Prescription for tonifying kidney,activating blood,and resuscitation in treatment of vascular mild cognitive impairment caused by diabetes: a clinical study of eight cases
Bibliographic record
Abstract
Objective: To observe the clinical efficacy and safety of prescription for tonifying kidney,activating blood,and resuscitation in the treatment of vascular mild cognitive impairment( VMCI) caused by diabetes. Methods: One hundred VMCI patients were randomly divided into treatment group( n = 62) and control group( n = 58). The treatment group was given prescription for tonifying kidney,activating blood,and resuscitation combined with aspirin,while the control group was only given aspirin. Montreal Cognitive Assessment( Beijing version,Mo CA) and traditional Chinese medicine( TCM) symptom scale were used for further evaluation. Results: The scores of Mo CA and TCM symptom scale showed significant differences within the two groups before and after treatment( P 0. 05). The four sub- items of visual structure and space,delayed memory,abstract thinking,and attention in the Mo CA scale showed significant differences between the two groups after treatment( P 0. 05). However,naming,orientation,and language scores showed no significant differences( P 0. 05). The TCM symptom scores showed a significant difference between the two groups after treatment( P 0. 05). The incidence of adverse events of the two groups showed no significant difference( P 0. 05). Conclusion: The prescription for tonifying kidney,activating blood,and resuscitation can improve cognitive function and TCM symptoms in the treatment of VMCI caused by diabetes,and the prescription is superior in improving visual structure and space,delayed memory,abstract thinking,and attention.
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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 | 0.001 | 0.003 |
| 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".