Curative Effect of Syndrome Differentiation of Traditional Chinese Medicine Treatment for Alzheimer's Disease
Bibliographic record
Abstract
Objective: To study the curative effect of syndrome differentiation of traditional Chinese medicine treatment for Alzheimer's disease. Methods: 60 cases with Alzheimer's disease patients from January 2011 to October 2013 in our hospital were studied. According to a random number table method,they were randomly divided into observation group and control group. The control group was treated with conventional treatment measures while the observation group treated with syndrome differentiation of traditional Chinese medicine. After treatment,changes in lipid and hemorheology of the two groups were compared. The mini-mental state examination( MMSE),the daily capacity scale integration( ADL) and the Montreal Cognitive Scale( MoCA) of the two groups were used to evaluate the behavioral function score and the use of efficacy and adverse reactions related to efficacy evaluation criteria was evaluated. Results: After treatment,the blood rheology parameters of the observation group were significantly improved and there was a significant difference( P 0. 01). The blood rheology of the control group before and after treatment did not change significantly( P 0. 05). The MMSE and MoCA scores were significantly higher( P 0. 01) and ADL was significantly lower( P 0. 01) but the MMSE and MoCA were significantly higher( P 0. 01) in two groups. ADL scores in the observation group were significantly lower than that of the control group( P 0. 01). The total efficiency of observation group( 86.67%) was significantly higher than that of the control group( 53. 33%) and the efficiency of the two groups was statistically significant( u =- 2. 0180,P = 0. 0436). The incidence of adverse reactions of the two groups were not significantly different( χ2=0. 7407,P = 0. 3894). Conclusion: Chinese syndrome differentiation therapy treatment for Alzheimer's patients is remarkable,worthy of promotion.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".