Individualized Homeopathic Medicines in the Treatment of Knee Osteoarthritis: Double-Blind, Randomized, Placebo-Controlled Feasibility Trial
Bibliographic record
Abstract
Abstract Introduction This study aimed at examining the feasibility issues of comparing individualized homeopathic medicines (IHMs) with identical-looking placebos for treating knee osteoarthritis (OA). Methods Forty eligible patients participated in this double-blind, randomized (1:1), placebo-controlled feasibility trial in the outpatient clinics of a homeopathic hospital in West Bengal, India. Either IHMs or identical-looking placebos were administered, along with mutually agreed-upon concomitant care guidelines. The Knee Injury and Osteoarthritis Outcome Score (KOOS) was the primary outcome measure, along with derived Western Ontario and McMaster Universities Arthritis Index (WOMAC) scores from KOOS. The EQ-5D-5L questionnaire and Visual Analog Scale (VAS) were the secondary outcomes. All were measured at baseline and after 2 months. Group differences and effect sizes (Cohen's d) were estimated using an intention-to-treat approach. p-Values less than 0.05 (two-tailed) were considered statistically significant. Results Enrolment/screening and trial retention rates were 43% and 85% respectively. Recruitment was difficult owing to the coronavirus disease 2019 (COVID-19) lockdown. Group differences were statistically significant, favoring IHMs against placebos in all the KOOS sub-scales: symptoms (p < 0.001), pain (p = 0.002), activities of daily living (p < 0.001), sports or recreation (p = 0.016), and quality of life (p = 0.002). Derived WOMAC scores from KOOS favored IHMs against placebos: stiffness (p < 0.001) and pain (p < 0.001). The EQ-5D-5L questionnaire score (p < 0.001) and EQ-5D-5L VAS scores (p < 0.001) also yielded significant results, favoring IHMs over placebos. All the effect sizes ranged from moderate to large. Sulphur was the most frequently prescribed homeopathic medication. Neither group reported any harm or serious adverse events. Conclusion Although recruitment was sub-optimal due to prevailing COVID-19 conditions during the trial, the action of IHMs was found to be superior to that of placebos in the treatment of knee OA. Larger and more definitive studies, with independent replications, are warranted in order to substantiate the findings. Trial registration: CTRI/2021/02/031453.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".