Rolandic epilepsy has little effect on adult life 30 years later
Bibliographic record
Abstract
OBJECTIVE: To establish the adult social outcome for childhood-onset rolandic epilepsy. METHODS: Patients with medication-treated rolandic epilepsy were identified from the Nova Scotia prospective population-based cohort of childhood-onset epilepsy. Epilepsy onset was in 1977-1985 and follow-up was in 2010-2013 with chart review plus structured telephone interview for those older than 21 years. RESULTS: Forty-two children developed rolandic epilepsy (6% of 692 incident epilepsy cases in the cohort). Thirty-two (76%) were contacted when they were older than 21 years. Epilepsy onset averaged 7.7 ± 2.3 years, follow-up 29.5 ± 2.8 years, and final age 37 ± 3.4 years. All had epilepsy remission and were off antiepileptic drug treatment for 21.4 ± 6.6 years. There were 2 minor injuries from seizures and only 1 death (from a snowmobile accident). Overall, 41% had ≥ 1 of 7 adverse social outcomes, 6 had 1, 4 had 2, and 3 had ≥ 3. These were failure to complete high school (n = 7), pregnancy outside of a stable relationship (<6 months) (n = 7), depression or other psychiatric diagnosis (n = 3), unemployment (n = 1), living alone (n = 5), never in a romantic relationship >3 months (n = 1), and poverty (n = 2). Those who did not complete high school were more likely to have parents with low academic achievement and/or low income (p < 0.02). By comparison, rates of ≥ 1 adverse social outcomes for other epilepsies with normal intelligence from this cohort varied from 62% to 76%. CONCLUSIONS: The adult social outcome for children with rolandic epilepsy is remarkably better than for those with other major epilepsies and normal intelligence.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".