Long-term mortality following trauma: 10 year follow-up in a population-based sample of injured adults.
Bibliographic record
Abstract
BACKGROUND: The aim of the study was to quantify trauma-related mortality in injured adults over 10 years postinjury. METHODS: A population-based matched cohort study used linked administrative data from Manitoba, Canada, to identify an inception cohort (1988-1991) of hospitalized trauma cases (ICD-9-CM 800-959.9) aged 18-64 years (n = 18,210) and a matched noninjured comparison group (n = 18,210). Mortality outcomes were obtained by linking the two cohorts with the Manitoba Population Registry for a period of 10 years postinjury. RESULTS: The adjusted all-cause mortality rate ratio (MRR) was 7.29 (95% CI 4.53-11.74) for the 60 days immediately postinjury. The MRRs ranged between 1.17 and 2.41 for the remainder of the 10 year follow-up period. The index injury was estimated to be responsible for 41% of all recorded deaths in the injured cohort. CONCLUSIONS: Estimates of the total mortality burden, based on the early inpatient period alone, substantially underestimates the true burden from injury.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".