Impact of large and small artery lesions on cognitive function after acute ischemic stroke
Bibliographic record
Abstract
Objective: To investigate the impact of large and small artery lesions on cognitive function after acute ischemic stroke. Methods: 60 cases of patients with acute ischemic stroke were collected and divided into large artery lesion group and small artery lesion group based on the TOAST classification diagnosis criteria and iconography data, with 17 cases in large artery lesion group and 43 cases in small artery lesion group. Cognitive function of two groups was evaluated and compared with each other by MoCA scale at 90 days after the stroke. Results: The numbers of ischemic area in cortex and frontal lobe of large artery lesion group are more than small artery lesion group(P0.05), but in pons the result is contrary(P0.05). The MoCA scores of naming, attention, language and abstraction in large artery lesion group were lower than those in small artery lesion group(P0.05, P0.05). Conclusion: The cognitive impairment of large artery lesion after acute ischemic stroke is much severer than that of small artery lesion.
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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 | 0.000 |
| 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".