Day-case neurosurgery for brain tumours: the early United Kingdom experience
Bibliographic record
Abstract
Day-case biopsy and craniotomy for brain tumours have been reported as safe and feasible options for selected patients. The incidence and timing of complications after such procedures has also been characterized in recent publications. However, more widespread adoption of day-case cranial neurosurgery has not taken place. We report the first UK series of day-case surgery for intra-axial tumours, consisting of 30 image-guided biopsies and 11 craniotomies, taking place over 1 year from October 2006. Patients were studied prospectively and 27/30 biopsy and 9/11 craniotomy patients were discharged 6 h postoperatively. One biopsy case was admitted due to increased headache postoperatively, but with a normal CT and one craniotomy case had transient worsening of lower limb paresis requiring overnight admission. The three other overnight admissions were for patient preference. One biopsy patient was readmitted 30 h postoperatively with a seizure and discharged the following day. No patients suffered an adverse outcome. The results are presented together with the Toronto series of 284 cases over 11 years, also with no patients suffering an adverse outcome because of planned early discharge. These results suggest that day-case surgery for brain tumours is a safe and feasible option for patients in the UK.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".