Mixed anxiety-depressive disorder in the early period of ischemic stroke and its treatment with ampakines
Bibliographic record
Abstract
OBJECTIVE: Study of the efficacy of ampakins (Ampasse) in patients with anxiety and depressive disorders in the early recovery period of ischemic stroke (IS). MATERIAL AND METHODS: The study included 203 patients with IS in the early recovery period who underwent rehabilitation measures at the Doctor Clinic medical facility (Tuimazy, Republic of Bashkortostan) in the period from January 2023 to August 2025. The study included patients with a history of IS no later than 3-6 months before the start date of the study, with signs of anxiety and depression of varying severity, who scored at least 8 points but no higher than 10 (the level of subclinically expressed symptoms) on the hospital anxiety and depression scale (HADS), as well as those who scored the required number of points on The Montreal Cognitive Function Assessment Scale (MoCA) (at least 10 points). The patients who met the inclusion criteria were randomly assigned to two groups: the experimental group and the control group. In the experimental group, 102 patients received Ampasse therapy in addition to standard therapy. The average age of these patients was 63±8.9 years, 48 of whom were women and 54 were men. In the control group, 101 patients received only basic therapy. The average age of the patients was 66±8.1 years), there were 45 women and 56 men. Throughout the study, the Beck anxiety, Beck depression, HADS, and the Spielberger-Khanin anxiety scales were also used. RESULTS: The dynamics of improvement on all psychometric scales in the experimental group was statistically and clinically more pronounced than in the control group, which received only standard treatment. CONCLUSION: The results of this study demonstrated the positive effect of Ampasse on reducing the symptoms of anxiety and depression in patients after undergoing AI in the early recovery period.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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".