Controlled trial of oral channa striatus extract and glucosamine sulphate among primary knee osteoarthritis patients
Bibliographic record
Abstract
Background \nKnee osteoarthritis is the commonest form of arthritis worldwide with significant \nimpact on the health-related quality of life. Complementary and alternative medicine \nuse in osteoarthritis is gaining popularity. Channa striatus, an indigenous fresh water \nfish in Malaysia is well-known for its nutritional and medicinal value in traditional \nmedicine. The current evidences support its therapeutic potential in treating primary \nknee osteoarthritis patients. \nObjectives \nThe aim of the study was to compare the effectiveness of oral Channa striatus \nextract and Glucosamine sulphate in improving knee symptoms and physical \nfunction, as well as in rescue analgesic consumption among primary knee \nosteoarthritis patients. \nMethods \nSeventy eight patients with primary knee osteoarthritis were enrolled into this doubleblind \nrandomized controlled trial and assigned to receive either Channa striatus 500 \nmg/day (n = 39) or Glucosamine sulphate 1500 mg/ day (n = 39) for six months. The \nefficacy outcome measures were Western Ontario and Mc Master Osteoarthritis \nIndex WOMAC index for pain, stiffness and physical function, Visual Analogue Scalefor pain during movement and Analgesic score for rescue analgesia consumption. \nThese outcomes measures were assessed using an intention-to-treat analysis. All \npatients were evaluated at baseline, 3 and 6 months post randomization. \nResults \nAll the baseline characteristics were comparable between Channa striatus and \nGlucosamine sulphate group. Of 78 patients randomized, 73 completed the study \n(Channa striatus, n = 36 and Glucosamine sulphate, n = 37). There were no \nstatistically significant difference between these two groups in WOMAC index, Visual \nAnalogue scale and Analgesic score after 6 months of intervention. However, there \nwere statistically significant improvement in all the domains of WOMAC index based \non time for Channa striatus group from baseline to 3 months up to 6 months. \nAlthough there were improvement observed from 3 to 6 months of treatment, they \nwere not statistically significant. All the safety profile parameters were normal for \nboth groups before and after the intervention. \nConclusions \nChanna striatus 500 mg/ day is comparable to Glucosamine sulphate 1500 mg/ day \nin improving pain, stiffness and physical function in patients with primary knee \nosteoarthritis. It could be a new alternative treatment with good safety profile for \nmedium to long term management of knee osteoarthritis.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".