[Randomized controlled trial on cervical spondylotic radiculopathy of wind-cold-damp type treated with acupuncture and thunder-fire moxibustion].
Bibliographic record
Abstract
OBJECTIVE: To explore the therapeutic effect of acupuncture combined with thunder-fire moxibustion on cervical spondylotic radiculopathy of wind-cold-damp type and its impacts on the conduction velocity of F wave of median nerve and ulnar nerve, as well as hypersensitive C-responsive protein (hs-CRP), interleukin 6 (IL-6), IL-1β and tumor necrosis factor α (TNF-α) in serum. METHODS: A total of 94 patients with cervical spondylotic radiculopathy of wind-cold-damp type were randomly divided into a control group and a combined therapy group, 47 cases in each group. In the control group, acupuncture was applied to Fengchi (GV20), Tianzhu (BL10), Neck-Jiaji (EX-B5), Dazhui (GV14) and others, 30 min each time, once daily, 5 times a week, totally for 4 weeks. In the combined therapy group, on the base of the treatment as the control group, the thunder-fire moxibustion was adopted over GV20, EX-B5, GV14, Jianjing (ST21) and Tianzong (SI11), 20 min each time, once every other day, for 4 weeks in total. After the treatment, the curative effect was compared in the patients between two groups. The short-form McGill pain questionnaire (SF-MPQ), the neck specificity scale and the MOS 36-item short form health survey (SF-36) were scored. The conduction velocity of F wave in median nerve and ulnar nerve was detected by electromyography. The expression of hs-CRP was measured by immunoturbidimetry. IL-6, IL-1β and TNF-α in serum were determined by enzyme linked immunosorbent assay. RESULTS: <0.05) in the combined therapy group. CONCLUSION: Acupuncture combined with thunder-fire moxibustion relieves the clinical symptoms of cervical spondylotic radiculopathy of wind-cold-damp type.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".