[Clinical research of early intervention of modified shuyu pill in vascular cognitive impairment no dementia].
Bibliographic record
Abstract
OBJECTIVE: To observe early intervention effects of Modified Shuyu Pill (MSP) on vascular cognitive impairment no dementia (VCIND). METHODS: Totally 100 patients VCIND were randomly assigned to the treatment group (43 cases) and the control group (33 cases). On the basis of the treatment targeting risk factors of blood vessels, patients in the treatment group were treated by MSP, while those in the control group were treated by donepezil hydrochloride. The therapeutic course was 16 weeks. The neuropsychological scales [mini-mental state examination (MMSE) and Montreal cognitive assessment (MOCA) score] and Chinese medicine dementia syndromes scales were observed before and after treatment. RESULTS: The MMSE and MOCA score of the two groups increased when compared with the same group before treatment (P < 0.01). But there was no statistical difference in MMSE or MOCA score after treatment between the two groups (P > 0.05). The Chinese medicine dementia syndromes scales significantly decreased in the treatment group when compared with before treatment (P < 0.01). But there was no statistical difference in Chinese medicine dementia syndromes scales in the control group between before and after treatment (P > 0.05). There was statistical difference in Chinese medicine dementia syndromes scales after treatment between the two groups (P < 0.01). CONCLUSION: MSP could effectively intervene the progress of VCIND.
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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 | 0.001 | 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) | 0.002 | 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".