<i>Cissus Quadrangularis</i>Reduces Joint Pain in Exercise-Trained Men: A Pilot Study
Bibliographic record
Abstract
BACKGROUND: Strenuous, high-volume exercise is often associated with inflammation and joint pain. Cissus quadrangularis (CQ) has been reported to have anti-inflammatory activity. The purpose of our study was to determine the therapeutic effects of CQ supplementation in healthy, exercise-trained men with joint-specific pain. METHODS: Twenty-nine men between the ages of 20 and 46 years, who reportedly experienced chronic joint pain as a result of strenuous exercise, participated in our pilot study. All men received CQ 3200 mg daily for 8 weeks. Before and after the 8-week intervention period, subjects completed a questionnaire to determine their degree of joint pain (Western Ontario and McMaster Universities Index of Osteoarthritis [WOMAC]). Clinical measures (eg, heart rate, blood pressure, blood biomarkers) were also collected for each subject pre- (baseline) and post-intervention. RESULTS: Subject ratings for multiple variables within the WOMAC Index improved (decreased) significantly (P < 0.05), with the subject mean total WOMAC score decreasing from 25.4 ± 2.4 to 17.4 ± 2.1 (~31%), pre- to post-intervention. No clinical measure was significantly impacted by use of CQ supplementation. CONCLUSION: An 8-week course of supplementation with CQ reduced joint pain in a sample of 29 young, otherwise healthy, exercise-trained men. Additional study is needed to extend these findings, including comparison with a placebo-controlled cohort, and possibly, examining effects of CQ use in women and older adult subjects.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".