Симптоматическая терапия остеоартроза коленных суставов — новые возможности
Bibliographic record
Abstract
Objective: to evaluate the efficacy and safety of the zinaxin-glucosamine sulfate (ZGS) complex versus meloxicam in patients with knee osteoarthrosis (KOA). Subjects and methods. The 12-week, prospective, open-label, randomized clinical and instrumental study enrolled 40 patients with bilater al Kellgren and Lawrence stage I– IV KOA on X-ray. The Western Ontario and McMaster Universities Osteoarthritis (WOMAC) index and knee joint ultrasound data were assessed during the study over time (before and 4 and 12 weeks after treatment). Results. The main symptoms of KOA were considerably alleviated during the administration of ZGS and meloxicam. The same effect was achieved at week 4 of treatment and increased throughout the study. Both groups showed significantly reduced stiffness (p Conclusion. The analgesic and anti-inflammatory effects of ZGS are comparable with those of meloxicam on pain, stiffness, and functional activity. Dynamic ultrasonography of the knee joints provides support for the fact that ZGS has anti-inflammatory properties. The high effi cacy of ZGS is combined with the absence of adverse reactions. ZGS may be recommended as an alternative treatment for KOA.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".