Clinical and neuropsychological features of Alzheimer’s disease in the combination with cerebrovascular disease
Bibliographic record
Abstract
AIM: To study clinical/neuropsychological and neuroimaging characteristics of Alzheimer's disease in the combination with cerebrovascular disease (CVD). MATERIAL AND METHODS: Ninety patients with dementia, including 35 patients with AD, 35 patients with mixed dementia (MD) and 20 patients with vascular dementia, were examined. The character of dementia was established according to NINCDS-ADRDA and NINDS-AIREN criteria. The neuropsychological battery included Addenbrooke's Cognitive Examination (ACE-R), Montreal Cognitive Assessment scale (MoCA), fluency test and the visual memory test (SCT). Affective and behavioral disorders were assessed with the Cornell Depression Scale in patients with dementia and a short version of NPI-4 in AD patients. Focal and diffuse changes were assessed with MRI. RESULTS AND CONCLUSION: Patients with MD were older, had more often pseudobulbar syndrome (74%), postural instability (66%), frontal gait disorders (57%), Neuropsychological profile of patients with MD had mixed amnestic-dysexecutive character and, depending on the severity of vascular pathology, was closer to AD or to vascular dementia. Neuroimaging changes of patients with MD were correlated with clinical manifestations. The authors propose the approaches to the differential diagnosis of MD that allow to determine the main directions of treatment more precisely and to predict disease course.
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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 | 0.000 | 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 | 0.001 |
| 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 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".