Post-stroke executive dysfunction and verbal fluency negatively correlated to IL8
Bibliographic record
Abstract
Patients with acute ischemic stroke are at a higher risk of developing cognitive impairment which could be often attributed to cytokine activation. To explore the relationship between the cognitive performance and the inflammatory markers in the ischemic stroke patients at the early stage. A cross-sectional case-control study was performed on 44 ischemic stroke patients. The patients underwent the following battery of evaluation: (A) assessment of stroke disability by modified Rankin Scale (mRS) and National Institute of Health Stroke Scale (NIHSS). (B) neuropsychological evaluation using Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) scale, trail making test (TMT), and Controlled Oral Word Association Test (COWAT). (C) Assessment of depression was done by using Beck Depression Inventory (BDI). Measurement of the serum levels of ESR, C-reactive protein, and IL-8 was done. This study included 44 ages, sex, and educational level matched controls for comparison of neuropsychological tests and serum level of IL-8. The patients showed worse performance in neuropsychological tests (MMSE, MoCA, COWAT, TMT) than the controls. There was a significant negative correlation between the serum level of IL-8 and (MoCA) ( r = − 0.43, p = 0.004), verbal fluency ( r = − 0.56, p < 0.001), and positive significant correlation between IL8 and executive functions ( r = 0.61, p < 0.001). The cognitive impairment in early acute ischemic stroke is highly correlated to the serum level of IL-8.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.003 | 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".