Periprosthetic Femoral Fracture With Broken Implant Insitu: - A Treatment Prospect.
Bibliographic record
Abstract
INTRODUCTION: Fractures involving bones containing a component of a prosthetic joint are becoming more common. The causation is multifactorial but most of these injuries are associated with trivial trauma. The options available for operative management of these fractures include internal fixation of the fracture alone, fixation of the fracture with revision of the prosthesis, and reconstruction of proximal femur with either modified impaction bone grafting or proximal femoral replacement. CASE REPORT: We present here a case of periprosthetic fracture Vancouver type B1 with a broken cemented bipolar prosthesis insitu, in which the broken implant was firmly fixed in the proximal fragment and could not be removed following which the whole of the proximal fragment along with the broken implant was removed and replaced by a customized steel long stem cemented mega prosthesis. CONCLUSION: This case is being presented on account of its unusual presentation and fracture pattern. A broken prosthesis along with a periprosthetic fracture is not a common incident. Thus the treatment had to be individualized. Since the prosthesis was well fixed, its broken stem could not be removed from the proximal fragment and so the whole of the proximal fragment along with stem was removed and replaced with a long stem custom made bipolar prosthesis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.009 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".