Feasibility and Clinical Utility of Early Electroencephalogram (EEG) in Children With First Seizure
Bibliographic record
Abstract
The feasibility and clinical utility of early electroencephalogram (within 48 hours) was studied in 127 children (age, 1 month-17 years) referred for a "first seizure." The electroencephalogram was considered late after 48 hours. Electroencephalogram abnormalities were classified as nonepileptiform or epileptiform. Children were classified as having an "epileptic" or "nonepileptic" event. An early electroencephalogram was obtained in 23 (18%). Late referral (n = 36), weekend event (n = 23), difficulty contacting families (n = 11), parental schedules (n = 9), and laboratory scheduling (n = 11) resulted in late electroencephalograms. All 94 children with an epileptic event had an electroencephalogram, 19 (20%) within 48 hours. Results were abnormal in 9 (47%) early (7 epileptiform, 2 nonepileptiform) and 35 (44%) late (30 epileptiform, 5 nonepileptiform). Increased abnormalities were not seen with early electroencephalography (P = .50). Early electroencephalograms may not be feasible in the pediatric population and did not show a higher yield of abnormalities.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".