Study of the clinical characteristics on cognitive function impairment after cerebral infarction
Bibliographic record
Abstract
Objective To investigate the Clinical Characteristics on cognitive function impairment after cerebral infarction.Methods Selected 149 cases of acute stroke patients,whowere hospitalized in neurological department of the First People's Hospital of Zhumadian,definited the sites of the infarction by CT or MRI.Evaluated cognition and daily life activities by MoCA﹑CDR and ADL scale after 3 months,According to the MoCA and CDR standards,were assigned to N-VCI group,VCIND group and VD group.Then,studied the clinical characteristics of VCI.Results ①After cerebral infarction cognitive impairment was heavier,the lower the daily activities(P 0.01);②Compared with VCIND and N-VCI group,the scores of view space and executive capability,memory,attention,languages and orientation in VD group were significantly lower,there were significantly statistical differences(P 0.01),compared with N-VCI group,the scores of view space and executive capability,languages in VCIND group were significantly lower,there were significantly statistical differences(P 0.01);③There were significantly statistical difference between VCI group and N-VCI group in frontal lobe,temporal lobe,hemorrhage of basal ganglion area and thalamencephalon(P 0.05).Conclusion Cognitive function impairment is a common complication of cerebral infarction patients,and the main dysfunction were executive function,attention,short-term memory and languages;Infarction of frontal lobe,temporal lobe,hemorrhage of basal ganglion area and thalamencephalon significantly cause VCI.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".