Effect of Ancient Needling Method on the Overall Pain Score in Patients with Cervical Spondylotic Radiculopathy
Bibliographic record
Abstract
Objective To compare the therapeutic efficacies of ancient needling method, electroacupuncture at Jiaji(EX-B 2), and oral administration of Jing Shu granules in treating cervical spondylotic radiculopathy(CSR), for seeking the most effective treatment method. Method Totally 160 CSR patients were randomized into an ancient needling group(60 cases), an electroacupuncture group(60 cases), and a Jing Shu granules group(40 cases). The ancient needling group was intervened by ancient needling method by selecting Wangu(SI 4), Kunlun(BL 60), Waiguan(TE 5), Quchi(LI 11), Jianjing(GB 21), and Fengchi(GB 20); the electroacupuncture group was by electroacupuncture at Jiaji(EX-B 2)(C4-7); the Jing Shu granules group was by oral administration of Jing Shu granules. After 2 treatment courses, the internationally recognized short-form McGill Pain Questionnaire(SF-MPQ) was used to evaluate the improvement of pain. Result After treatment, the pain rating indexes(PRI) scores(including sensory PRI, affective PRI, and total PRI) were changed significantly in the three groups(P0.01,P0.05). The ancient needling group was significantly different from the other two groups in comparing the PRI scores(P0.01,P0.05). The electroacupuncture group was significantly different from the Jing Shu granules group in comparing the sensory PRI score(P0.05). After treatment, the Visual Analogue Scale(VAS) score, present pain intensity(PPI) and total score were changed significantly in all three groups(P 0.01). The ancient needling group was significantly different from the other two groups in comparing the VAS score, PPI, and total score(P 0.01,P 0.05). There were significant differences in comparing VAS score, PPI, and total score between the electroacupuncture group and Jing Shu granules group(P0.05). Conclusion Ancient needling method is an effective method in treating CSR, by rapidly relieving pain.
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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 | 0.003 | 0.003 |
| 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) | 0.000 | 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".