Adverse Events Within 24 hours After 1070 Adult Brain Tumor Surgeries Recovered in a Neurocritical Care Unit or a Postanesthesia Care Unit.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: By convention, patients who have undergone a craniotomy for tumor are monitored in a neurocritical care unit (NCCU) overnight, yet there is little evidence to justify the need for such intense care. Here, we compared postoperative adverse events in patients after brain tumor surgeries surveilled in a NCCU overnight or postanesthesia care unit (PACU) for a shorter duration. METHODS: We retrospectively studied 1070 consecutive patients who underwent craniotomy for brain tumor between 2016 and 2021. Inclusion criteria were age ≥18 years and craniotomy for resection or biopsy of intracerebral or extracerebral tumors. Cohorts were divided into 2 groups based on recovery destination, NCCU or PACU. Medical history, preoperative and postoperative neuroimaging, surgical resection features, diagnosis, and postoperative adverse events within 24 hours were reviewed for all patients. RESULTS: < .001). CONCLUSION: The incidence of adverse events within 24 hours after brain tumor surgery was not different between patients being surveilled for a long period in a NCCU or for a short period in a PACU.
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How this classification was reachedexpand
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".