Analysis on correlation of white matter lesion and lacunar infarction with vascular cognitive impairment.
Bibliographic record
Abstract
OBJECTIVE: To investigate the correlation of white matter lesion (WML) and lacunar infarction (LI) with vascular cognitive impairment. To investigate the correlation of cognitive changes of vascular dementia (VD) patients with lacunar infarction (LI) and white matter lesion (WML). METHODS: The clinical data of 60 cases of VD patients were evaluated and analyzed by combining with imageological findings and cognitive function assessment. RESULTS: Multiple LI and WML were negatively correlated with both mini-mental state examination (MMSE) scale scores (r = -0.401, P = 0.036) and clock drawing test (CDT) scale scores (r = -0.482, P = 0.028); the LI number in occipital lobe was negatively correlated with MMSE scores (r = 0.338, P = 0.048), the LI number in temporal lobe was negatively correlated with CDT scores (r = -0.235, P = 0.047), and the LI number in frontal lobe was negatively correlated with MoCA scores (r = -0.450, P = 0.039). CONCLUSION: All of LI location and number as well as WML are independent influencing factors of cognitive impairment of VD patients.
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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) | 0.002 | 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".