Effects of glucosamine in patients with osteoarthritis of the knee: a systematic review and meta-analysis
Bibliographic record
Abstract
Osteoarthritis (OA) of the knee is one of the main causes of mobility decline in the elderly. Non-surgical treatments such as administration of supplements to strengthen the joint cartilage matrix have become popular not only for pain relief but also for joint preservation. Glucosamine has been used in many countries based on the increasing evidence of its effectiveness for OA. Although there are many previous studies and systematic reviews, the findings vary and different conclusions have been drawn. We aimed to review recent randomized controlled trials on glucosamine for knee OA to reveal up-to-date findings about this supplement. We also performed a meta-analysis of some of the outcomes to overcome the unsolved bias in each study. Eighteen articles written between 2003 and 2016 were analyzed. Many used visual analogue scale (VAS) pain scores and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), which were assessed in our meta-analysis. We found a marginally favorable effect of glucosamine on VAS pain scores. The effect on knee function, as measured by the WOMAC, was small and not significant. A newly established knee OA scale, the Japanese Knee Osteoarthritis Measure (JKOM), is commonly used in Japan. Although the number of subjects was small, the JKOM meta-analysis indicated that glucosamine is superior to a placebo in alleviating knee OA symptoms. Given this, we concluded that glucosamine has the potential to alleviate knee OA pain. Further studies are needed to evaluate the effect of glucosamine on knee function and joint preservation, as well as to evaluate the combined effect with other components, such as chondroitin.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.034 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".