Dl-3-n-butylphthalide can improve the cognitive function of patients with acute ischemic stroke: a prospective intervention study
Bibliographic record
Abstract
OBJECTIVES: The present study investigated the effects of dl-3-n-butylphthalide on cognitive function of patients with acute ischemic stroke (AIS). METHODS: A total of 104 patients with AIS admitted between October 2012 and June 2013 were assigned to either the Treatment (standardized treatment plus dl-3-n-butylphthalide) or Control (standardized treatment alone) groups. Cognitive function was assessed by the Beijing version of the Montreal Cognitive Assessment (MoCA-BJ) and Mini-Mental State Examination (MMSE) before and 1 month after treatment, when high-sensitivity C-reactive protein (hs-CRP) and homocysteine (Hcy) were also detected. A multivariate logistic regression analysis was done for explore the independent risk factors for vascular dementia (VD). RESULTS: The proportion of cognitive impairment was significantly lower after treatment than before in both the Treatment (88% vs. 64%, P = 0.023) and Control (87% vs. 70%, P = 0.047) groups. Vascular dementia dropped from 30 to 10% in the Treatment (P = 0.035) and from 25.9 to 16.7% in the Control (P = 0.027) groups. Total cognitive improvement was more significant in the Treatment Group (P = 0.018); naming, memory, attention, and linguistic abilities were significantly improved (all P < 0.05). Serum Hcy and hs-CRP levels were significantly lower in the Treatment Group than in the Control Group 1 month after treatment (P < 0.05). DISCUSSION: Dl-3-n-butylphthalide could significantly improve the cognitive function of AIS patients 1 month after stroke. Hcy was involved in the incidence of VD 1 month after AIS. However, further studies are necessary because of differences between groups at baseline.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".