Abstract 19350: The Decline of the Montreal Cognitive Test Can Detect Post-stroke Cognitive Decline Determined by a Formal Neuropsychological Evaluation
Bibliographic record
Abstract
Objective: We aimed to establish the association of decline in cognitive screening tests scores, the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE), with the decline in neuropsychological diagnostic status from 3-6 months to a year later. Method: Patients with ischemic stroke/ Transient Ischemic Attack (TIA) received the MoCA and MMSE within 14 days after stroke, then 3-6 months and 1 year later. The decline in MoCA and MMSE scores were defined by reduction of 2 points or more in total scores, while stable/improved MoCA scores referred to reduction of MoCA scores less than 2 or improved scores. The decline in neuropsychological diagnostic status was defined by category transition from no cognitive impairment to any cognitive impairment (≥1 domain), from mild cognitive impairment (impairment in 1-2 domains) to moderate cognitive impairment (impairment >2 domains) and dementia (i.e., functional loss associated with cognitive impairment, DSM-IV criteria), as well as from moderate cognitive impairment to dementia. Results: At baseline, most patients were Chinese (70.3%) and males (69.8%) with age of 59.8 ± 11.6 years and education of 7.7 ± 4.3 years. 327 out of 400 stroke/TIA patients completed neuropsychological assessments at 3-6 months and 275 completed at 1 year after their index cerebrovascular events. Of these, 31 (11.3%) had decline in neuropsychological diagnostic status. Logistic regression was used to model the association between probability of decline in neuropsychological diagnostic status and the decline in MMSE or MoCA scores. There were not significant associations between the decline of neuropsychological diagnostic status and the decline in MMSE scores. Controlling baseline MoCA scores and the change scores of MoCA from baseline to 3-6 months, patients with decline in MoCA scores (reduction of 2 points or more) were associated with higher risks of decline in neuropsychological diagnostic status, relative to those with stable/ improved MoCA scores (odd ratio=3.21, p=0.004). Conclusion: The decline in MoCA scores are associated with a higher risks for decline in neuropsychological diagnostic status from 3-6 months to 1 year, therefore may be used to detect post-stroke cognitive decline.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.009 | 0.002 |
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".