<title>Effects of a laser acupuncture therapy on treating pain</title>
Bibliographic record
Abstract
Laser acupuncture (LA) has been utilized as a combined approach of Chinese traditional acupuncture and low-level laser therapy since its emergence in 1973. Its mechanisms are not well understood and the standardization of clinical protocols has not been established. In this study, we used a diode laser to irradiate on four acupuncture points for normal subjects to investigate the effect of LA. For each point, the irradiation lasted for three minutes. The median nerve conduction velocity was measured within a 30 minutes interval at day 1, day 5, and day 10 respectively. Patients with chronic carpal tunnel syndrome (CTS) were given LA therapy for three stages at most with a one-week interval between two stages. Treatment outcome measurements included patients' subjective feedback (McGill pain questionnaire, VAS) and objective measurements (physical examination, kinesiological properties and NCSs). It was a randomized single-blind controlled trial. For normal subjects, motor nerve fiber was sensitive to LA and the motor conduction velocity was decreased very significantly (p < 0.001). Besides, it was found that LA resulted that sensory nerve conduction velocity was decreased significantly when it was measured 30 minutes after the subject had received LA application. For CTS patients, the outcomes except pinch test indicated that LA could improve patient's conduction. These results suggested that LA could cause the change of nerve conduction.
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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) | 0.005 | 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".