The efficacy of low- and high-molecular-weight hyaluronic acid applications
Bibliographic record
Abstract
Objectives: We evaluated the efficacy of viscosupplementation with low- or high-molecular-weight hyaluronic acid (HA) preparations following arthroscopic debridement (AD) in patients with osteoarthritis of the knee.Methods: The study included 45 patients (19 men, 26 women; mean age 53 years; range 41 to 66 years) with Kellgren-Lawrence grade 2-3 osteoarthritis of the knee. Following AD, the patients were randomized to three groups to receive three intra-articular injections of 2 ml hylan G-F 20 (Synvisc, n=16), five intra-articular injections of 2 ml sodium hyaluronate (Hyalgan, n=14), and no injections (controls, n=15). Injections were administered at one-week intervals. All the patients were evaluated with pain, stiffness, and functional capacity scores of the WOMAC (Western Ontario and McMaster Universities) osteoarthritis index before and 6 and 12 months after AD. Results: Two patients and three patients complained of transient pain in Synvisc and Hyalgan groups, respectively. WOMAC scores showed significant decreases in all the groups at 6 and 12 months. There were no significant differences between the three groups with respect to improvement in WOMAC scores at 6 months. However, compared to the control group, differences between pre- and posttreatment scores at 12 months were significantly greater in the Synvisc (p=0.004) and Hyalgan (p=0.003) groups, with no significant difference between the two HA groups (p>0.05).Conclusion: Our findings show that AD is beneficial in osteoarthritis of the knee in patients with appropriate indications, viscosupplementation increases the efficacy of treatment, and that low- and high-molecular-weight HA preparations have similar efficacy.
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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".