Arthroscopic partial anterior synovectomy of the knee on patients with haemophilia
Bibliographic record
Abstract
PURPOSE: This study assessed the results of two-portal knee arthroscopic synovectomy in terms of bleeding recurrence, knee function, quality of life (QOL), and radiographic staging in a prospective case series of patients with haemophilia. METHODS: Nine knees from eight patients (median age 16.1 years; range 9.6-25 years) with haemophilia and recurrent knee haemarthrosis were prospectively evaluated. Yearly recurrence of bleeding was evaluated once a year for 5 years postoperatively. Range of motion (ROM) and radiographic staging, as well as results of the short form (SF)-36 and subjective knee form of the International Knee Documentation Committee (IKDC) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaires, were evaluated before surgery and at the end of follow-up. RESULTS: Mean bleeding recurrence was significantly reduced during the 5-year follow-up period. Questionnaire results showed significant improvements (IKDC P = 0.015, WOMAC P = 0.011, and SF-36 P = 0.023), whereas ROM was not significantly affected. Arthropathy progressed from Arnold-Hilgartner radiographic stage III to stage IV (P = 0.0082). CONCLUSIONS: Two-portal knee arthroscopic synovectomy was effective at reducing bleeding recurrence and improving knee function and QOL in patients with haemophilia, but did not interrupt the progression of radiographic changes.
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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 | 0.000 |
| 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) | 0.001 | 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".