Clinical results following intra-articular injection of adipose-derived stromal vascular fraction cells in patients with osteoarthritis of the knee
Bibliographic record
Abstract
Background The purpose of this study was to evaluate the clinical results following intra-articular knee injection of Stromal Vascular Fraction (SVF cell therapy). Methods This study involved 13 consecutive patients who had received SVF cell therapy at our clinic before November 2015 and completed the 6-month post-treatment follow-up period. For each treatment, approximately 200 mL or more of subcutaneous adipose tissue was harvested using tumescent liposuction technique and manual aspiration of tissue from the lower abdomen using a suction cannula under local anesthesia in the operating room. The adipose tissue harvested was processed using the Celution Centrifuge IV in the cell processing room of our clinic. These cells were injected into the articular cavity of both knees directly. Outcome was assessed on the basis of patient questionnaires using VAS for pain, the Japanese Knee Osteoarthritis Measure (JKOM), the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Results The 13 patients (26 knee joints), consisting of 2 men and 11 women, had a mean age of 74.5 ± 5.4 years. Eleven patients (9 women, 2 men) presented Grade IV knee OA according to the KL classification. The remaining two patients, both women, had Grade III. Pre-operative scores of JKOM, WOMAC, VAS, and BS-POP (for patients) were 55.9 ± 21.0, 49.6 ± 20.4, 72.7 ± 18.2, and 18.5 ± 2.0. No serious adverse events were reported. One month after injection of SVF, all the scores of JKOM, WOMAC, and VAS were significantly improved over baseline ( P < 0.01). Ultimately, the scores were improved by an average of 35% over baseline for JKOM, 32% improvement in WOMAC, and 40% for pain (VAS). Conclusions Our approach is unique in that it occurred within the context of the recently enacted Japanese Regenerative Medicine Safety Act which is the first in the world.
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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 | 0.001 |
| 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".