Effects of donepezil on cognitive functions and the expression level of β-amyloid in peripheral blood of patients with Alzheimer's disease
Bibliographic record
Abstract
Alzheimer's disease is a degenerative disease affecting the central nervous system for which donepezil is usually prescribed. The aim of the present study was to examine the effects of donepezil on the cognitive functions and expression levels of β-amyloid (Aβ) in the peripheral blood of patients with Alzheimer's disease. In total, 76 patients with cognitive impairment, who visited the Department of Neurology of Binzhou City Center Hospital from June 2015 to September 2016, had memory decline for more than three consecutive months and underwent mini-mental state examination (MMSE) score screening, were selected for the study. All 76 patients were divided into the experimental (n=38) and control (n=38) groups by random number table. Patients in the control group were treated using conventional drugs combined with Nimotop, and patients in the experimental group received conventional drug therapy combined with donepezil, and the treatment outcomes in the two groups were compared. The MMSE scores and Montreal cognitive assessment (MoCA) scores after treatment in the two groups were significantly increased compared with those before treatment, and the differences were statistically significant (P<0.05). The activities of daily living scale (ADL) was decreased significantly (P<0.05). By comparing with the control group, the MMSE and MoCA scores in the experimental group were higher (P<0.05) while the ADL score was lower (P<0.05), and the adverse reaction rate during the treatment was lower (P<0.05). The Aβ levels in serum after medical treatment were obviously decreased in the two groups, and the difference was statistically significant (P<0.05). The serum Aβ level in the experimental group after treatment was lower than that in the control group (P<0.05). Drug therapy combined with donepezil has a certain degree of influence on the MMSE, ADL and MoCA scores of patients with Alzheimer's disease, which can decrease the Aβ level in peripheral blood and improve the cognitive functions of patients, thus having important clinical significance.
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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 | 0.000 | 0.000 |
| 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 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".