Clinical Benefits of <i>Boswellia Serrata</i> (BOSMAX®) in Early Knee Osteoarthritis: A Randomized, Placebo-Controlled, Double-Blind Study
Bibliographic record
Abstract
Osteoarthritis (OA) is a major cause of pain and reduced mobility in older adults, with few effective treatments currently available. This randomized, double-blind, placebo-controlled trial evaluated the efficacy and safety of Boswellia serrata extract (BOSMAX®), a botanical anti-inflammatory agent, in participants with non/mild OA. A total of 150 adults aged 40–75 were randomized to receive either BOSMAX® or a placebo daily for 90 days. Primary outcome measures included WOMAC scores, visual analog scale (VAS) for pain, and Lequesne Functional Index; secondary endpoints were SF-36 scores, tumor necrosis factor-alpha (TNF-α), and high-sensitivity C-reactive protein (hs-CRP). Significant improvements were observed in the BOSMAX® group compared with the placebo. The mean total Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores decreased significantly at days 30 (−6.28), 60 (−15.24), and 90 (−24.55; P < .05). WOMAC sub-scores (pain, stiffness, and function) and VAS pain scores also showed significant reductions at days 60 and 90. Lequesne Index scores improved progressively (−1.37, −2.93, and −4.53 at days 30, 60, and 90, respectively; P < .05). TNF-α and hs-CRP levels decreased significantly (−104.75 ng/L and −5.67 ng/mL, respectively; P < .05) at day 90. However, no significant changes were observed in SF-36 scores. Both treatments exhibited good tolerability, with only one mild and unrelated adverse event reported. Vital signs, physical exams, and laboratory parameters remained clinically unchanged. BOSMAX® significantly improved knee-joint symptoms and inflammatory markers over 90 days in individuals with non/mild OA, supporting its potential as a safe therapeutic option.
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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 | 0.013 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".