ArticleThe international journal of cardiovascular imaging2021
Statistical shape analysis of the left atrial appendage predicts stroke in atrial fibrillation.
Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 28 citations in OpenAlex.
- History of stroke as a predictor of high left atrial fibrosis in patients with persistent atrial fibrillation-insight from the DECAAF II randomized trial.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2024Trial
- Three-Dimensional Left Atrial Geometry in Atrial Fibrillation: Imaging Biomarkers, Substrate Phenotyping, and Ablation Outcome Prediction.Diagnostics (Basel, Switzerland) · 2026Review
- RT-3DE TEE combined with 2D-STI to evaluate the correlation between left atrial and left auricular function and stroke in patients with non-valvular atrial fibrillation: a clinical investigation.BMC cardiovascular disorders · 2026Article
- A computational pipeline for clustering left atrial appendage morphology via elastic shape analysis.ArXiv · 2025Article
- The correlation between left atrial appendage morphology and thromboembolic risk in atrial fibrillation.Frontiers in stroke · 2025Review
- Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging.The international journal of cardiovascular imaging · 2024Article
- Leveraging 3D Atrial Geometry for the Evaluation of Atrial Fibrillation: A Comprehensive Review.Journal of clinical medicine · 2024Review
- Left Atrial Function and Volume Associations with Hemodynamics in a Representative Aged Cohort: Unlocking New Insights.Radiology. Cardiothoracic imaging · 2024Article
- A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.Scientific reports · 2024Article
- Slow blood-flow in the left atrial appendage is associated with stroke in atrial fibrillation patients.Heliyon · 2024Article
- A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.bioRxiv : the preprint server for biology · 2024Article
- On preserving anatomical detail in statistical shape analysis for clustering: focus on left atrial appendage morphology.Frontiers in network physiology · 2024Article
- Mechanisms and Prediction of Ischemic Stroke in Atrial Fibrillation Patients.Journal of clinical medicine · 2023Review
- Is It Safe to Preserve Left Atrial Appendage During Maze Procedure?Korean circulation journal · 2023Article
- Increased Blood Residence Time as Markers of High-Risk Patent Foramen Ovale.Translational stroke research · 2023Article
- Emerging role of artificial intelligence in cardiac electrophysiology.Cardiovascular digital health journal · 2022Review
- Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.Medical image analysis · 2022Article
- Stroke risk evaluation for patients with atrial fibrillation: Insights from left atrial appendage.Frontiers in cardiovascular medicine · 2022Review
- Evaluation of Stroke Risk in Patients With Atrial Fibrillation Using Morphological and Hemodynamic Characteristics.Frontiers in cardiovascular medicine · 2022Article
- Left atrial evaluation by cardiovascular magnetic resonance: sensitive and unique biomarkers.European heart journal. Cardiovascular Imaging · 2021Article
Corrections and comments
- Commented on by
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
The shape of the left atrium (LA) and left atrial appendage (LAA) have been shown to predict stroke in patients with atrial fibrillation (AF). Prior studies rely on qualitative assessment of shape, which limits reproducibility and clinical utility. Statistical shape analysis (SSA) allows for quantitative assessment of shape. We use this method to assess the shape of the LA and LAA and predict stroke in patients with AF. From a database of AF patients who had previously undergone MRI of the LA, we identified 43 patients with AF who subsequently had an ischemic stroke. We also identified a cohort of 201 controls with AF who did not have a stroke after the MRI. We performed SSA of the LA and LAA shape to quantify the shape of these structures. We found three of the candidate LAA shape parameters to be predictive of stroke, while none of the LA shape parameters predicted stroke. When the three predictive LAA shape parameters were added to a logistic regression model that included the CHA
Indexed as
Identifiers
What OpenQuestion holds
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.