Morbidity in epilepsy surgery: an experience based on 2449 epilepsy surgery procedures from a single institution
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECT: In this paper the authors aimed to provide information related to major and minor surgical and neurological complications encountered following stereoelectroencephalography and epilepsy surgery.Methods The authors performed a retrospective review of 491 and 1905 patients who underwent intracranial electrode implantation and epilepsy surgery, respectively, between 1976 and 2006 at the Montreal Neurological Institute. All intracranial electrode implantations and surgical procedures were performed by 1 surgeon (A.O.). RESULTS: A total of 6415 electrode implantations and 2449 surgical procedures were done. There were no deaths related to either procedure. There were no major complications after intracranial electrode implantation, and the risks of infection and intracranial hematoma were found to be 1.8 and 0.8%, respectively. The number of electrodes per lobe (p = 0.05) and number of lobes covered (p = 0.04) were significant risk factors for hematoma and infection. Regarding epilepsy surgery, there were no major surgical complications, and the overall minor complication rate was 2.9%. Infection was the most common complication (1.0%), followed by intracranial hematoma (0.7%). Significant risk factors associated with hematomas and infections were the number of reoperations (p = 0.001) and older patient age (p = 0.03). Minor and major neurological complication rates were 2.7 and 0.5%, respectively, and the rate of overall neurological morbidity was 3.3%. Hemiparesis was the most frequent neurological complication (1.5%). CONCLUSIONS: Based on the authors' experience, intracranial electrode implantation is an effective method with an extremely low morbidity rate. Moreover, epilepsy surgery is safe, especially in experienced hands.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it