Nimodipine in patients with post-stroke depression on cognitive A clinical study
Bibliographic record
Abstract
Objective To Nimodipine(trade names:Nimotop) in patients with poststroke depression on cognitive function improvement.Methods 267 cases of patients with poststroke depression were randomly divided into two groups,conventional treatment of the primary disease,rehabilitation training and Seroxat Tablets 20 mg/d,the treatment group at the same time on the basis of a combination of nimodipine tablets with 30 mg,3 times/d,each group of patients with treatment and follow-up to 12 over the weekend.Pre-treatment and treatment in the first 4 weeks,8 weeks and 12 weekends in Montreal Cognitive Assessment Scale(Montreal Cognitive Assessment,MoCA) and HAMILTON Depression Scale score.Results Two groups of patients before treatment using MOCA Depression Scale score and HAMILTON score by t test P0.05,no significant difference;4 weeks after treatment,8 weeks,12 weeks of treatment group and above the control group by t test score comparison P0.05,significant difference.Conclusion Nimotop can be effective in improving mild to moderate post-stroke depression in patients with cognitive function.
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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 | 0.001 |
| 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) | 0.001 | 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".