Does an additional attachment plate improve fixation in Vancouver type B1 and C periprosthetic femoral fractures? A retrospective comparative study
Bibliographic record
Abstract
INTRODUCTION: This study compared the clinical and radiologic outcomes of well-fixed periprosthetic femoral fractures after hip arthroplasty according to the use of single plate fixation with additional attachment plate device (group 1) or not (group 2). MATERIALS AND METHODS: Retrospective data were obtained from a single center by reviewing medical records of patients who underwent reduction and internal fixation of Vancouver type B1 and C periprosthetic femoral fractures between June 2006 and June 2021. The study analyzed patient demographics, fracture characteristics, surgical details, functional outcomes (Harris hip score [HHS] and Koval score at 1-year follow-up), reoperation rates, and radiologic findings. In this study, nonunion and malunion were defined as indicators of "healing problems." RESULTS: Among the 32 included patients (group 1: 15; group 2: 17), fractures resulted from high-energy (six cases) and low-energy (26 cases) injuries, with no open fractures. The fractures included 21 cases of Vancouver type B1 and 11 cases of type C. One patient (6.7%) in group 1 required revision surgery. Excellent or good outcomes were observed in 100% of group 1 and 88.2% of group 2 patients according to Beals-Tower criteria (p = 0.031). Healing problems occurred in 6.7% and 41.2% of patients in groups 1 and 2, respectively (p = 0.03). HHS score, Koval score, union time, or femoral alignment did not differ significantly between the two groups (p > 0.05). CONCLUSIONS: Using an additional plate in the treatment of well-fixed periprosthetic femoral fractures yielded better clinical outcomes compared to cases without an additional plate. Lower rates of nonunion or delayed union and improved overall healing were observed in the augmented group.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.002 | 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".