ArticleAnnals of neurology2025
The Role of Electroencephalography in Predicting Post-Stroke Seizures and an Updated Prognostic Model (SeLECT-EEG).
Article in Annals of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Continuous Versus Short EEG After Ischemic Stroke: What cEEG Adds for Detecting Abnormalities and Predicting Post-Stroke Epilepsy.Annals of neurology · 2026Article
- Post-Stroke Epileptogenesis as a Dynamic Network Process: State-Dependent Biomarkers, Longitudinal Monitoring, and the Concept of an Irritable Brain State.International journal of molecular sciences · 2026Review
- From Acute Symptomatic Seizures to Post-Stroke Epilepsy: A Narrative Review of Diagnosis and Management.Journal of clinical medicine · 2026Review
- Nonlinear Association Between the C-Reactive Protein-To-Albumin Ratio and Post-Stroke Epilepsy Risk.CNS neuroscience & therapeutics · 2026Article
- Hydrogels in Neurological Disorders: Emerging Diagnostic and Therapeutic Applications.International journal of nanomedicine · 2026Review
- Post-stroke seizures: classification, risk prediction, and management.Frontiers in neurology · 2026Review
- Epileptogenesis After Stroke: Current Insights Into Molecular and Structural Mechanisms.Cureus · 2026Review
- Characterizing inflammatory biomarkers in post-stroke seizure risk and outcome prognostication.PloS one · 2026Article
- Electroencephalography in stroke Care: From acute monitoring to Post-Stroke epilepsy.Clinical neurophysiology practice · 2026Review
- Pharmacological strategies for preventing post-stroke seizures and epilepsy.Frontiers in neurology · 2025Review
- A machine learning model for predicting post-stroke epilepsy risk by integrating multimodal EEG-fMRI and clinical biomarkers.Frontiers in neurologyArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveSeizures negatively impact stroke outcomes, highlighting the need for reliable predictors of post-stroke epilepsy. Although acute symptomatic seizures are a known risk factor, most stroke survivors who develop epilepsy do not experience them. Early electroencephalography (EEG) findings may enhance risk prediction, particularly in patients without acute symptomatic seizures, aiding in patient management and counseling.
methodsWe conducted a multicenter cohort study using data from 1,105 stroke survivors (mean age 71 years, 54% male) with neuroimaging-confirmed ischemic stroke who underwent EEG within 7 days post-stroke. Electrographic biomarkers, including epileptiform activity and regional slowing, were analyzed for their association with post-stroke epilepsy using Cox proportional hazards regression and Fine-Gray subdistribution hazard models, adjusted for differences in EEG timing and patient characteristics.
resultsPost-stroke epilepsy developed in 119 patients (11%), whereas 233 (21%) had acute symptomatic seizures. The 5-year epilepsy risk was 42% (95% confidence interval [CI]: 30-49%) in patients with epileptiform activity versus 13% (95% CI: 9-16%) in those without. Regional slowing doubled the 5-year epilepsy risk (23%, 95% CI: 17-30% vs 11%, 95% CI: 7-16%). Epileptiform activity (subdistribution hazard ratio: 2.3, 95% CI: 1.5-3.4, p < 0.001) and regional slowing (subdistribution hazard ratio: 1.7, 95% CI: 1.1-2.7, p = 0.02) were independently associated with post-stroke epilepsy. A novel prognostic model, SeLECT-EEG (concordance statistic: 0.75, 95% CI: 0.71-0.80), outperformed the previous standard (SeLECT
interpretationElectrographic biomarkers improve post-stroke epilepsy prediction beyond clinical risk factors. The SeLECT-EEG model enhances early risk stratification, particularly in patients without acute symptomatic seizures, informing management strategies and patient counseling. ANN NEUROL 2025;98:814-825.
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.