Risk factors for decline in Montreal Cognitive Assessment (MoCA) scores in patients with acute transient ischemic attack and minor stroke
Bibliographic record
Abstract
Cognitive impairment after stroke/transient ischemic attack (TIA) has a high prevalence. The authors aimed to explore the risk factors for declined cognitive function with Montreal Cognitive Assessment (MoCA)-Beijing in patients with stroke/TIA at acute phase. Total 2283 patients with acute stroke/TIA without a history of dementia were assessed at 2 weeks of onset. Patients were assessed by MoCA-Beijing on day 14 and at 3 months follow-ups. Cognitive impairment was defined as MoCA-Beijing ≤22. Patients' cognitive status was considered as declined if there were a reduction of ≥2 points in MoCA-Beijing score and patients were considered to have improved if there were an increase of ≥2 points. The score of MoCA-Beijing was considered to be stable if there were an increase or decrease of 1 point. Most patients were in 60 s (60.96 ± 10.75 years old) with a median (interquartile range) National Institute of Health Stroke Scale score of 3.00 (4.00) and greater than primary school level of education, and 1657 participants (72.58%) were male. Cognitive evaluation was conducted in 2283 of 2625 patients (82.70%) with MoCA-Beijing at baseline. Total 292 (12.79%) patients have a cognitive decline at 3 months, 786 (34.42%) patients were stable and 1205 (52.78%) patients were improved. In the logistic regression, a history of hypertension was associated with cognitive deterioration from baseline to 3-month. Patients with a history of hypertension have a higher risk for cognitive deterioration from baseline to 3-month after stroke/TIA.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".