Mid- and long-term efficacy of surgical treatment of Vancouver B2 and B3 periprosthetic femoral fractures
Bibliographic record
Abstract
Abstract Background: The incidence of fractures around the femoral prosthesis among patients undergoing hip arthroplasty is increasing and has become the third leading cause of hip revision. While numerous methods for the surgical treatment of periprosthetic femoral fractures (PFFs) have been proposed, only few reports have examined the long-term efficacy of surgical treatment. This study aims to examine the mid-and long-term efficacy of surgical treatment among patients with Vancouver B2 and B3 PFFs.Methods: This retrospective study evaluated the surgical outcomes of patients with Vancouver B2 and B3 PFFs between 2007 and 2011. The minimum follow-up time was eight years. Fracture healing, prosthesis stability, complications, patient quality of life SF-36 score, and survival rate were evaluated during the follow-up assessments.Results: A total of 83 patients were included and had an average follow-up period of 120.3 months. Among these patients, 69 were classified as Vancouver B2 and were treated with a distal fixation stem, whereas 14 cases were classified as Vancouver B3 and were treated with modular femoral prosthesis by using a proximal femoral allograft technique. A total of 15 patients underwent secondary revision surgery, and prosthesis dislocation was identified as the main cause of secondary revision. 80 (96.4%) cases of fractures were clinically healed. The mortality rate in the first year after surgery was 8.4% (7/83). The overall 5-year Kaplan–Meier survival rate for these patients was 75.9%. Meanwhile, the 5-year Kaplan–Meier survival rate for the implants was 86.9%. The final follow-up SF-36 score of the patients was 48.3 ± 9.8.Conclusions: Patients with Vancouver B2 and B3 PFFs show high mortality in the first year after their surgery, and the Kaplan–Meier analysis results showed that such mortality tends to plateau after 5 years. Prosthesis dislocation was identified as the primary cause of secondary revision.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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 teacher head, 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".