Observational studyCardiovascular diabetology2021
Relationship between diabetes mellitus and atrial fibrillation prevalence in the Polish population: a report from the Non-invasive Monitoring for Early Detection of Atrial Fibrillation (NOMED-AF) prospective cross-sectional observational study.
Observational study in Cardiovascular diabetology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03243474 (Non-invasive Monitoring for Early Detection of Atrial Fibrillation), which is not on this map. Cited by 18 papers.
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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.
Non-invasive Monitoring for Early Detection of Atrial Fibrillation
Who cites it
18 citing papers in PubMed, 34 citations in OpenAlex.
- Atrial Fibrillation in Diabetes: Epidemiology, Mechanisms and Integrated Management.Journal of clinical medicine · 2026Review
- Prevalence and risk factors of atrial fibrillation in type 2 diabetes mellitus: a hospital-based cross-sectional study.BMC cardiovascular disorders · 2026Article
- Observational
- Complex interrelationship and therapeutic advances in diabetic patients with atrial fibrillation.World journal of cardiology · 2025Review
- Impact of Atrial Fibrillation Type on Quality of Life and Clinical Parameters in Patients with Diabetes Mellitus.Journal of cardiovascular development and disease · 2025Article
- Clinical associations and prognosis in Asian and European patients with symptom-controlled atrial fibrillation: Insights from two prospective registries in Europe and Asia.European journal of clinical investigation · 2025Article
- Atrial Fibrillation in Diabetes: Pathogenesis and Targeted Rhythm Control Strategies.Current issues in molecular biology · 2025Review
- Identifying High-Risk Atrial Fibrillation in Diabetes: Evidence from Nomogram and Plasma Metabolomics Analysis.Biomedicines · 2025Article
- Dapagliflozin and Sirtuin-1 interaction and mechanism for ameliorating atrial fibrillation in a streptozotocin-induced rodent diabetic model.Biomolecules & biomedicine · 2025Article
- Electrocardiogram recording vest: A useful tool in explaining recurrent syncope.Cardiology journal · 2024Article
- Effect of physical exercise on metabolism in patients with atrial fibrillation.Frontiers in cardiovascular medicine · 2024Review
- Impact of diabetes mellitus severity, treatment regimen and glycaemic control on atrial fibrillation prevalence in the Polish population aged ≥ 65.Scientific reports · 2023Article
- Diabetes mellitus and atrial fibrillation-from pathophysiology to treatment.World journal of diabetes · 2023Review
- Early Diagnosis of Atrial Fibrillation and Stroke Incidence in Primary Care: Translating Measurements into Actions-A Retrospective Cohort Study.Biomedicines · 2023Article
- Surgical ablation for atrial fibrillation: impact of Diabetes Mellitus type 2.Cardiovascular diabetology · 2023Observational
- Atrial fibrillation: primary prevention, secondary prevention, and prevention of thromboembolic complications: part 1.Frontiers in cardiovascular medicine · 2023Review
- Role of obesity and hypertension in the incidence of atrial fibrillation, ischaemic heart disease and heart failure in patients with diabetes.Cardiovascular diabetology · 2021Article
- Higher long-term visit-to-visit glycemic variability predicts new-onset atrial fibrillation in patients with diabetes mellitus.Cardiovascular diabetology · 2021Article
Corrections and comments
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Authors and funding
14 authors at 8 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe global burden of atrial fibrillation (AF) and diabetes mellitus (DM) is constantly rising, leading to an increasing healthcare burden of stroke. AF often remains undiagnosed due to the occurrence in an asymptomatic, silent form, i.e., silent AF (SAF). The study aims to evaluate the relationships between DM and AF prevalence using a mobile long-term continuous ECG telemonitoring vest in a representative Polish and European population ≥ 65 years for detection of AF, symptomatic or silent.
methodsA representative sample of 3014 participants from the cross-sectional NOMED-AF study was enrolled in the analyses (mean age 77.5, 49.1% female): 881 (29.2%) were diagnosed with DM. AF was screened using a telemonitoring vest for a mean of 21.9 ± 9.1days.
resultsOverall, AF was reported in 680 (22.6%) of the whole study population. AF prevalence was higher among subjects with concomitant DM (DM+) versus those without DM (DM-) [25%, 95% CI 22.5-27.8% vs 17%; 95% CI 15.4-18.5% respectively, p < 0.001]. DM patients were commonly associated with SAF [9%; 95% CI 7.9-11.4 vs 7%; 95% CI 5.6-7.5 respectively, p < 0.001], and persistent/permanent AF [12.2%; 95% CI 10.3-14.3 vs 6.9%; 95% CI 5.9-8.1 respectively, p < 0.001] compared to subjects without DM. The prolonged screening was associated with a higher percentage of newly established AF diagnosis in DM+ vs DM- patients (5% vs 4.5% respectively, p < 0.001). In addition to shared risk factors, DM+ subjects were associated with different AF and SAF independent risk factors compared to DM- individuals, including thyroid disease, peripheral/systemic thromboembolism, hypertension, physical activity and prior percutaneous coronary intervention/coronary artery bypass graft surgery.
conclusionsAF affects 1 out of 4 subjects with concomitant DM. The higher prevalence of AF and SAF among DM subjects than those without DM highlights the necessity of active AF screening specific AF risk factors assessment amongst the diabetic population.
trial registrationNCT03243474.
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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.