the last 6 months study atrial fibrillation directly · updated from PubMed 22 Oct 2026

Study type 0 clinical trials · 4 observational · 5 human data

Themes one subject

Those 9 are all about one subject.

  • Atrial Fibrillation Risk and Detection

    Risk assessment is expanding beyond post hoc stroke prevention to incident atrial fibrillation, cardioembolic stroke, and safer cardioversion planning. Population cohorts examine diabetes, obesity, GLP-1 receptor agonists, cancer-treatment radiation, and epicardial adipose mechanisms, while symmetric dimethylarginine and polygenic scores seek added stratification. Handheld ECG and deep learning aim to detect AF in real-world settings, with interpretability remaining important. CT-based left atrial appendage assessment offers a noninvasive pathway before inpatient cardioversion, but validation across populations and clinical utility remain open.

    9 papers

Papers

The 9 papers from the last 6 months that study atrial fibrillation directly, newest first, by theme and by study type. Study types come from PubMed publication types and MeSH headings.

By theme

Atrial Fibrillation Risk and Detection (9)
  1. PMID 42053472
  2. PMID 42041167
  3. Beyond stroke: atrial fibrillation and the broader burden of thromboembolic events in the population-based EpiHealth study. Scandinavian cardiovascular journal : SCJ · 12 Oct 2026 PMID 42862737
  4. Association of Cardiac Conduction System Radiation Doses with Incident Atrial Fibrillation in Lung Cancer. Cardiovascular toxicology · 25 Sept 2026 PMID 42791431
  5. Single-Nucleus and Multiomics Profiling of Epicardial Adipose Tissue in Atrial Fibrillation Reveals Novel Mechanisms and Translational Biomarkers. Journal of the American Heart Association · 27 Aug 2026 PMID 42657754
  6. Prediction of Atrial Fibrillation Occurrence With Handheld Mobile Electrocardiogram: Deep Learning Model Development Using Real-World Data. JMIR medical informatics · 20 Aug 2026 PMID 42623177
  7. Glucagon-like peptide-1 receptor agonists and new-onset atrial fibrillation in adults with diabetes or obesity: a multinational cohort study. Diabetes research and clinical practice · 21 Jul 2026 PMID 42480717
  8. Symmetric Dimethylarginine for Risk Stratification of Cardioembolic Stroke. Translational stroke research · 14 Jul 2026 PMID 42446860
  9. Cross-domain transfer learning strategy enhances interpretability of deep learning model explanations. Scientific reports · 24 Jun 2026 PMID 42342760

By study type

Observational studies and case reports (4)
  1. Beyond stroke: atrial fibrillation and the broader burden of thromboembolic events in the population-based EpiHealth study. Scandinavian cardiovascular journal : SCJ · 12 Oct 2026 PMID 42862737
  2. Association of Cardiac Conduction System Radiation Doses with Incident Atrial Fibrillation in Lung Cancer. Cardiovascular toxicology · 25 Sept 2026 PMID 42791431
  3. Glucagon-like peptide-1 receptor agonists and new-onset atrial fibrillation in adults with diabetes or obesity: a multinational cohort study. Diabetes research and clinical practice · 21 Jul 2026 PMID 42480717
  4. Symmetric Dimethylarginine for Risk Stratification of Cardioembolic Stroke. Translational stroke research · 14 Jul 2026 PMID 42446860
Human data, design not indexed (5)
  1. Atrial Fibrillation Burden as an Outcome in Clinical Trials. NEJM evidence · 27 Oct 2026 PMID 42937432
  2. High BMI-attributable burden of eight diseases relevant to the CKM framework in China: GBD 2023 estimates and projections to 2050. Experimental gerontology · 19 Sept 2026 PMID 42763076
  3. Single-Nucleus and Multiomics Profiling of Epicardial Adipose Tissue in Atrial Fibrillation Reveals Novel Mechanisms and Translational Biomarkers. Journal of the American Heart Association · 27 Aug 2026 PMID 42657754
  4. Prediction of Atrial Fibrillation Occurrence With Handheld Mobile Electrocardiogram: Deep Learning Model Development Using Real-World Data. JMIR medical informatics · 20 Aug 2026 PMID 42623177
  5. Cross-domain transfer learning strategy enhances interpretability of deep learning model explanations. Scientific reports · 24 Jun 2026 PMID 42342760