Characteristics of first ever ischemic stroke in patients with early and late poststroke epilepsy
Bibliographic record
Abstract
Background: Stroke and epilepsy are common neurological disorders. Poststroke epilepsy (PSE) was classified early and late if seizures occurring within or after 1 week after stroke respectively. Poststroke epilepsy, could be as a complication or presenting symptoms of stroke. Method: One hundred and twenty-two patients [66 men (54.1%) and 56 women (45.9%)] with first-ever acute ischemic stroke and developing seizures after the stroke insult were enrolled in this study. NIH Stroke Scale (NIHSS) and modified Rankin’s Scale (mRS) were used to evaluate stroke severity and functional outcome respectively. EEG and radiological data, including ASPECT score, Duplex ultrasound and echocardiography were used to assess the patient. Results: Most of the cases of stroke developed PSE after 7 days (late PSE) (76.2%) in contrast to Early PSE was found in 23.8% and about one half of the patients experienced focal seizures. There significant association between PSE and functional stroke outcome, stroke severity, presence of MCA territory infarction, cortical involvement and ASPECT score. There is no significant relationship between early and late PSE as regard smoking, hypertension, IHD, seizure semiology, etiological type stroke on of TOAST classification, presence of hemorrhagic transformation Conclusion: Early PSE is significantly associated with severe stroke measured by NIHSS score, involvement of middle cerebral artery (MCA) territory, Alberta Stroke Program Early CT (ASPECT) score and severe functional outcome measured by mRS. While late onset epilepsy associated with atrial fibrillation (AF) and cortical involvement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".