Screening for cognitive impairment with the montreal cognitive assessment at six months after stroke and transient ischemic attack
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Cognitive impairment usually occurs in the acute phase after stroke, but most stroke survivors experience some form of long-term cognitive deficit. The aim of this study was to establish the cutoff point of the Montreal Cognitive Assessment (MoCA-Beijing) in screening for cognitive impairment (CI) at 6 months of ischemic stroke or transient ischemic attack (TIA). METHODS: A total of 301 stroke patients and 15 TIA patients were recruited. Patients were assessed at six months by the MoCA-Beijing and a formal neuropsychological battery. The 1.5 SD below the level of the norm on several tests indicated cognitive impairment (CI). RESULTS: Most stroke and TIA patients were in their 60s (61.23 ± 10.60 years old). The optimal cutoff point for MoCA-Beijing in discriminating patients with CI from those with no cognitive impairment (NCI) was 24/25 (sensitivity 63.28%, specificity 71.22%, PPV = 73.68%, NPV = 60.37%, classification accuracy = 66.72%). The predominant cognitive deficits were visuospatial ability (84.85%), and then attention/executive function (79.27%). CONCLUSION: The MoCA-Beijing cutoff score for differentiating CI from NCI after stroke and TIA at six months was at 24/25, and it is important for routine clinical practice.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it