Intraarticular injection of the stromal vascular fraction for the treatment of knee osteoarthritis a prospective randomized controlled clinical trial
Bibliographic record
Abstract
Currently, conservative treatment for knee osteoarthritis (KOA) has limited efficacy, and autologous adipose-derived stromal vascular fraction (SVF) knee injections, a novel treatment approach, are receiving widespread attention. Our study aimed to explore the efficacy and safety of SVF treatment for KOA patients. This randomized controlled trial sought to assess the efficacy and safety of intra-articular SVF injections for the treatment of KOA, both as an independent intervention and in conjunction with conventional rehabilitation. Sixty-six KOA subjects were randomly divided into three groups: (1) the SVF group received a single SVF intra-articular knee injection; (2) the control group received conventional rehabilitation treatment (muscle strength training, interferential therapy, and manual therapy, 5 times a week for a total of 4 weeks); and (3) the combination therapy group received a single SVF intra-articular knee injection followed by conventional rehabilitation treatment. Outcomes were assessed during a 12-month follow-up period, with outcome measures including the visual analog scale for pain; the Western Ontario and McMaster Universities Osteoarthritis Index for pain, stiffness, and function; range of motion (ROM); and the occurrence of complications. A total of 62 patients completed the follow-up. There were no significant baseline differences among the groups. The results after treatment revealed that the SVF group and the combination therapy group significantly outperformed the control group in terms of pain relief, improvement in knee function, and increased mobility (P < 0.05). Throughout the treatment and follow-up periods, no severe adverse events were reported in any of the three groups (P > 0.05). The results of this study indicate that SVF intra-articular injection alone or in combination with conventional rehabilitation methods can significantly improve pain, knee function, and stiffness in KOA patients, with the therapeutic effects continuing to increase over a 12-month period. SVF treatment provides an effective and safe therapeutic option for KOA patients and has important implications for future clinical practice and research.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".