Clinical efficacy and safety of nicergoline combined with oxiracetam in the treatment of vascular cognitive impairment
Bibliographic record
Abstract
Objective To evaluate the clinical efficacy and safety of nicergoline combined with oxiracetam in the treatment of vascular cognitive impairment(VCI).Methods One hundred and twenty-two subjects with VCI were randomly divided into nicergoline group(n = 38) with nicergoline 10 mg,tid po,oxiracetam group(n = 41) with oxiracetam 800 mg,tid po,and combined group(n = 43) with nicergoline plus oxiracetam of the same dose.After three-month treatment,the Mon-treal Cognitive Assessment(MoCA) and activities of daily living(ADL) scale were compared before and after the treatment to evaluate the improvement of cognitive and activities of daily living ability as well as the side effects of the two drugs.Results After 3-month treatment,MoCA score was significantly elevated(P 0.05) and ADL was significantly reduced in all of the three groups(P 0.05),and the changes in the combined group was much more obvious than those of the other two groups(P 0.05).No obvious side effects were observed in the periods of treatment in all the three groups.Conclusion Combined treatment was superior to either of the single regiment in the treatment of VCI without increasing the risk of developing side effects.
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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) | 0.000 | 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".