Cognitive changes after unilateral cortico-amygdalohippocampectomy unilateral selective-amygdalohippocampectomy mesial temporal lobe epilepsy.
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to compare neuropsychological outcome at 1-year follow-up in patients with medically refractory unilateral mesial temporal lobe epilepsy (MTLE) due to hippocampal sclerosis (HS) treated by a cortico-amygdalohippocampectomy (CAH) or a selective-amygdalohippocampectomy (SAH). METHODS: Data for a series of 72 adult patients who underwent surgery for MTLE/HS were evaluated. Thirty-six patients underwent CAH and 36 SAH. All patients underwent neuropsychological evaluation before and 1 year after surgery. RESULTS: The intelligence quotient increased postoperatively in both surgical groups. Memory evaluation in the CAH group revealed a postoperative decline in nonverbal memory after right-sided resection and a postoperative decline in verbal memory after left-sided resection. In the SAH group, there was a slight postoperative decline only in verbal memory after left-sided resection, but other memory function was well preserved. However, no significant difference was found between two approaches regarding memory. There was no also statistically significant difference between two approaches in terms of seizure outcome at 1-year follow-up. CONCLUSIONS: Our results suggest that in the clinical planning of seizure treatment, the optimal type of surgical approach is dependent on the outcome predictions, rather than on any supposed advantages to postoperative memory function.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".