Long-Term Outcomes after Injury in the Elderly
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
BACKGROUND: The lasting impact of injury on lifestyle in the elderly remains poorly defined. The purpose of this study was to determine the long-term quality-of-life outcomes in elderly trauma patients. METHODS: The trauma registry at a regional trauma center was used to identify hospital survivors of injury > or = 65 years old discharged from April 1996 to March 1999. The 36-Item Short Form (SF-36) Health Survey was administered to this group by telephone interview and the scores compared with age-adjusted Canadian norms. Comparisons with test were made for continuous data. RESULTS: Complete data collection was achieved in 128 of 171 (75%) study patients. The mean Injury Severity Score was 21, the mean initial Glasgow Coma Scale score was 13, and the mean age was 74. Most (97%) were victims of blunt trauma. Compared with Canadian age-adjusted norms, there was a significant (p < 0.05) decrease in seven of eight SF-36 domains: Physical Functioning, Role-Physical and Role-Emotional (limitations secondary to physical and emotional health), Social Functioning, Mental Health, Vitality, and General Health. Before injury, most (98%) were living independently at home. However, at long-term follow-up (mean, 2.8 years; range, 1.5-4.5 years), only 63% were living independently and 20% still required home care. CONCLUSION: Although the majority of elderly injury survivors achieve independent living, long-term follow-up indicates significant residual disability in quality of life as measured by the SF-36.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it