Results of the clinical study «Hummingbird»: positive experience of import substitution in the treatment of osteoarthritis
Bibliographic record
Abstract
Within the II All-Russian Scientific and practical conference ”Musculoskeletal pain in rheumatic diseases”, held in Moscow, on September 16, a satellite symposium «Results of the clinical study ”Hummingbird”: positive experience of import substitution in the treatment of osteoarthritis”. Osteoarthritis is among the TOP 10 disea es that cause disability in older people. The incidence of osteoarthritis has been increasing in recent years and represents a rather large socio-economic burden for society, because the need for expensive operations for endoprosthetics of large joints is increasing. The problem of pain in osteoarthritis and its chronization forces specialists to look for new approaches to the treatment of the disease. According to the presented data, the Russian innovative drug, developed in the order of import substitution, significantly reduces the pain syndrome and improves the functional state of the joints in most patients with osteoarthritis. It reduces the need for non-steroidal anti-inflammatory drugs and reduces their use by an average of two times. The drug has a fairly rapid effect – after the first course, a good result is visible. Ultrasound proves the anti-inflammatory effect of the drug.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".