Serial Mud Packs Induce Anti-inflammatory Effects in Knee Osteoarthritis – A Randomized, Prospective Clinical Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Background Mud bath and pack have been used to treat musculoskeletal disorders since ancient times. However, the actual mechanisms of action of mud therapy on the inflammatory processes are complex and still not clarified. Methods Therefore, the clinical effects of serial mud packs in patients with knee osteoarthritis were investigated on the molecular level. A total of 52 patients were recruited from an in-patient rheumatology clinic. The participants were randomized in 2 groups: the intervention group (IG, n=26) underwent 9 mud packs in 21 days and a standardized multimodal physical therapy in an in-patient setting, whereas the control group (CG, n=26) only received the multimodal physical therapy. Primary outcome parameters were changes in the serum levels of interleukin(IL)-1ß and IL-10. Secondary outcome parameters were changes of the C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), Western Ontario and Mc Master Universities Arthritis (WOMAC) index and pain (visual analog scale - VAS). Results The IG presented after the serial mud packs significantly decreased pro-inflammatory IL-1ß levels and significantly increased anti-inflammatory IL-10 levels, whereas the CG showed no changes of the 2 cytokines. CRP and ESR remained within in the normal range in both groups without significant changes. Furthermore, the IG presented a significant decrease of the WOMAC index and pain (VAS). Conclusions The results suggest an additive anti-inflammatory effect of serial mud packs within a multimodal physical therapy concept in patients with knee osteoarthritis and could explain the beneficial clinical effects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it