The influence of urinary kallidinogenase on executive functions in the patients with ischemic stroke
Bibliographic record
Abstract
Objective To observe executive functions of patients with ischemic stroke after the treatment combined with urinary kallidinogenase.Methods 98 cases of ischemic stroke were randomly divided into study group and control group.According to the guideline,all the case received the regular treatment,while patients in study group were combined with urinary kallidinogenase through injection.On 21d and in 3 months after treatment,the executive functions were assessed with Montreal cognitive assessment scale(MoCA)and concise intelligent state examination(MMSE)and the Wisconsin Card Sorting Test(WCST)respectively.Results On 21d,only the persistent error responses and time of sorting for the WCST in study group were significantly more than control group(P0.05),but 3 months later,the MoCA scores in study group were significantly higher than control group(P0.01),and the MMSE scores in study group were significantly higher than control group(P0.05).In study group,the error responses(P0.05)and persistent error responses(P0.01)of WCST were significantly reduced,the times of sorting were significantly increased(P0.01).Compared to scores on 21d,the second test of study group had no significant change 3 months later(P0.05),but the scores of control group were reduced significantly in MoCA(P0.05),the scores in MMSE were also reduced significantly(P0.05).In WCST,the persistent error responses were increased significantly(P0.01)and the times of sorting were significantly reduced(P0.01).Conclusion The urinary kallidinogenase is effective to protect executive function from impairment,such as visuospatial ability,cognitive flexibility and working memory of patients with ischemic stroke.It is prospective that we can prevent vascular cognitive impairment after stroke with urinary kallidinogenase.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".