Clinical Effect of Dong's Extra-point Acupuncture Combined with Mackenzie Therapy for Neck-type Cervical Spondylosis
Bibliographic record
Abstract
Objective To observe the clinical effect of Dong's extra-point acupuncture combined with Mackenzie therapy for neck-type cervical spondylosis( CS).Methods Ninety patients with neck-type CS admitted to Nanfang hospital acupuncture department,Liu Ting-zhou's TCM Clinic in Hong Kong and Liu Ting-zhou's TCM Clinic in Australia from January 2011 to March 2012 were divided randomly into groups A,B,C,30 in each.Group A were given Dong' s extra-point acu-puncture combined with exercise method; group B given Mackenzie therapy; group C given both of the above-mentioned 2 methods.One course of treatment lasted 10 d,the interval between every 2 courses was 2 d.The therapy ended after 3 courses.The clinical effects,cured cases in different courses,McGill Pain Scale scores were compared between 3 groups.Results No patients lost follow-ups in 3 groups,there was not significant difference in gender,age,duration of disease between 3 groups( P 0.05).After therapy,18 patients were cured,10 improved,2 had no effect in group A; 16,11,3,in group B; 19,9,2 in group C,the difference was not significant( H = 0.697,P = 0.706).The cured cases in courses 1,2 were more in group C( 6,10 cases,respectively) than in groups A( 4,3,respectively),B( 3,3,respectively)( P 0.05).The scores of Pain Ratings Index( PRI),Visual Analogue Scale( VAS),Present Pain Intensity( PPI) were lower after therapy than before in 3 groups( P 0.05); There was not difference in pre-,post-therapy score difference of PRI,VAS,PPI be-tween 3 groups( P 0.05).No adverse reactions were noted in 3 groups after therapy.Conclusion The combined Dong's ex-tra-point acupuncture and Mackenzie therapy or either of the 2 treatment methods can relieve symptoms of neck-type CS,but the combined treatment takes effect faster,which provides a reference for further research and generalization.
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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 | 0.001 |
| 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) | 0.001 | 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".