Short-Term Effects of Ovomet®, Eggshell Membrane, in Joint Pain. A Double-Blind and Placebo Study
Bibliographic record
Abstract
Dietary supplements are being extensively used for the treatment of diverse joints disorders. Ovomet®, eggshell membrane, a natural source of glycosaminoglycans such as chondroitin sulfate and hyaluronic acid among other ingredients, has led to the consideration of this product as a potential treatment for joint disorders. On this basis, the aim of the present study was to evaluate the short-term effectiveness of the intake of Ovomet® in volunteers suffering from joint disorders. The double-blind and placebo study consisted on the daily intake of a capsule containing 300 mg Ovomet® or a capsule containing placebo (microcrystalline cellulose) during 30 days. The Womac questionnaire (Western Ontario and McMasters Universities Osteoarthritis Index) was employed to assess joint pain and dysfunction at days 0, 1, 3, 5, 7 and 30. Results showed a gradual and significant decrease in pain and dysfunction since day 3 on while the participant’s intaking placebo did not show changes. Similarly, there was a significant pain improvement in volunteers intaking Ovomet® compared to the placebo subjects from day 3 onwards. The daily intake of 300 mg Ovomet® showed short-term effects within the first three days in reducing significantly joint pain and dysfunction. Moreover, a significant improvement in pain was demonstrated in the Ovomet® group when comparing with placebo treatment. Ovomet® is a viable, fast, effective and safe alternative for the treatment of joint pain associated with joint disorder.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".