Dynamic internal fixation of the periprosthetic femoral fractures after total hip arthroplasty
Bibliographic record
Abstract
Periprosthetic fractures of the femur after total hip arthroplasty are a big orthopaedic problem, particularly in elderly patients and quite a challenge for orthopaedic surgeons. There is no universal method in treating these fractures. Rigid plates fixation can be limited and aggravated especially in the proximal part of the femur where the endoprosthesis stem does not allow for an undisturbed fixation of both femur cortexes by means of screws. Mitkovic's dynamic internal fixator is an original implant allowing for an undisturbed fixation of both femur cortexes regardless of the presence of the endoprosthesis stem. Fixation is made possible by means of movable clamps and a convergent possibility to place screws. A dynamic internal fixator can fix all types of periprosthetic femoral fractures. The paper shows the early experience in fixating periprosthetic femoral fractures after total hip arthroplasty in 14 patients, average age 69.7. According to Vancouver classification, 3 patients had the type A fracture, 9 patients had the type B fracture, and 2 patients had the type C fracture. All fractures were fixed by Mitkovic's dynamic internal fixator. The fracture occurred 2-12 years after primary total hip arthroplasty. The follow-up of the operated patients was 12 months. The method is less invasive than the methods described in books. Mechanical complications are not likely to appear due to the fracture dynamics along the femoral shaft axis, which is made possible by this implant. Our initial experience in femur fracture fixation after hip arthroplasty ahows that it is modern and effective dynamic implant which will contribute significantly to the improving of the treatment of these often very complicated fractures.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".