ReviewNeuropsychiatric disease and treatment2023
Risk Factors Associated with Epilepsy Related to Cerebrovascular Disease: A Systematic Review and Meta-Analysis.
Review in Neuropsychiatric disease and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Frequency of seizures in post-cerebrovascular accident patients.Pakistan journal of medical sciences · 2026Article
- Nonlinear Association Between the C-Reactive Protein-To-Albumin Ratio and Post-Stroke Epilepsy Risk.CNS neuroscience & therapeutics · 2026Article
- Electroencephalography in stroke Care: From acute monitoring to Post-Stroke epilepsy.Clinical neurophysiology practice · 2026Review
- Etiologies of patients with adult-onset epilepsy over the past 25 years: a retrospective study in China.BMC neurology · 2025Article
- An automatic deep-learning approach for the prediction of post-stroke epilepsy after an initial intracerebral hemorrhage based on non-contrast computed tomography imaging.Quantitative imaging in medicine and surgery · 2025Article
- Long-Term Safety and Efficacy of Lacosamide Combined with NOACs in Post-Stroke Epilepsy and Atrial Fibrillation: A Prospective Longitudinal Study.Journal of personalized medicine · 2024Article
- The Association of Epileptic Seizures after Acute Ischemic Stroke with Cerebral Cortical Involvement and Electroencephalographic Changes.Medicina (Kaunas, Lithuania) · 2024Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: Stroke is one of the most frequent neurological syndromes in the adult population and the cause of 10% of all diagnosed epilepsies. It is attributed to the origin of up to 50% of them in adults >60 years of age. Although a few risk factors have been described and considered when modeling predictive tools, this aspect is still clinically complex. The objective of this study is to describe and compare predictor scales of post stroke epilepsy (PSE) in adult patients with better performance. Methods: A systematic review and meta-analysis were performed of studies published between 2010 and 2020 and found in PubMed, Scopus, EMBASE, LILACS, BVS, Google Scholar, and CENTRAL databases. Sixteen studies were included with a total of 298,694 patients with a diagnosis of stroke, 5590 presented late seizures (LS). Results: Hemorrhage, cortical involvement, and early seizure were the elements most associated with the risk of presenting late seizures. The SeLECT score demonstrated a low risk of bias with a high predictive ability in patients with ischemic stroke (AUC: 0.77 [95% CI: 0.71-0.82]). In patients with hemorrhagic stroke, the CAVE score demonstrated adequate predictive ability (AUC: 0.81 [95% CI: 0.76-0.86]), but an uncertain risk of bias. Research has established risk factors for post ictal epilepsy; however, the numerous ways of assessing data in studies and the difference in their designs make the task of producing a predictive scale that covers the most important risk factors and is reliable for application in the clinical setting, regardless of stroke etiology, very arduous. Conclusion: Hemorrhage, cortical involvement, and early seizure are associated with an increased risk of post ictal epilepsy. Also, elements such as age, traditional vascular risk factors, and functional assessment failed to reflect statistical significance. Finally, further research is required to refine the available predictive tools.
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