Juvenile myoclonic epilepsy 25 years after seizure onset
Bibliographic record
Abstract
OBJECTIVE: To document the long-term evolution of juvenile myoclonic epilepsy (JME) in a population-based cohort. METHODS: All patients developing JME by 16 years of age in Nova Scotia between 1977 and 1985 were contacted in 2006-2008. RESULTS: Twenty-four patients (17 women) had JME, 3.5% of all childhood-onset epilepsy. Age at first seizure was 10.4 +/- 4.3 years. We contacted 23 of 24 (96%) at a mean age of 36 +/- 4.8 years. All were initially treated with antiepileptic drugs (AEDs). At the end of a 25.8 +/- 2.4-year follow-up, 11 (48%) had discontinued treatment: 6 were seizure-free (without AEDs for 5-23 years), 3 had myoclonic seizures only (without AEDs for >18 years), and 2 continued with rare seizures. Convulsive status epilepticus occurred in 8 (36%) and 3 had intractable epilepsy. About 70% reported good satisfaction with their health, work, friendships, and social life (Likert scales). Despite 87% high school graduation, 31% were unemployed. Sixteen live with a partner, 7 alone. Nine received antidepressant medications. Ten women had > or =1 pregnancy and 4 men fathered a child. Eleven pregnancies (80%) were unplanned, outside of a stable relationship. At least 1 major unfavorable social outcome was noted in 76%. CONCLUSIONS: Our sample size is modest but the long follow-up and population-based sampling is unique. All seizure types in juvenile myoclonic epilepsy (JME) resolved in 17% and for 13%, only myoclonus persisted. Therefore, one-third of people with JME have troublesome seizures vanish and antiepileptic drug treatment is no longer needed. Depression, social isolation, unemployment, and social impulsiveness complicate the lives of many patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".