Periprosthetic Femoral Fractures: A Retrospective Study of 24 Cases
Bibliographic record
Abstract
Periprosthetic fractures are classically considered rare. Their incidence is constantly increasing due to the aging of the population and the large number of prostheses put in place. The management of this pathology is not always easy. The therapeutic strategy should integrate the patient's condition, his functional expectation and the integrity of the sealing of the implant and the neighboring bone stock. The main objective is to restore limb and joint function by ensuring bone consolidation and implant stability. In this work, we report the results of a retrospective study of 24 cases of periprosthetic fractures of the femur following prostheses (intermediate and total) of the hip and knee with a minimum follow-up of 6 months. The Vancouver classification was used to guide the therapeutic choice and the functional results were very satisfactory. The objective of this study is to take stock of the treatment and management of periprosthetic fractures of the femur.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".