Traumatic Brain Injury in Intoxicated Patients
Bibliographic record
Abstract
BACKGROUND: We sought to evaluate the effect alcohol intoxication may have had in nonsurgically treated patients with severe traumatic brain injury. METHODS: The Montreal General Hospital Traumatic Brain Injury Registry was used to identify all adult patients with a Glasgow Coma Scale score < or =8 at admission, within a 15-month period. All charts were retrospectively reviewed. RESULTS: Twenty-three patients had toxic blood alcohol levels (BAL > or =21.7 mmol/L), 24 were alcohol negative (BAL <3 mmol/L), and 10 were alcohol-influenced or had unknown BAL. Patients were more likely to have intracranial pressure monitoring if they had multiple intracranial hemorrhages, sustained multiple injuries, or had a post-resuscitative Glasgow Coma Scale score < or =8. Intoxicated patients had a mean delay of 151 minutes more in the insertion time of an intracranial pressure monitoring device, compared with alcohol-negative patients. CONCLUSIONS: Alcohol was a confounding factor in the treatment of some of our patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".