Improvement and Mechanism of Xiaoma Zhitong Capsule on Nerve Conduction Velocity in Patients with Diabetic Peripheral Neuropathy
Bibliographic record
Abstract
Objective: To investigate the effect and mechanism of Xiaoma Zhitong capsule on nerve conduction velocity in the treatment of diabetic peripheral neuropathy( DPN). Method: One hundred and two patients were randomly divided into control group( 50 cases) and observation group( 52 cases). The patients in control group received 500 mg methycobal and placebo 3 times daily,and the patients in observation group received500 mg methycobal 3 times daily and Xiaoma Zhitong capsules 4 times daily. Patients in both groups received a 34-week periods of treatment. Curative effect, motor nerve conduction velocity( MNCV) and sensory nerve conduction velocity( SNCV) in two groups were observed,activity of aldose reductase( AR),nitric oxide( NO)and superoxide dismutase( SOD) were compared between two groups. The curative effect was evaluated by toronto clinical scoring system( TCSS) and visual analogue score( VAS). Result: The total effective rate of control group was 90. 4%,which was higher than control group( 74. 0%,P 0. 05). MNCV and SNCV of patients in two groups were improved after treatment,and there was statistically significant difference in the observation group( P 0. 05). Levels of AR were decreased( P 0. 05),NO and SOD were increased( P 0. 05) in the observation group as compared with the control group( P 0. 05). TCSS score in control group and treatment group were( 6. 27 ± 1. 17),and( 4. 52 ± 0. 93),respectively. VAS score in control group and treatment group was( 5. 33 ± 0. 64) and( 4. 26 ± 0. 53),respectively. and the observation group had lower results( P 0. 05).Conclusion: Using Xiaoma Zhitong capsule combined with methycobal had definite curative effect on diabetic peripheral neuropathy,it could obviously improve the peripheral neuropathy of diabetic patients. The effect may be related to regulating the activities of AR,NO and SOD.
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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 | 0.000 | 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 | 0.001 |
| 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".