Cognitive Functions in Acute Ischemic Stroke Period
Bibliographic record
Abstract
Aim: to assess the dynamics of the state of cognitive functions in the acute period of ischemic stroke. Design: prospective study. Material and methods. The study included a group of observation of patients in the acute period of ischemic stroke in the amount of 26 people. The cognitive sphere was assessed twice: on admission to the hospital on days 2-3, and on discharge on days 8-10. Scales used to assess the cognitive sphere: Mini Mental State Examination (MMSE) Montreal Cognitive Assessment (MoCA), Frontal Assessment Battery (FAB), The Clock-drawing Test (CDT). The emotional-volitional sphere was assessed using the Hospital Anxiety and Depression Scale (HADS). Data were considered statistically significant at p < 0.05. Results. In a dynamic assessment, cognitive disorders in the observed group were most pronounced upon admission to the hospital. By discharge on days 8-10, according to the MMSE test, there was a positive trend, the increase was by 2b, MoCA by 2b, FAB by 1b, respectively, the results were significant (p < 0.001, p < 0.001, p = 0.001). In the analysis of subscales according to the MMSE test, improvements to the extract were according to word reproduction (p = 0.005), speech functions (p = 0.04). According to MoCA, the improvement in total scores was due to subscales: memory (p = 0.01), attention (p = 0.05), speech (p = 0.04), abstraction (p = 0.005). Changes in the FAB test were driven by the conceptualization function (p = 0.04) and the simple choice response (p = 0.008). Anxiety and depression were not detected in the studied patients. Conclusion. During the acute period of ischemic stroke, the degree of cognitive impairment significantly decreases by 8-10 days against the background of ongoing treatment. Keywords: stroke, cognitive impairment, dementia, post-stroke cognitive impairment, mild cognitive impairment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".