ReviewFrontiers in cardiovascular medicine2022
Finding low CHA2DS2-VASc scores unreliable? Why not give morphological and hemodynamic methods a try?
Review in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Evaluation of machine learning models for stroke risk prediction in atrial fibrillation: a systematic review and meta-analysis.BMC cardiovascular disorders · 2026Pooled it
- Beyond CHAAnnals of biomedical engineering · 2026Article
- Development and Initial Validation of the Novel Computational Method for Dynamic Intracardiac Blood Flow Evaluation.Diagnostics (Basel, Switzerland) · 2026Article
- Evaluating PERFAMLI and CHA₂DS₂-VASc scoring systems in predicting left atrial thrombosis in non-valvular atrial fibrillation.Journal of cardiothoracic surgery · 2026Article
- MAPH score improves stroke risk prediction in paroxysmal atrial fibrillation: a comparison with CHA₂DS₂-VASc.Cardiology journal · 2026Article
- Development and validation of interpretable machine learning models for predicting stroke in NVAF patients with CHAFrontiers in cardiovascular medicine · 2026Article
- Clinical Perspectives on Stroke Prevention in Patients with Non-valvular Atrial Fibrillation in the Philippines.Cureus · 2025Review
- A computational pipeline for clustering left atrial appendage morphology via elastic shape analysis.ArXiv · 2025Article
- Digital twin integrating clinical, morphological and hemodynamic data to identify stroke risk factors.NPJ digital medicine · 2025Article
- Digital Twin Models in Atrial Fibrillation: Charting the Future of Precision Therapy?Journal of personalized medicine · 2025Review
- Left Atrial Appendage Thrombus in Low CHA2DS2VASc Score in Persistent Atrial Fibrillation.Cureus · 2025Article
- Cardiometabolic index as a predictor of major adverse cardiovascular events in atrial fibrillation: insights from a community-based cohort.Frontiers in endocrinology · 2025Article
- The correlation between left atrial appendage morphology and thromboembolic risk in atrial fibrillation.Frontiers in stroke · 2025Review
- Multiphysics simulations reveal haemodynamic impacts of patient-derived fibrosis-related changes in left atrial tissue mechanics.The Journal of physiology · 2024Article
- A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.Scientific reports · 2024Article
- A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.bioRxiv : the preprint server for biology · 2024Article
- The Challenge of Managing Atrial Fibrillation during Pregnancy.Reviews in cardiovascular medicine · 2023Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients with atrial fibrillation (AF) suffer from a high risk of thrombosis. Currently, the CHA2DS2-VASc score is the most widely used tool for risk stratification in patients with AF, but it has disappointing accuracy and limited predictive value, especially in those with low scores. Thrombi in patients with AF mostly grow in their left atrial appendages (LAA), which is directly related to the abnormal morphology of the LAA or the left atrium and the unusual hemodynamic state around LAA, which may sensitively evaluate the risk of thrombosis complications in patients with AF and bring bases to clinical plans of medication and operation. Therefore, we investigated the research progress of hemodynamic and morphological studies about the predictive value of thrombosis risk in patients with AF, intending to discuss the prediction potential of morphological and hemodynamic indexes when compared with the presently used CHA2DS2-VASc system and how to build a more precise thromboembolic event prediction model for patients with AF.
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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 Socratic graph.