[Treatment of femoral periprosthetic fracture of Vancouver type B1 and C with bridge combined internal fixation system].
Bibliographic record
Abstract
OBJECTIVE: To evaluate the clinical effect of bridge combined internal fixation system in the treatment of periprosthesis fracture of femur after hip replacement. METHODS: From October 2016 to June 2018, 5 patients of periprosthesis fractures of femur classified type B1 and type C in Vancouver were treated by open reduction and bridging combined with internal fixation, including 2 males and 3 females, with ages of 68, 70, 74, 75, 79 years;type B1 fractures in 4 and type C fractures in 1. Causes of injury:1 case of traffic injury, 4 cases of fall. After the operation, the patients were followed up for complications and fracture healing time by clinical and imaging examination, and Parker activity score was performed. RESULTS: The wounds of 5 patients healed without infection. One case of DVT was confirmed by venography. Five patients were followed up, and the durations were 2, 8, 9, 10, 15 months. One patient died of myocardial infarction 2 months after operation. The average healing time was 12.5 weeks. No loss of reduction or failure of internal fixation was found. Two patients could walk without protection and 1 patient needed to rely on single crutch. One case of periprosthetic fracture had to walk with a single crutch before operation and move indoors with two crutches after operation. The average Parker activity score was 51.8% before operation. CONCLUSION: The bridge combined internal fixation system can be used to fix the fracture after hip replacement with stable femoral 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 | 0.000 |
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".