Wound‐healing effect of acupuncture for treating phonotraumatic vocal pathologies: A cytokine study
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: Acupuncture is a less-invasive procedure when compared with surgical treatment for benign vocal pathologies caused by vocal overuse. This study aimed to determine the wound-healing effect of acupuncture in treating phonotraumatic vocal fold lesions. STUDY DESIGN: Two-way, mixed-model, between- and within-subjects, prospective randomized, placebo-controlled, blinded group design. METHODS: Seventeen dysphonic individuals with vocal nodules were recruited from a university clinic in Hong Kong. Each participant was randomly assigned to receive one session of either genuine or sham acupuncture. The genuine acupuncture group (n = 9) received needles puncturing nine voice-related acupoints for 30 minutes, whereas the sham acupuncture group (n = 8) received blunted needles stimulating the skin surface of the nine acupoints for the same frequency and duration. Laryngeal secretions were suctioned from the surface of the vocal folds immediately before, immediately after, and 24 hours after the acupuncture. The protein concentration levels of wound-healing-related cytokines (interleukin [IL]-1β and IL-10) in these secretion samples were measured. RESULTS: Following acupuncture, a significant increase in the anti-inflammatory cytokine IL-10 was found in the genuine acupuncture group (n = 9) but not in the sham acupuncture group (n = 8). CONCLUSIONS: The findings showed that acupuncture of voice-related acupoints facilitated an anti-inflammatory process in phonotraumatic vocal pathologies. This could be considered as supporting evidence to consider acupuncture as a less-invasive alternative option, when compared to surgery, for treating phonotraumatic vocal pathologies.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".