Impact of cerebral microbleeds on cognitive functions and its risk factors in acute cerebral infarction patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background Cerebral microbleeds (CMBs) are subclinical lesions of the brain parenchyma and an important marker for the clinical diagnosis of central nervous system vascular disease. However, the relationship between CMBs and cerebral infarction, cerebral hemorrhage, and cognitive impairment remains unclear.Methods In order to explore the cognitive function and risk factors of patients with acute cerebral infarction (ACI) complicated with cerebral microbleeds, 190 patients with ACI were collected. The patients were divided into groups with CMBs (n = 108) and groups without CMBs (n = 82) according to the presence or absence of CMBs. The general data, various examination indicators, Montreal Cognitive Assessment Scale (MoCA) scores of the two groups of patients were analyzed. Sixty healthy controls who underwent physical examination in our hospital during the same period were included as the healthy control group.Results ACI patients with CMBs had significantly higher rates of leukoaraiosis, hyperhomocysteinemia, hypercholesterolemia, and hypertension. Cognitive function was significantly lower in ACI patients with CMBs. Serum D-dimer, serum high-sensitivity C-reactive protein, serum neuron-specific enolase, and serum S100β of ACI patients with CMBs were all negatively correlated with their MoCA scores.Conclusion ACI patients with CMBs tended to have lower cognitive abilities than ACI patients without CMBs.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it