Clinical Observation on Efficiency of Warm-needling with Different Moxibustion Intensity for Patients with Cervical Spondylosis of Wind-cold Type
Bibliographic record
Abstract
Objective: To compare the efficiency of warm-needling with different moxibustion intensity in patients with cervical spondylosis of wind-cold type. Methods: Ninety patients with cervical spondylosis of wind-cold type were randomized into three groups: A group in which the patients were treated by warm-needling with one moxa cone,B group in which the patients were treated by warm-needling with three moxa cones, and C group in which the patients were treated by warm-needling with five moxa cones,with thirty cases in each group. All the patients were given the Neck Eight-needle therapy,meanwhile the Dazhui ( GV 14) was given warm-needling therapy. The pain and the function of cervical vertebra were evaluated by Short-form of McGill Pain Questionnaire and Assessment Scale for Cervical Syndrome Index respectively. Results: ①Pain: After treatment,the scores of pain rating index ( PRI) ,visual analogue scale ( VAS) and present pain intensity ( PPI) in three groups were obviously decreased ( P 0. 05,P 0. 01) ,and the scores of PRI,VAS and PPI in B and C groups were lower than those in A group ( P 0. 05) ,while there was no statistical difference between B group and C group on the scores ( P 0. 05) . ②Function of cervical vertebra: After treatment,the scores of cervical vertebra function in three groups were significantly increased ( P 0. 05,P 0. 01) ,and the scores of B and C groups were higher than those of A group ( P 0. 05) ,while there was no statistical difference between B group and C group on the scores of cervical vertebra function ( P 0. 05) . Conclusion: Warm-needling with three moxa cones can ensure a significant effect.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".