Cognitive impairment in diabetes mellitus and hypertension, a possibility of correction
Bibliographic record
Abstract
Objective: to evaluate cognitive functions in patients with type 2 diabetes mellitus (DM2) and hypertension and the efficacy of Ginkgo biloba extract Egb 761®. Patients and methods: 120 patients with DM2 and 50 hypertensive patients with no complications or a history of stroke and/or myocardial infarction, without active complaints of hypomnesia and other cognitive functions were examined. The exclusion criteria were prior stroke and/or myocardial infarction; clinically significant diseases of the peripheral arteries and major arteries of the head; DM2 decompensation; glomerular filtration rate <60 ml/min; proliferative retinopathy; and other endocrine diseases. The investigators used the following methods for the evaluation of cognitive functions: the Mini-Mental State Examination, the Montreal Cognitive Assessment, and the hand-eye coordination test (Parts A and B). Results and discussion: 85% of the patients with DM2 were found to have cognitive impairments (CI): disorders of attention, short-term memory, and thinking speed. Out of them, 82.5% had moderate CI and 2.5% had dementia. 30% of the hypertensive patients were diagnosed as having moderate CIs and 10% had dementia. At the same time, the degree of CI was higher in the patients with MD2 than in those with hypertension. The use of Egb 761® 240 mg/day for 3 months had a statistically significant positive impact on cognitive functions (improvements in short-term memory, concentration, and thinking speed) and everyday activity. Conclusion: The authors consider that CIs are the first sign of encephalopathy in DM2. It is also noted that DM2 has a more pronounced impact on cognitive functions than hypertension. Egb 761® can be used as an effective drug to treat CI in these diseases.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".