Cognitive impairments in acute lacunar stroke
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
BACKGROUND: The present study investigated the prevalence of cognitive deficits in acute lacunar stroke, validated the Mini Mental State Examination (MMSE) in detecting cognitive impairments in lacunar patients, and identified predictors of such deficits. METHODS: Seventy-one patients with lacunar stroke performed a comprehensive cognitive screening between day 2 and day 7 of their stay. The test battery included Trail Making Test A, Verbal Fluency, Object Learning Test, Ullevål Aphasia Screening, and Assessment of Stroke and other Brain Damage regarding motor apraxia, rational apraxia and visuospatial ability. RESULTS: Exactly 57.7% scored outside cutoff in at least one of the cognitive tests. Using a rigorous cutoff for MMSE (28/29 points) and the test battery as comparison, the sensitivity and specificity of MMSE were 0.69 and 0.67, respectively. Only male sex was significantly related to the presence of cognitive deficits (pathologic score on at least one of the tests--odds ratio 4.41, 95% confidence interval 1.45-13.43). CONCLUSION: Many lacunar stroke patients suffer cognitive problems. Male patients are at particular risk. MMSE failed to identify 30% of the patients diagnosed with cognitive deficits, and we suggest that lacunar stroke patients be offered a comprehensive cognitive screening, even when MMSE is normal.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it