How long for epilepsy remission in the <scp>ILAE</scp> definition?
Bibliographic record
Abstract
Revision of the operational definition of epilepsy1 has served in part as motivation to gather welcome new data on the time required for epilepsy to be considered in remission. In a recent study, Sillanpää2 and colleagues followed 148 patients with childhood-onset epilepsy. For certain subgroups, the 5-year remission was as predictive as a 10-year remission of a long-term remission. However, for other subgroups, the 10-year remission was more predictive of long-term remission. For example, as estimated from their Figure 3, both for all patients and for patients with generalized epilepsy, 5-year remissions with the last 2 years off antiseizure medicines were associated with subsequent relapses in about 15%, with the 95% confidence intervals (CIs) extending above 20%. In comparison, all patients and patients with generalized seizures who were 10-years' seizure-free with the terminal 5 years off antiseizure medicines had a relapse rate <5% and an upper confidence limit of around 15%. The traditional epilepsy definition of two unprovoked seizures >24 h apart was modified to make it possible to “outgrow” epilepsy. What seizure-free period would designate a likely condition of no future seizures? The Task Force recognized that relapse rates for people with epilepsy probably always remain above baseline general population levels. For that reason, the Task Force avoided the word “cure.” We employed “resolved” as a descriptor, rather than “remission,” which some people associate with cancer. In the absence of solid data, the Task Force chose the conservative time-period of 10 years of seizure freedom and 5 years off antiseizure medicines. The study by Sillanpää2 is one investigation with a relatively small sample size and subjects having limited etiologies of epilepsy, in that all had childhood-onset epilepsy. Relapse rates might vary considerably among different populations with varied epilepsy etiologies. Self-limited age-dependent syndromes and other special etiologic categories might merit separate consideration. For these reasons, the Task Force and the International League Against Epilepsy (ILAE) consider it premature to alter the published definition of epilepsy,1 but we can envision doing so in the future after further accumulation of broadly applicable data and larger cohort sizes from which to extrapolate findings. None of the coauthors have a conflict of interest related to the basic definition of epilepsy. We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.
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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 | 0.020 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| 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".