Therapeutic effectiveness of oral homeopathic remedy in management of knee osteoarthritis via attenuation of oxidative and inflammatory pathway
Bibliographic record
Abstract
Background Osteoarthritis (OA) is the most common prevalent condition that affects joints and causes erosion of the cartilage. Many conventional medications show evidence of short-term effectiveness. However, they are associated with numerous adverse effects. Objective As homeopathy is a complementary modality, thus this study aimed to explore the therapeutic effectiveness of homeopathic remedies in management of knee OA that proved efficiency in management of knee OA without health hazards. Patients and methods Thirty cases (25 females, five males) were complaining of bilateral grade 2 or 3 knee OA were included in the study. Each patient was taken as her/his control. One milliliter of a diluted complex of four homeopathic remedies (Arnica Montana, Ledum Palustre, Rhus Tox, and Ruta Graveolens) was taken orally by each patient for 6 weeks in ascending potency. Results All clinical parameters showed significant improvement after the end of therapy. Visual analog scale, number of tender points, tenderness score (TS), angle of knee flexion, heel to hip distance Western Ontario and McMaster universities osteoarthritis index score and Lequesne index (P≤0.05). In addition, there was significant improvement in laboratory markers as significant increase in serum enkephalin and interleukin-4 and decreasing in erythrocyte sedimentation rate (P≤0.05). Conclusion The study showed efficiency of four homeopathic remedies in decreasing pain, tenderness, improving knee flexion and quality of life supported with improvement in serum levels of encephalin, interleukin-4 and erythrocyte sedimentation rate in grade 2 or 3 OA patients.
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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) | 0.002 | 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".