ArticleFrontiers in cardiovascular medicine2022
Multimodal Approach for the Prediction of Atrial Fibrillation Detected After Stroke: SAFAS Study.
Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03570060 (Stepwise Screening for Silent Atrial Fibrillation After Stroke), which is not on this map. Cited by 11 papers, 2 of them syntheses that pooled it.
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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.
Stepwise Screening for Silent Atrial Fibrillation After Stroke
Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Serum biomarkers insights into occult atrial fibrillation related to embolic strokes of undetermined source: a narrative review.BMC neurology · 2026Pooled it
- Molecular biomarkers predicting newly detected atrial fibrillation after ischaemic stroke or TIA: A systematic review.European stroke journal · 2023Pooled it
- Phenotypic determinants of atrial fibrillation in ischaemic stroke: a retrospective study.Open heart · 2026Article
- Short-duration atrial fibrillation in ischemic stroke: high risk despite subclinical burden-a prospective cohort study.BMC cardiovascular disorders · 2025Article
- Atrial Fibrillation Already Known Versus Detected After Stroke: Same Battle?Journal of the American Heart Association · 2024Article
- Stroke-heart syndrome: current progress and future outlook.Journal of neurology · 2024Review
- Diagnostic Utility of N-Terminal Pro-B-Type Natriuretic Peptide in Identifying Atrial Fibrillation Post-Cryptogenic Stroke: A Systematic Review and Meta-Analysis.Pathophysiology : the official journal of the International Society for Pathophysiology · 2024Article
- Distribution of atrial cardiomyopathy markers and association with atrial fibrillation detected after ischaemic stroke in the SAFAS study.Stroke and vascular neurology · 2024Article
- Incremental value of the combined brain-cardiac CT protocol on prediction of atrial fibrillation after stroke.European stroke journal · 2023Article
- Insights into the Role of Galectin-3 as a Diagnostic and Prognostic Biomarker of Atrial Fibrillation.Disease markers · 2023Review
- Development and external validation of a prognostic model for occult atrial fibrillation in patients with ischemic stroke.Frontiers in neurology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Intensive screening for atrial fibrillation (AF) has led to a better recognition of this cause in stroke patients. However, it is currently debated whether AF Detected After Stroke (AFDAS) has the same pathophysiology and embolic risk as prior-to-stroke AF. We thus aimed to systematically approach AFDAS using a multimodal approach combining clinical, imaging, biological and electrocardiographic markers. Methods: Patients without previously known AF admitted to the Dijon University Hospital (France) stroke unit for acute ischemic stroke were prospectively enrolled. The primary endpoint was the presence of AFDAS at 6 months, diagnosed through admission ECG, continuous electrocardiographic monitoring, long-term external Holter during the hospital stay, or implantable cardiac monitor if clinically indicated after discharge. Results: Of the 240 included patients, 77 (32%) developed AFDAS. Compared with sinus rhythm patients, those developing AFDAS were older, more often women and less often active smokers. AFDAS patients had higher blood levels of NT-proBNP, osteoprotegerin, galectin-3, GDF-15 and ST2, as well as increased left atrial indexed volume and lower left ventricular ejection fraction. After multivariable analysis, galectin-3 ≧ 9 ng/ml [OR 3.10; 95% CI (1.03-9.254), Conclusion: A multimodal approach combining imaging, electrocardiography and original biological markers resulted in good predictive models for AFDAS. These results also suggest that AFDAS is probably related to an underlying atrial cardiopathy. Clinical Trial Registration: [www.ClinicalTrials.gov], identifier [NCT03570060].
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