The use of symptomatic slow-acting drugs for osteoarthritis of the joints of the hands: Accent on microcirculation parameters
Bibliographic record
Abstract
The aim of the study – to evaluate the effectiveness of the drug Alflutop (bioactive concentrate of small marine fish), as well as its effect on microcirculation parameters in patients with osteoarthritis (OA) of small joints of the hands.Patients and methods. The study included 80 patients aged 35 to 65 years with OA of small joints of the hands, stage I– II according to Kellgren – Lawrence, with pain ≥40 mm and ≤90 mm on a visual analogue scale (VAS). Subjects were distributed in 1:1 ratio. In the study group (combined therapy) patients received Alflutop according to the standard scheme: 2 ml intramuscularly every other day N 10 and meloxicam 7.5–15 mg per day in the “on demand” mode. The second group (monotherapy) received meloxicam 7.5–15 mg per day N 20. During the observation, the dynamics of joint pain on the VAS scale, the dynamics of the disease on the VAS scale by the patient and the doctor, the functional Dreiser index and AUSCAN (Australian/Canadian Osteoarthritis Hand Index), nailfold capillaroscopy (NFC) with an assessment of the number of capillaries and the number of alterations per 1 mm of the distal row of capillaries were evaluated. The duration of the study was 6 weeks.Results and discussion. By the 35th day of treatment with Alflutop in combination with meloxicam, a statistically significant decrease in pain and functional activity of the disease was found according to the VAS indices, the AUSCAN index (p<0.05) compared with the meloxicam monotherapy group. Microcirculation parameters according to NFC data in the Alflutop and meloxicam group remained stable by the end of the study (p>0.05). In meloxicam monotherapy group, by the 35th day of follow-up, there was a significant increase in the number of altered capillaries by 1 mm of the distal row of the nail (p<0.001).Thus, Alflutop demonstrates clinical efficacy in OA of the joints of the hands (reduces pain, stiffness, improves joint function). In addition, the effect of Alflutop with respect to slowing down microcirculatory disorders is not excluded.
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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 | 0.000 | 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) | 0.001 | 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".