[The role of melatonin in the development of post-stroke cognitive impairment in elderly patients in comparison with middle-aged patients].
Bibliographic record
Abstract
In the acute phase of ischemic stroke 73 patients aged from 61 to 86 years and 47 patients aged 36 to 60 years underwent a comprehensive neuropsychological testing, evaluation of the concentration of 6-sulfatoximelatonin 6-sulfatoximelatonin in the night urine and brain MRI morphometry in some patients. The control group consisted of 14 persons without cerebrovascular disease. Younger and middle-aged patients had higher levels of 6-sulfatoximelatonin compared to both controls and elderly patients. The level of the metabolite in patients older than 60 years and the control group did not differ. In the group of patients older than 60 years we revealed a direct correlation with the severity of the stroke and concentration of 6-sulfatoximelatonin. Metabolite concentration was inversely correlated with the results of the Mini Mental State Examination, Frontal Assessment Battery, verbal fluency, clock drawing test and directly - with the Shulte tables result. High concentrations of 6-sulfatoximelatonin was also associated with a large size of acute ischemic lesion and hippocampal volume. The highest concentration of the metabolite was observed in patients with dysexecutive cognitive impairment and the lowest in patients with normal cognitive status and amnestic deficit. Thus, in elderly patients a high concentration of 6-6-sulfatoximelatonin is a marker "pure" post-stroke cognitive impairment, whereas a low concentration of metabolite in the presence of cognitive deficits may be indicative of its mixed, that is, in part, of hippocampal type.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".