Fracturas femorales periprotésicas
Bibliographic record
Abstract
Introduction: The incidence of periprosthetic fractures has been increasing in the last 2 decades, representing a serious challenge even for the best trained orthopedic surgeons. The Vancouver classification has largely contributed to a better characterization and therapeutic approach. The aims of this study are to review the latest advances on this topic, and present our experience in the treatment of theses fractures. Methods: Based on the Vancouver classification we evaluated 46 patients treated in 2 different institutions from March 1995 to December 2005. Results: Average age: 74.5 (range 23-87). There was a predominance of females (71.73%). 5 cases were Type A of the Vancouver classification, 32 Type B, and 9 Type C. 44 patients received surgical treatment. Average hospitalization time: 12 days (range 9-34 days). Average consolidation time in type B and C fractures was 4 months, (range 3-6 months). Six patients presented complications. Ten cases were evaluated as excellent (22.72%), 28 as good (63.63%) and 6 as poor (13.65%). Conclusions: A careful individual evaluation based on Vancouver classification, age, and the patient’s functional requirements are the most important parameters for a successful outcome.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".