[Warming acupuncture combined with conventional acupuncture for diabetic peripheral neuropathy with syndrome of <i>yang</i> deficiency and cold coagulation, obstruction of collaterals and blood stasis].
Bibliographic record
Abstract
OBJECTIVE: deficiency and cold coagulation, obstruction of collaterals and blood stasis. METHODS: A total of 64 patients were randomly divided into a warming acupuncture group and a conventional acupuncture group, 32 cases in each one. Based on basic treatment of blood glucose regulation, warming acupuncture was applied at Pishu (BL 20), Shenshu (BL 23), Guanyuanshu (BL 26), Zusanli (ST 36), Chongyang (ST 42), Quchi (LI 11) and Hegu (LI 4) in the warming acupuncture group, while acupuncture was applied at the identical acupoints in the conventional acupuncture group. Both the treatments were given once a day with an interval of one day every six days; totally the treatment was given for 4 weeks. The TCM symptom score, Toronto clinical scoring system (TCSS) and nerve conduction velocity (NCV) before and after treatment were compared in the two groups. RESULTS: >0.05). CONCLUSION: deficiency and cold coagulation, obstruction of collaterals and blood stasis; warming acupuncture has advantage in symptom improvement.
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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) | 0.003 | 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".