Clinical effectiveness and tolerability of Celery seed and Boswellia serrata extract in osteoarthritis
Bibliographic record
Abstract
Background: Osteoarthritis (OA) is a common chronic articular degenerative disease marked by articular cartilage degradation, synovial inflammation/immunity, and subchondral bone lesion, among other symptoms. The disease affects 2–6% of the global population, and its prevalence increases with age, reaching 40% in people over the age of 70. Recently, there has been a surge of interest in using nutraceuticals to treat or prevent OA. Celery seed extract & Shallaki extracts (Boswellia serrata) effectively prevent cardiovascular disease, urinary tract infection, gout, and improve blood pressure. Experimental results indicate that both these extracts have anti-inflammatory properties. Aim: The current real-world evidence study was conducted to investigate the effectiveness of Celeract Advance Tablet in OA patients. Methods: A total of 1236 patients were enrolled in the study. All patients received Celeract Advance Tablet for 90 days. Clinical assessment of symptoms included palpation tiredness, mobility limitation, joint crepitus, swelling and redness. Osteoarthritis symptoms were measured using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Total European Quality of Life–5 Dimensions and visual analogue scale (VAS). Results: After 90 days treatment with Celeract Advance Tablet, WOMAC score reduced significantly from 62.64 + 20.47 to 17.22 + 17.59 (p< 0.05). For Total European Quality of Life–5 Dimensions (EQ-5D) score significantly improved from 38.76 + 8.10 to 69.13 + 8.60 (p< 0.05). From the baseline, 78.35% improvement in EQ-5D was observed in patients treated for three months. After 90 days, VAS score for pain significantly reduced from 8.07 + 5.38 to 1.78 + 4.46 (P< 0.05) after 90 days in OA patients. No major adverse reactions were reported. Conclusion: The current study revealed that the Celeract Advance tablet effectively improves joint pain, stiffness, physical function and quality of life in OA patients.
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 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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".