Cognitive Function In Strategic And Non-Strategic Cerebral Infarction Locations, And White Matter Changes On Head MSCT Scan
Bibliographic record
Abstract
Stroke is one of leading cause of mortality. Stroke increases 5-8 times the risk of cognitive impairment. The presence of strategic infarct locations and white matter changes were reported to be associated with cognitive impairment on ischemic stroke. This study aims to describe the characteristic of cognitive function of cerebral infarction patient in strategic and non-strategic locations; and white matter changes. This is descriptive study with retrospective design. Data of ischemic stroke patient at the Diagnostic Radiology Installation of Dr. Soetomo Surabaya during January - February 2020, were collected. Blennow scale was used to evaluate white matter changes, based on MSCT Scan. Degree of cognitive function assessed with MoCA-INA score. Total of 49 ischemic stroke patients, mostly in the age group of 51-60 and >60 years old (38,8%), male (59,2%), with strategic infarct locations (75,5%), and Blennow scale 2-3 (55,1%). Most of the subjects have decreased cognitive function (83.7%). Subjects who experienced cognitive dysfunction were mostly found in the age group 41 - 50 and >60 years old (34.7%). Cognitive impairment were mostly found in male patients (46.9%), with strategic infarct locations (69.4%), and with Blennow scale 2 – 3 (51%). Cognitive function in patient with strategic infarct locations, and white matter changes, mostly impaired.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".