ArticleScientific reports2025
The PLANS model predicts recurrent strokes in patients with minor ischemic strokes.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Development and validation of a prediction model for ischemic stroke recurrence risk in patients with ischemic stroke and atrial fibrillation.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
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Authors and funding
6 authors.
Funding
Abstract
Minor ischemic stroke (MIS) patients face significant risks of recurrent strokes, necessitating reliable predictive tools. This single-center retrospective study developed and validated a novel model for predicting 1-year stroke recurrence in MIS patients, defined as those with National Institutes of Health Stroke Scale scores < 4 within seven days of symptom onset. Among 218 patients (median age 64 years, 26.6% female), 32 (14.7%) experienced recurrent strokes within one year. Analysis of clinical and lifestyle variables identified physical activity, large artery stroke, admission NIHSS score, and smoking as significant predictors, forming the PLANS model. The model demonstrated superior predictive performance compared to the Essen model, with a higher C-index (0.780 vs. 0.556) and better calibration. Risk reclassification metrics showed significant improvements, with integrated discrimination improvement of 20.3%, continuous net reclassification improvement of 41.7%, and median risk score improvement of 18.5%. The PLANS model, incorporating both traditional and novel risk factors, provides a valuable tool for patient stratification and personalized secondary prevention strategies. External validation in diverse cohorts is warranted to confirm these promising results.
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