Kashin-Beck Disease in Sichuan, China
Bibliographic record
Abstract
OBJECTIVE: The objective of the study was to identify adults with symptomatic Kashin-Beck disease (KBD) and observe the efficacy and safety of diclofenac sodium, naproxen, and glucosamine hydrochloride in these adult patients in Rang-tang (Sichuan Province), China. SUBJECTS AND METHODS: One hundred eighty-three adult patients with KBD were enrolled into this open study. Patients were randomized to receive diclofenac sodium 50 mg twice a day (BID), naproxen 300 mg BID, or glucosamine hydrochloride 750 mg BID for 6 weeks. The primary efficacy parameters evaluated were the visual analog pain scale, Western Ontario and McMaster Universities Osteoarthritis Index, and physical function subscores. Assessment of daily self-care activities and physician and patient global overall efficacy were also recorded. RESULTS: Diclofenac sodium, naproxen, and glucosamine hydrochloride all reduced the joint pain and improved physical function and daily self-care activities in adult patients with KBD. Visual analog pain scale scores, Western Ontario and McMaster Universities Osteoarthritis Index pain scores, physical function scores, and daily self-care activities subscore differences were statistically significant compared with baselines (P < 0.05). Comparison studies among the 3 agents showed no statistically significant difference in efficacy. The incidences of gastrointestinal adverse reactions were 18% and 14% in the diclofenac sodium group and the glucosamine hydrochloride group, respectively, which tended to be lower than the naproxen group (29%). However, the differences were not statistically significant. CONCLUSIONS: This report documents characteristic findings in these patients. Diclofenac sodium, naproxen, and glucosamine hydrochloride produced substantial improvements over baseline in pain relief, physical function, and daily self-care activities in these open observations of adult patients with KBD.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".