Wet-cupping induces anti-inflammatory action in response to vigorous exercise among martial arts athletes: A pilot study
Bibliographic record
Abstract
PURPOSE: The aim of the present study was to investigate potential anti-inflammatory effects of wet-cupping prior to a moderate-to-vigorous exercise test among martial arts athletes. METHODS: Twenty-one male karate athletes voluntarily participated in this study and were randomly divided into 3 groups: vigorous exercise (VE, n = 7), cupping (CT, n = 7) and cupping plus vigorous exercise (VECT, n = 7). Participants in exercise groups performed an exercise test while participants in CT received cupping therapy, and participants in VECT received cupping therapy plus exercise. Inflammatory markers (i.e., interlukin-6, IL-6, and tumor necrosis factor-α, TNF-α) were assessed prior to, immediately, 30 min, and 24 h after cupping therapy, vigorous exercise test, and their combination. RESULTS: IL-6 values were significantly lower immediately after cupping intervention in CT as compared to baseline (P < 0.025). IL-6 significantly increased immediately and 30 min post-exercise in VE in comparison with baseline (P < 0.025). IL-6 was also significantly higher at 24 h post-exercise in CTVE as compared to baseline (P < 0.025). TNF-α values were significantly lower in CT as compared to VE and CTVE at immediately and 30 min post-exercise (P < 0.01). TNF-α significantly decreased immediately and 30 min after cupping intervention in CT as compared to baseline (P < 0.01). Conversely, TNF-α significantly increased immediately after exercise in VE as compared to baseline (P < 0.025). TNF-α also significantly increased at 30 min and 24 h post-exercise in CTVE in comparison with baseline (P < 0.025). CONCLUSION: Our findings showed that exercise-induced augmentation in inflammatory markers were lower in athletes who received cupping therapy, suggesting such therapy may be an avenue to mitigate the inflammatory response to vigorous exercise among martial arts athletes. A large-scale clinical study is needed to confirm the findings of the present study.
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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) | 0.002 | 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".