Understanding the natural history of adult temporal lobe epilepsy
Bibliographic record
Abstract
Temporal lobe epilepsy (TLE) is the most common type of epilepsy in adults. The literature in this field supports the notion than many patients become candidates for surgery and little is known about the group of patients who do not require surgical treatment. This is a retrospective cohort study that included all patients with TLE assessed and followed by the Saskatchewan Epilepsy Program since 2007. Mild course was defined as patients not having seizures, using or not AEDs at last follow up. Severe course of TLE was considered in patients with continuous seizures and patients who had epilepsy surgery. Descriptive statistics were used. OR and CI were calculated. One hundred and fifty nine patients were included. Age of patients at last follow up was 46.04 + 14.4 (range 19-88) years. Mean follow up of patients was 43.46+ 22.6 (6 to 84) months. Fourth six patients (29%) were seizure-free with AEDS (mild course TLE) and 113 (61%) had severe course of TLE. Patients with mild course of TLE were older (p 0.002), with a late onset of epilepsy (p< 0.001) and their epilepsy evolution was shorter (p<0.001). Our study shows that not all the patients with TLE require surgery and that a fair percentage of patients can be controlled with medication.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".