Effects of donepezil hydrochloride on cognitive function and serum IGF-1 level in patients with vascular dementia
Bibliographic record
Abstract
Objective To observe the effects of donepezil hydrochloride on cognitive function and serum insulin-like growth factor-1 (IGF-1) level in patients with vascular dementia. Methods A total of 48 patients with vascular dementia admitted to the Binzhou Center Hospital from January 2017 to September 2018 were divided into experimental group (donepezil hydrochloride treatment group) and control group (conventional treatment group) according to the random number table method, with 24 cases in each group. The clinical efficacy, cognitive function scores including mini-mental state examination (MMSE) Montreal cognitive assessment scale (MOCA), daily living ability (Barthel index score), serum IGF-1 level and hemodynamic indexes (plasma viscosity, whole blood high-shear reduced viscosity, whole blood low-shear reduced viscosity, hematocrit, fibrinogen) before treatment and 2 months after treatment were compared between the two groups. Results The scores of MOCA, MMSE and Barthel index in the two groups were higher than those before treatment 2 months after treatment (P all<0.05), and the changes of above indexes were more significant in experimental group (P all<0.05). The total effective rate of experimental group was significantly higher than that of control group (P<0.05). The plasma viscosity, whole blood high-shear reduced viscosity, whole blood low-shear reduced viscosity, hematocrit and fibrinogen level in the two groups were lower than those before treatment, while the IGF-1 level was higher than that before treatment, and the changes were greater in experimental group (P all <0.05). Conclusions Donepezil hydrochloride for vascular dementia can enhance the serum IGF-1 level and improve hemodynamic indexes, thus enhance efficacy and improve cognitive function and daily living ability. Key words: Vascular dementia; Donepezil hydrochloride; Cognitive function; Insulin-like growth factor-1; Hemorheology
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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 | 0.001 |
| 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".