Influence of glucose metabolism on cognitive function of patients with acute small-artery occlusion.
Bibliographic record
Abstract
The aim of this study was to evaluate the influence of abnormal glucose metabolism on cognitive function of patients with acute small-arterial occlusion (SAO). The present study included 1,211 patients, with small-artery occlusion according to the Trial of Org 10172 in acute stroke treatment (TOAST) classification, admitted between March 2014 and December 2016 to The Second Hospital of Jiaxing. According to cognitive function, the patients were divided into a group of normal cognitive function, a mild cognitive impairment group (MCI group) and a dementia group. The patients were also divided into normal a blood sugar group, an impaired glucose regulation group (IGR group) and a diabetes mellitus (DM) group based on glucose metabolism. Cognitive functions of patients in the different glucose metabolism groups were compared based on Mini-mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). General data, medical history, neuropsychological assessment and haematological index of the patients in each group were analyzed. Logistic regression analysis was used to study independent risk factors influencing cognitive impairment. When comparing the group of normal cognitive function with the MCI group, there were no statistical significant differences between the MMSEs scores of patients among the three groups, but the difference in MoCAs scores had statistical significance. Hypertension history, hyperhomocysteinemia (Hhcy) and sedentariness were independent risk factors for SAO patients with MCI. When comparing the group of normal cognitive function with the dementia group, there were statistically significant differences (P<0.05) between the MMSE and MoCA scores of patients among the three groups. Abnormal glucose metabolism, old age, female, high blood pressure, Hhcy, family stroke history and sedentariness were independent risk factors for SAO patients with dementia. In conclusion, abnormal glucose metabolism impairing cognitive function is not an independent risk factor for SAO patients with MCI, but is an independent risk factor for SAO patients with dementia.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".