Global outcome in acute phase of treatment following moderate-to-severe traumatic brain injury from motor vehicle collisions vs assaults
Bibliographic record
Abstract
PRIMARY OBJECTIVE: To compare socio-demographic, medical characteristics and acute outcomes between patients with traumatic brain injuries (TBIs) from motor vehicle collision (MVC) or assault in an acute care setting. RESEARCH DESIGN: This descriptive, comparative retrospective cohort study included 415 patients with moderate and severe TBI secondary to an assault (n¼91) vs a motor vehicle collision (n=324). METHODS AND PROCEDURES: Outcome measures were length of stay (LOS) in the intensive care unit and in hospital, Extended Glasgow Outcome Scale (GOS-E), FIM® instrument (‘FIM’) and discharge destination. MAIN OUTCOMES AND RESULTS: Patients with TBI from MVC had a higher percentage of polytrauma, higher injury severity scores, required more orthopaedic surgeries and thoracic drain insertions. Patients with TBI from assault were more often non-Caucasian, young single men, less educated with higher unemployment rates and criminal records, with a history of alcohol and drug abuse and were more often intoxicated on admission. There was no significant group difference in the LOS and FIM ratings, but patients with assault-related TBI were more often discharged home and had a more favourable GOS-E. CONCLUSION: Variables such as injury severity, age, level of intoxication on admission and presence of surgeries should be considered when determining acute outcome.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.000 |
| 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".