Effects of Injections of Monocytes, Platelet-Rich Plasma, and Hyaluronic Acid in Adults with Knee Osteoarthritis: An Observational Study
Bibliographic record
Abstract
Background: Knee osteoarthritis (OA) is a prevalent condition among adults that leads to knee joint pain and dysfunction. Over the past two decades, local intra-articular knee injection therapy has gained popularity due to the advent of platelet-rich plasma (PRP), hyaluronic acid (HA), and the novel peripheral blood-derived mononuclear cells (PBMNCs). This study aimed to compare the therapeutic efficacy of intra-articular injections of PBMNCs, HA, and PRP combined with hyaluronic acid (PRP-HA) for treating degenerative knee OA classified as stages II and III, according to the Kellgren and Lawrence (KL) scale. Methods: This retrospective observational study involved adults with moderate-to-moderately severe knee OA treated at the University Hospital of Catania, Italy. The subjects were divided into three groups and treated with intra-articular injections of HA, PRP-HA, or PBMNCs. The outcome measures assessed were as follows: the Numerical Rating Scale, the Western Ontario and McMaster Universities Arthritis Index, the Timed Up and Go, the International Knee Documentation Committee score, a 10-meter walking test, and the Physical score and the Mental score on the SF-12. This study included a total of 46 adults, 30 females and 16 males, with a mean age of 63.7 ± 10.9 years. Results: HA, PRP-HA, and PBMNCs demonstrated comparable effectiveness for improving the NRS score and all the other outcomes at 6 months. Additionally, PRP-HA and PBMNCs also enhanced knee flexion and the International Knee Documentation Committee score. However, none of the three treatments led to a significant improvement on the 10-meter walking test. No serious adverse effects were reported. Conclusions: In this study, injections of HA, PRP-HA, and PBMNCs all demonstrated positive outcomes for up to 6 months post-treatment in the subjects suffering from knee OA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".