Sinergic Effect of Therapeutic Ultrasound and Low-Level Laser Therapy in the Treatment of Hands and Knees Ostheoarthritis
Bibliographic record
Abstract
Osteoarthritis is a degenerative joint disease that affects predominantly hands and knees of the elderly population, being characterized by chronic pain and limitation of joint movements. Therapeutic approaches to ease the pain, as low-intensity pulsed ultrasound and photobiomodulation (low-level laser therapy) have been broadly used as a complement to drug treatment of osteoarthritis. The aim of this study was to evaluate the synergic effect of LIPUS associated to LLLT on osteoarthritis of hands and knees. For this, 69 patients, being 48 affected by knee osteoarthritis and 21 affected by hand osteoarthritis were selected for the study. Patients were evaluated by the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) for knee osteoarthritis and by Australian Canadian Osteoarthritis Hand (AUSCAN), for hands osteoarthritis. All patients filled out the Visual Analogue Scale (VAS) pain questionnaire, which showed statistical improvement of hands (p<0.001) and knees (p<0.001) when comparing before and after treatment. Functional evaluation by AUSCAN showed improvement of hands functionality (p<0.002). Results showed that the synergic therapy of LIPUS and LLLT were efficient in the treatment of hands and knees osteoarthritis, providing a new approach of a non-pharmacological and non-invasive treatment that contributes to better quality of life for the patients with this chronic and degenerative pathology.
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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) | 0.003 | 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".