Long-term survival following traumatic brain injury
Bibliographic record
Abstract
PURPOSE: The study used a retrospective cohort design to establish long-term mortality rates and predictors of mortality for persons after moderate to severe traumatic brain injury (TBI). METHOD: Consecutive records of persons with moderate to severe TBI who were discharged from a large rehabilitation hospital in Pittsburgh, Pennsylvania in the years 1974-1984, 1988 and 1989 were reviewed. RESULTS: Six hundred and forty-two eligible individuals were identified and mortality was ascertained up to 24 years post injury. One hundred and twenty-eight of these individuals were found to be deceased. Poisson regression analyses revealed at least a 2-fold increased risk for mortality compared to the general population. Pre-injury characteristics and levels of disability at discharge from in-patient rehabilitation were among the strongest predictors of mortality. CONCLUSIONS: These data constitute evidence for premature death in the post-acute TBI population following a moderate to severe head injury and are discussed in relation to other research in the area.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".