Long-Term Follow-up of Intra-articular Injection of Autologous Mesenchymal Stem Cells in Patients with Knee, Ankle, or Hip Osteoarthritis.
Bibliographic record
Abstract
BACKGROUND: Osteoarthritis (OA) is a debilitating disease that typically affects a large number of the middle-aged and elderly population. Current treatment strategies have had limited success in these patients. This study aims to investigate the safety of treatment with autologous bone marrow (BM)-derived mesenchymal stem cells (MSCs) transplanted in patients with OA of the knee, ankle, or hip. METHODS: We enrolled 18 patients with different joint involvements (knee, ankle, or hip OA) and one was lost to follow-up. BM samples were taken from the patients, after which BM-derived MSCs were isolated and cultured. Each patient received one MSC injection. Patients were followed with clinical examinations, MRI and laboratory tests at 2, 6, 12, and 30 months post-transplantation. RESULTS: We observed no severe adverse events such as pulmonary embolism, death, or systemic complications. A limited number of patients had very minor localized adverse effects such as rash and erythema. There were no changes in liver function, hematology, or biochemistry analyses before and after cell therapy. There was no evidence of tumor or neoplastic changes in the patients during the 30-month follow-up period. All patients exhibited therapeutic benefits such as increased walking distance, decreased visual analog scale (VAS), and total Western Ontario and McMaster Universities OA Index (WOMAC) scores which were confirmed by MRI. CONCLUSIONS: Our study has shown that injection of MSCs in different OA affected joints is safe and therapeutically beneficial. However, further studies are needed with larger sample sizes and longer follow-up periods to confirm these findings.
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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 | 0.001 |
| 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".