Treatment of Cognitive Impairment and the Role of Demographic Factors in Disease Progression: The Final Results of the Russian Observational Program “DIAMANT”
Bibliographic record
Abstract
BACKGROUND: Chronic cerebral ischemia (CCI) is a form of cerebrovascular disease manifested as a vascular cognitive impairment (VCI). The management of the patients with CCI is determined by a healthy lifestyle and early therapy aimed at correcting and preventing this disease. Divaza is a drug with endothelial protective and nootropic effects. We present the final efficacy and safety analysis of all-Russian, open-label, prospective, observational, multicenter study of Divaza and emphasize the role of demographic and socioeconomic factors in cognitive disorder (CD) progression. METHODS: CCI patients (n = 2,583) with or without CD were enrolled. Patients received Divaza (2 tablets 3 times per day for 12 weeks). Montreal Cognitive Assessment (MoCA) testing was required. The change in the mean MoCA score post-treatment was used as the primary endpoint. As the secondary endpoints, the number of patients with a MoCA <26 and ≤17 (dementia); the percentage of patients with a MoCA score improvement in different age groups; the dynamics of mean MoCA score in age groups; and the relationship between CD and sex or regional social/economic factors were assessed. RESULTS: Divaza therapy led to a significant improvement: the mean MoCA score was up to 20% higher post-treatment (Wilcoxon test, p < 0.0001 vs. baseline). The number of participants with MoCA ≥26 increased by 33.6%. The number of patients with dementia was 4.1 times less after therapy (p < 0.00001 vs. baseline). Divaza improved cognitive functions of patients in each age group. Findings demonstrate that regional socioeconomic factors contribute to CD development and severity. The observed divergence between sexes was a result of a larger number of women enrolled. The study confirmed the safety of Divaza. CONCLUSIONS: In the study, we observed the efficacy of Divaza for the treatment of CD: a therapy contributed to an increase in the mean MoCA score and the positive dynamics in the number of patients with cognitive improvement.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".