The effectiveness of ultrasound therapy and phonophoresis in the treatment of ankylosing spondylitis
Bibliographic record
Abstract
BACKGROUND: In Bekhterev's disease, an autoimmune inflammatory process develops in the intervertebral joints and paravetebral muscles and leads to severe pain syndrome and progressive fusion of articular surfaces. Anti-inflammatory and analgesic therapy should be carried out daily with the use of large doses of nonsteroidal anti-inflammatory drugs. With the progression of the disease, drug therapy is not effective enough to relieve pain and to restore the volume of movement in the joints. In this regard, the use of non-drug treatment is a necessary measure for the treatment of such patients. AIM: comparison of the effectiveness of phonophoresis and ultrasound in the treatment of pain syndrome in patients with ankylosing spondylitis. MATERIALS AND METHODS: 30 patients with Bekhterev's disease were included in our study. All patients were found to carry the HLA antigen and high value of C-reactive protein with an increase in the rate of erythrocyte sedimentation. Radiographs revealed signs of arthrosis of the sacroiliac joint and signs of arthritis and arthrosis of the intervertebral joints of the spine in one or several departments. The severity of the pain syndrome was 9.4 points on the visual analog scale (VAS) and 31.1 points on the McGill Pain Questionnaire (MPQ). 10 patients underwent ultrasound therapy, 10 patients underwent phonophoresis with karepain and 10 patients underwent placebo (Simulation of ultrasound exposure). RESULTS: The analgesic effect of ultrasound therapy was 57.9% at rest, 55.3% with spinal movement. The overall reduction in pain syndrome determined by MPQ was 50%, 49.54% in the sensory class and 51.8% in the affective class. Regression of pain syndrome against the background of the use of phonophoresis with karipain was 60.4% at rest, 54.5% with spinal movement. According to MPQ, the pain syndrome decreased by 46.7% in the sensory class and 52.8% in the affective class and by 49.5% in general. In patients who underwent a placebo course, the pain syndrome according to VAS and MPQ remained without significant dynamics. CONCLUSION: The significant effectiveness of ultrasound therapy and phonophoresis in the treatment of severe pain syndrome in of patients with ankylosing spondylitis has been proven, but it was not possible, to identify significant differences in the analgesic effect between ultrasound therapy and phonophoresis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".