Tuesday July 4, 2006 12:00-13:30 Hall 5c Platform Session Paediatric Epileptology II: Paediatric Epilepsy
Bibliographic record
Abstract
1 G. Ronen, 2,3 D. Buckley, 3 S. Penney, and 4 D. Streiner ( 1 McMaster University, Hamilton, Canada , 2 Memorial University, St. John's, Canada , 3 Janeway Child Health Center, St. John's, Canada , 4 University of Toronto, Toronto, Canada ) Purpose: To prospectively evaluate survival and neurodevelopmental outcome following neonatal seizures (NSz). Most recent population based data are from 1959–1962 and may not be generalisable to current neonatal populations. Method: We collected prospective data on all neonates (<44 weeks gestation) with clinical NSz (= paroxysmal behaviours with high specificity for “epileptic” seizures) from 1990–1995, targeting all live births in Newfoundland. Uniform video assisted training for standardised seizure recognition preceded the study (J Pediatr 1999;134:71). Follow-up data were analysed 10–14 years later. Results: Data were analysed for 87/90 children (61 term and 26 preterm). At follow-up 30 children (34%) were considered to be functioning normally (including 44% of the term infants and 12% of the preterm group). 21 children (24%) had died (including16% of term infants and 42% of preterm children). Disabilities were apparent in 36 (41%) (of whom 24 (39%) were term infants and 12 (46%) were preterm). Among the 66 survivors, 17/65 (26%) still had epilepsy, 15/66 (23%) had cerebral palsy, 13/65 (20%) were intellectually retarded, and 16/65 (25%) were considered to have learning disabilities. Details of the probable aetiologies of the seizure problems have been identified and will be provided in the full presentation. Conclusion: Preterm infants with seizures are at higher risk for death and impairment compared to term infants. The 12% normal outcome for preterm is lower than in most studies, possibly reflecting their outborn nature. The lower frequency of normal outcome compared to 47% from 1959–1962 may primarily be due to reduction in hypocalcemic seizures. Cognitive deficits are present in 45% of survivors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.847 | 0.660 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".