Intractable seizures after a lengthy remission in childhood‐onset epilepsy
Bibliographic record
Abstract
OBJECTIVES: To establish the risk of subsequent intractable epilepsy after ≥2, ≥5, and ≥10 years of remission in childhood-onset epilepsy. METHODS: From the Nova Scotia childhood-onset epilepsy population-based cohort patients with all types of epilepsy were selected with ≥20 years follow-up from seizure onset (incidence cases). Children with childhood absence epilepsy were excluded. The rate of subsequent intractable epilepsy was then studied for patients with ≥5 years remission on or off AED treatment and compared with the rate for those with ≥2 and ≥10 years of remission. RESULTS: Three hundred eighty-eight eligible patients had ≥20 years follow-up (average 27.7 ± (standard deviation) 4 years) until they were an average of 34 ± 6.5 years of age. Overall, 297 (77%) had a period of ≥5 years of seizure freedom (average 21.2 ± 8 years), with 90% of these remissions continuing to the end of follow-up. Seizures recurred in 31 (10%) and were intractable in 7 (2%). For the 332 with a remission of ≥2 years seizure-free, 6.9% subsequently developed intractable epilepsy (p = 0.001). For the 260 with ≥10 years remission, 0.78% subsequently developed intractable epilepsy (p = 0.25 compared with ≥5 years remission). SIGNIFICANCE: Even after ≥5 or ≥10 years of seizure freedom, childhood-onset epilepsy may reappear and be intractable. The risk is fortunately small, but for most patients it is not possible to guarantee a permanent remission.
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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 | 0.001 |
| 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) | 0.002 | 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".