Functional Outcomes of Elderly Patients With Nonoperatively Treated Acetabular Fractures That Meet Operative Criteria
Bibliographic record
Abstract
OBJECTIVES: To report functional outcomes of displaced acetabular fractures treated nonoperatively in the geriatric patient population. DESIGN: Retrospective case series. SETTING: Two Level I trauma centers. PATIENTS: Twenty-seven patients 60 years of age or older who sustained displaced acetabular fractures during an 11-year period. INTERVENTION: Nonoperative treatment. MAIN OUTCOME MEASUREMENTS: Primary outcome measurements were Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores and Short Form 8 (SF-8) scores. Secondary outcome measurements were conversion to open reduction and internal fixation or total hip arthroplasty and 1-year mortality. RESULTS: Twenty-six patients completed the WOMAC and SF-8 surveys. The overall WOMAC score was 12.9 ± 15.6 (range, 0-59.4). The average physical SF-8 was 51.1 ± 8.7 (range, 30.4-58.6), and the average mental SF-8 was 55 ± 6.2 (range, 30.4-58.6). The 1-year mortality rate was 24%. Conversion of treatment occurred in 15% of patients. CONCLUSIONS: Elderly patients with fracture patterns that would qualify for operative treatment in younger healthy patients had surprisingly good outcome scores when treated nonoperatively. LEVEL OF EVIDENCE: Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
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.
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 | 0.000 | 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 | 0.000 | 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) | 0.001 | 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".