Total knee arthroplasty for valgus osteoarthritis: the results of a standardized soft-tissue release technique
Bibliographic record
Abstract
PURPOSE: The study reports the 2-year follow-up results of patients with valgus osteoarthritis undergoing total knee arthroplasty (TKA) with a standardized soft-tissue release. METHODS: Between 2008 and 2013, 222 TKAs were performed for valgus osteoarthritis by a single surgeon. A total of 181 TKAs in 164 patients were available for a minimum 2-year follow-up (range 24-87 months). Preoperative and postoperative range of motion (ROM), mechanical alignment, the postoperative medial proximal tibial angle (MPTA), Western Ontario and McMaster Universities Arthritis Index (WOMAC), VF-12 score, visual analogue pain scale (VAS), and the actual UCLA activity score, desired UCLA score, ligamentous stability (medial collateral ligament) and complications and revision rates were recorded. RESULTS: The ROM increased from a preoperative flexion contracture of 4.7° (range 0-40) and flexion of 110° (range 35-135) to a postoperative mean flexion contracture of 0.1° (range -5 to 10) and flexion of 128° (range 100-140). The mean hip-knee-ankle alignment was changed from 8.4° of mechanical valgus (range 5.3-25.4) to 0.02° of varus alignment (range -2.9 to 4.1). Tibia component angle (MPTA) was 90.4° (range 86.1-93.7). The WOMAC score, VF-12, UCLA and VAS significantly improved after surgery (p < 0.05). Two patients (1.1 %) underwent revision surgery for instability. CONCLUSION: The described standardized soft-tissue release (release of the iliotibial band and posterolateral corner) provided excellent clinical results at a minimum 2-year follow-up and can be used safely for a "cook-book" approach to the valgus knee with up to 25° mechanical valgus alignment. LEVEL OF EVIDENCE: IV.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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".