[Effect of "Buqi Yixue" needling on neurological function and nerve conduction velocity in patients with diabetic peripheral neuropathy].
Bibliographic record
Abstract
OBJECTIVE: To observe the efficacy of "Buqi Yixue "needling on clinical symptoms, neurological function and nerve conduction velocity in patients with diabetic peripheral neuropathy. METHODS: Eighty-six patients with diabetic peripheral neuropathy numbness and pain were equally randomized into control group and treatment group. The patients of the control group received basic treatment and oral administration of Cilostazol (50 mg/time, 2 times/d) and Epalrestat (50 mg/time, 3 times/d). The patients of the treatment group received acupuncture stimulation of Danzhong (CV17), Qihai (CV6), Pishu (BL20), Quchi (LI11), etc., for 30 min, once every day, on the basic treatment. The treatment was conducted for 8 successive weeks. The scores of Traditional Chinese Medicine (TCM) symptoms, Toronto clinical scoring system (TCSS) and nerve conduction velocity (NCV) were detected before and after the treatment. RESULTS: <0.01). CONCLUSION: Buqi Yixue" needling is effective in improving clinical symptoms and increasing NCV in patients with diabetic peripheral neuropathy.
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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) | 0.002 | 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".