P.031 Waiting times for assessment and epilepsy surgery at the epilepsy program of the University of Saskatchewan
Bibliographic record
Abstract
Background: Epilepsy surgery remains one of the most underused of all current medical interventions. It is estimated that less than 1% of patients with drug-resistant epilepsy are referred to specialized centers. The average delay from onset of seizures to surgical procedures is between 10 to 20 years Methods: In this study we describe the waiting times from the diagnosis of epilepsy to the assessment and epilepsy surgery at the epilepsy center of the University of Saskatchewan (SEP) Results: We included 70 patients assessed in the epilepy program between 2007 and 2015. Mean age of patients was 42.2+13. The time from the diagnosis of epilepsy to the referral was 16 years. The times for the for assesment and testing were the following: to the first consult with the epileptologist was 208 months, to the neuropsychological test was 201 months, to the video-EEG telemetry 219 months, to the first consult to neurosurgery 227 months and finally to the epilepsy surgery was 238 months. Conclusions: This study shows that patients with complex epilepsy in Canada are waiting significant time to be properly diagnosed and treated. Our study shows similar waiting times to otehrdeveloped countries suggesting a global problem in the reference of patients to epilepsy programs.
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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 | 0.002 | 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) | 0.032 | 0.002 |
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".