Stabilization of Vancouver B Periprosthetic Femur Fractures With Cerclage Wiring: A Retrospective Chart Review
Bibliographic record
Abstract
BACKGROUND: While biomechanical and clinical studies detailing the equivalence and, sometimes, the superiority of cerclage wiring fixation compared to plate fixation in select fractures (Vancouver B1 and C) exist, no studies exist detailing outcomes after cerclage wiring fixation in all Vancouver B fracture types. This study explores whether there is a difference in clinical outcomes between Vancouver B fractures fixed with cerclage wiring and those without. METHODS: This retrospective multicenter study reviewed 295 patients from 2007 to 2018 with periprosthetic femur fractures. Vancouver B periprosthetic fractures stabilized utilizing cerclage wiring were identified and compared against fractures stabilized without cerclage wiring, with 33% being B1, 48.4% B2, and 18.6% B3 fractures. Demographics, injury details, fracture classification, surgical details, fracture union, and postoperative complications were recorded for each patient. RESULTS: A majority of our patients were females (65.9%) and were older than 71 years of age (65.6%) without diabetes (63.3%) or smoking history (92.2%). Sixty-nine patients progressed to fracture union (76.7%), two (2.2%) to delayed union, and 19 (21.1%) to nonunion. There was no difference in the union rate (p = 0.98) or time to union (p = 0.91) between the fixation methods. Finally, there was no difference in the infection rate (p = 0.81), re-fracture rate (p = 0.87), or re-operation rate (p = 0.75) between the fixation methods. CONCLUSION: Periprosthetic femur fractures are common injuries, most commonly occurring after low-energy mechanisms in the elderly female population. While the Vancouver fracture pattern helps to guide the surgical construct used for fixation, the use of cerclage wires does not impact bony union in these injuries. Interestingly, increasing age and female gender were associated with increased union rates. Surgeons should individually consider each patient's demographic as well as fracture type when deciding which construct will achieve stable fixation that allows for fracture healing.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| 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".