Effect of Yin‐Xing‐Tong‐Zhi Tablets on Improving Vascular Cognitive Impairment No Dementia
Bibliographic record
Abstract
Objective . Observe the effect of the Chinese herbal extracts, Yin‐Xing‐Tong‐Zhi, in tablet form, on improving vascular cognitive impairment no dementia (VCIND). Methods . Sixty‐eight patients with VCIND were divided randomly into treatment and placebo groups with oral administration of Yin‐Xing‐Tong‐Zhi tablets (YXTZTs) or placebo, respectively, for 24 weeks. Alzheimer’s Disease Assessment Scale‐Cognitive (ADAS‐Cog) subscale score, MMSE score, Clinician’s Interview‐Based Impression of Change Plus Caregiver Input (CIBIC‐Plus) score, expression of interleukin‐ (IL‐) 6, IL‐8, and tumor necrosis factor‐ (TNF‐) α in serum, and variation of blood‐lipid levels were evaluated at different time points. Results . At weeks 12 and 24, the scores for the ADAS‐Cog, CIBIC‐Plus, and MMSE of the treatment group were significantly lower than those of the control group ( P < 0.05). All clinical scales at week 24 of the control group were significantly different from those before treatment ( P < 0.05). Expression of IL‐6, IL‐8, and TNF‐ α in the two groups was reduced significantly with variation of the clinical scales of cognitive impairment. Conclusion . YXTZTs may delay the development of cognitive impairment in VCIND patients by modulating expression of VCIND‐associated proinflammatory factors.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".