Mortality among older adults after a traumatic brain injury: A meta-analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PRIMARY OBJECTIVE: To examine mortality rates among older adults (≥60 years) post-traumatic brain injury (TBI). RESEARCH DESIGN: Systematic review and meta-analysis. METHODS AND PROCEDURES: Using multiple databases, a literature search was conducted for articles on mortality after TBI published up to July 2011. Information on patient characteristics (age, Glasgow Coma Scale (GCS), injury aetiology, etc.), mortality rates, time to death and study design was extracted and pooled. MAIN OUTCOMES AND RESULTS: Twenty-four studies had an overall mortality rate of 38.3% (CI 27.1-50.9%). The odds of mortality for those over 75 years compared to those of 65-74 years was 1.734 (CI = 1.311-2.292; p < 0.0001). Pooled mortality rates for mild (GCS 13-15), moderate (GCS 9-12) and severe (GCS 3-8) head injuries were 12.3% (CI = 6.1-23.3%), 34.3% (CI = 19.5-53.0%) and 65.3% (CI = 53.1-75.9), respectively. Odds ratios comparing severe to mild and moderate to mild head injuries were 12.69 (CI = 5.29-30.45; p < 0.0001) and 5.31 (CI = 3.41-8.29; p < 0.0001), respectively. There was no significant difference in the odds of death between severe and moderate injuries (p = 0.116). CONCLUSIONS: These mortality rates associated with moderate and severe injuries may be attributed to complications, chronic disease prevalence, conservative management techniques or the consequences of biological ageing.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.016 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 it