Periprosthetic Fracture of the Femur after Hip Arthroplasty: The Clinical Outcome Using Cortical Strut Allografts
Bibliographic record
Abstract
Between 1993 and 1998, 15 patients with periprosthetic fractures of the femur after hip arthroplasty were treated using deep-frozen cortical strut allografts as an adjunct support after internal fixation or revision arthroplasty. According to the Vancouver classification system, there were 7 type B1, 2 type B2, 4 type B3 and 2 type C fractures. Seven patients had severe osteopenia, 10 patients had bone defects between 2 to 7 cm and 2 were associated with infection. Nine patients had internal fixation of the fracture using a compression plate, and 6 had revision arthroplasty using a long-stemmed femoral prosthesis. The average length of the allograft was 13.9 cm. At an average follow-up of 31 months, all the patients had a satisfactory functional result except one who had a leg length discrepancy of 4 cm due to multiple operations. There were no non-unions, malunions or infections. The fractures healed between 10 to 24 weeks (average, 15.6 weeks). In conclusion, a cortical strut allograft associated with internal fixation can be an effective method of treating periprosthetic fractures of the femur after hip arthroplasty.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 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".