Biomechanical Analysis on Vancouver Periprosthetic Fracture in Femur Using the Finite Element Modeling
Bibliographic record
Abstract
After total hip arthroplasty (THA), high demands occur in the femoral fixation, especially for elderly patients due to periprosthetic fractures. Fractures happened in the femur after THA was classified based on Vancouver periprosthetic femoral fracture. Choosing the fixation for these types of specific fracture types are challenging due to pattern and orientation of the fracture in the THA prosthesis. Several researchers have reported the clinical, experimental, and computational studies about the failure of fixation methods, and they highlighted the remedies and scope in the further studies. Most of the authors recommended the computational studies having the advantage to predict the inner behaviour of the bone because invivo/invitro study availability of the specimen are limited and it needs ethical clearance. The current study focussed on computational studies in periprosthetic fractures and aims to discuss the three dimensional model creation, mesh generation, material properties, boundary conditions/loading, limitation, opinions, and future thoughts in implant design.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".