Management of periprosthetic femoral fracture after hip replacement (Vancouver b1): treating successfully using internal fixation
Bibliographic record
Abstract
Periprosthetic femoral fractures associated with hip arthroplasty pose a significant challenge to the orthopedic surgeon and are difficult to treat. The incidence of periprosthetic fracture is increasing steadily due to increase in 1. Number of cases 2. Incidence of replacement surgeries Periprosthetic fractures after hip arthroplasty pose a significant challenge to the orthopedic surgeon as the treatment still remains controversial. The difficulty in treatment is due to1. Age of the patient as most of the patients are of elderly age group.2. Absence of bone stock3. Presence of cement which hampers biological healing4. Presence of implant which pose difficulty in putting another implant and fixing these fractures. Most common classification used for these fractures is Vancouver classification which takes into consideration the quality of bone, stability of implant and site of fracture and are challenging task for surgeon to treat, as the treatment remains controversial, difficult fracture fixation and bilological healing is compromied.Here we have included only Vancouver B 1 fractures in our study.These fracture are becoming important now a days because of increase number of replacemnt surgeries occuring world-wide.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".