Intra-articular injection of autologous adipose-derived stem cells for knee osteoarthritis: a randomized controlled trial
Bibliographic record
Abstract
Objective To evaluate the clinical effects of intra-articular injection of autologous adipose derived stem cells (ADSCs) or ADSCs combined with hyaluronate acid (HA) for knee osteoarthritis. Methods From May 2013 to May 2015, a total of 108 patients with knee osteoarthritis (Kellgren-Lawrence grades: 1-3) were recruited in the present study. The patients were randomly divided into three groups: ADSCs, HA and ADSCs+HA. All patients (36 cases in each group) were injected with the drug in the joint cavity once a week for three weeks. The methods used for evaluating the clinical manifestations and joint damage on MRI included visual analogue scale (VAS), Western Ontario and McMaster University (WOMAC) osteoarthritis index and whole-organ magnetic resonance imaging score (WORMS). Evaluations were conducted before injection and at 3, 6, 12, 24 and 36 months after injection. Results All patients were followed up for 36 months without any dissociation. No adverse reaction was observed during the treatment and at the follow-up duration. The VAS score and WOMAC total score of the ADSCs group and the ADSCs+HA group were better than those in the HA group at each time point after injection (P 0.05). The WORMS cartilage injury score improved in 10 patients with ADSCs after injection (P<0.05). The subchondral bone wear score improved as well (P<0.05). The difference of WORMS cartilage injury scores before and after injection was correlated with the difference of the WOMAC total score (r=0.790, P=0.007) and that of VAS score difference (r=0.800, P=0.005). Conclusion Autologous ADSCs and ADSCs combined with HA intra-articular injections can effectively relieve pain and improve function of patients with knee osteoarthritis for 36 months. In addition, ADSCs combined with HA injections can relieve pain more effectively within a short duration. Cartilage repair is associated with joint function improvement. Key words: Stem cells; Hyaluronic acid; Osteoarthritis, knee; Cartilage
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 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".