[Pediatric intractable epilepsy surgery].
Bibliographic record
Abstract
OBJECTIVE: To explore the strategy of pediatric intractable epilepsy surgery. METHODS: The clinical data of 96 pediatric cases with intractable epilepsy and epilepsy syndromes underwent surgical treatment from April 2004 to April 2006 were retrospectively analyzed. RESULTS: The surgical treatments were performed based on the results of comprehensive data from neurological, neurosurgical and pediatric departments. Among of them, 78 cases were performed with curative procedure, 17 cases with palliative procedure and 1 case with stereotactic damage procedure. The surgical effect was judged with Engel's standard, 58 cases had no seizure during 14 to 26 months follow-up, 26 cases had significantly improved in seizure control and the total efficiency was 87.5%. 81 cases had improvements in neuropsychological tests. 22 cases had postoperative complications such as neuro-dysfunctions and 15 cases were gradually recovered after the period of follow-up ended, 1 case died of CSF over drainage after operation 3 months. CONCLUSIONS: Pediatric patients with symptomatic epilepsy and epilepsy syndromes are suitable to surgical treatment, the results are satisfactory in seizure control and neuropsychological function tests.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".