Neuroprotective therapy in chronic cerebrovascular diseases
Bibliographic record
Abstract
Introduction . In chronic cerebrovascular diseases (CVD), neuroprotective medications, the effectiveness of which requires further study, are widely used. The effectiveness of Cytoflavinum in patients with chronic CVD was evaluated. Material and methods . The data of 60 patients (35 women and 25 men) with chronic CVD were analyzed. 30 patients, included in the main group (mean age 61 ± 5.87 years old), in addition to basic therapy (antihypertensive, antithrombotic drugs, statins), received Cytoflavinum according to the following scheme: 1 time a day in the morning intravenously 10.0 ml for 10 days, then 2 tablets 2 times a day for 30 days. 30 patients in the comparison group (mean age 59.8 ± 8.7 years old) received only basic therapy. An analysis of patient complaints, neurological status was carried out. Mini Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), Hospital Anxiety and Depression Scale (HADS) were used. Results . In the group of patients taking Cytoflavinum, there was a decrease in the frequency and intensity of headache, dizziness, an increase in MMSE score from 26.32 ± 0.86 to 28.05 ± 1.36 (p ≤ 0.05), in MoCA score from 25.35 ± 0.96 to 27.88 ± 1.13 (p ≤ 0.05), decrease in anxiety score from 8.82 ± 1.31 to 5.2 ± 2.82 (p ≤ 0.05) and decrease in HADS depression score from 8.31 ± 1.85 to 4.6 ± 3.15 (p ≤ 0.05). Conclusion . The inclusion of Cytoflavinum in the treatment regimen for patients with chronic CVD helps to reduce the frequency and intensity of headaches and dizziness, improve cognitive functions, and reduce the level of anxiety and depression.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".