Midterm results of intra‐articular stromal vascular fraction injection for the treatment of knee osteoarthritis
Bibliographic record
Abstract
PURPOSE: This study aimed to evaluate the safety and efficacy of intra-knee stromal vascular fraction (SVF) injection in patients with symptomatic knee osteoarthritis at the midterm (3-year) follow-up. METHODS: SVF injection was applied to 25 knees of 20 patients. Eighteen patients (90%) were female, and the means ± standard deviations of age was 61.9 ± 7.8 (range, 50-76) years. Patients who received conservative treatment for at least 6 months and had radiographic Kellgren-Lawrence (K-L) grades 2 and 3 varus gonarthrosis were included in the study. SVF was obtained from the umbilical region by liposuction using local anaesthesia. Patients were followed-up for 36 months. Their visual analogue scale (VAS), Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and Lysholm scores were evaluated before and at 6, 12, 24 and 36 months post-SVF injection. RESULTS: A statistically significant improvement (p < 0.05) was observed in VAS, WOMAC and Lysholm scores at the first 2-year follow-up compared to baseline. However, no statistically significant difference (n.s.) was observed in VAS, WOMAC and Lysholm scores at the 3-year follow-up compared with baseline. CONCLUSION: Intra-articular SVF injection decreased pain and significantly improved the functional outcomes in the first 2 years in knees with grade 2-3 osteoarthritis; however, these positive effects of the injection disappeared in the 3rd year. Although short-term successful results of SVF have been reported in the literature, prospective studies are needed for medium- and long-term results.
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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) | 0.001 | 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".