Clinical effect analysis of Xiaoke-Yuzu decoction on diabetic peripheral neuropathy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective To observe the clinical effect of Xiaoke-Yuzu decoction on diabetic peripheral neuropathy (DPN). Methods A total of 100 DPN inpatients were recruited and randomly divided into the treatment and control groups. The two groups were both received basic therapy, while the treatment group additionally received Xiaoke-Yuzu decoction. Toronto clinical scores and Chinese medicine symptom scores of both groups were collected to evaluate the clinical effect before and after the therapy. Results The Toronto scores of treatment group were significantly lower than control group after treatment (symptoms score 1.50 ± 0.94 vs. 2.23 ± 1.01, reflection score 3.60 ± 1.77 vs. 4.27 ± 1.72, feeling test score 1.53 ± 0.63 vs. 2.10 ± 0.84, all P<0.05). Meanwhile, the Chinese medicine symptom scores of treatment group were also significantly lower than the control group (main symptom score 1.77 ± 1.17 vs. 3.17 ± 1.82, posterior symptom score 2.23 ± 1.59 vs. 4.27 ± 1.57, the tongue and pulse score 1.83 ± 0.65 vs. 2.47 ± 0.51, all P<0.05). Conclusion Xiaoke-Yuzu decoction plus basic therpy could improve the clinical symptoms of DPN patients. Key words: Xiaoke-Yuzu decoction; Diabetic peripheral neuropathy; Clinical effect
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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it