PERIPROSTHETIC FEMORAL FRACTURES AFTER TOTAL HIP ARTHROPLASTY
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 management of periprosthetic fracture following a total hip arthroplasty is difficult, requiring expertise in both trauma and revision surgery. With rising numbers of patients in the population living with hip prostheses in situ, the frequency of these fractures is increasing, and controversy remains over their ideal management. The objective of this study was to review all periprosthetic fractures at a single institution to identify injury and treatment patterns and their associated clinical outcomes. METHODS: Fifty-four periprosthetic fractures in 50 patients were reviewed to determine the relative frequency of fracture types, their complication rates and the clinical outcomes. Patient data were obtained through review of the clinical notes and individual patient follow up. Clinical outcomes were evaluated using the Oxford Hip Score and Harris Hip Score. RESULTS: The 54 fractures were classified using the Vancouver system, most of which were type B1 (20) or type B2 (10). The mean time to union for all fracture types was 4.6 months. A high non-union rate was seen among fractures fixed operatively. Fifteen per cent of fractures went on to develop loosening following treatment, suggesting an underrecognition at the time of injury. The average Harris Hip Score was 73.1 and Oxford Hip Score 30.3 for all fracture types at a mean follow up of 3.3 years. In the 15 patients treated with revision surgery, the most common complication was dislocation (27%). CONCLUSION: Treatment of patients with periprosthetic fractures requires recognition of the challenging nature of these injuries, the associated poor prognosis and the high complication rate.
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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 | 0.001 | 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 | 0.000 |
| 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 it