The relationship of score of MoCA with urine ACR and PCX in patients with type 2 diabetic mild cognitive impairment
Bibliographic record
Abstract
Objective To explore the changes of urine albumin-creatinine ratio (ACR) and urinary podocalyxin (PCX) and the relationship of score of Montreal cognitive assessment (MoCA) with urine ACR and PCX in patients with type 2 diabetic mild cognitive impairment. Methods Sixty patients with type 2 diabetes mellitus were used as the control group, and 60 patients with type 2 diabetic mild cognitive impairment as the mild cognitive impairment (MCI) group. The sex, age, and course of disease and years of education of patients were recorded, the fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglyceride (TG), total cholesterol (TC), low density lipoprotein (LDL), high-density lipoprotein (HDL), and urine ACR and PCX were measured, and the score of MoCA was assessed. Results The patients with type 2 diabetic nephropathy in the MCI group were significantly more than the control group (χ2=73.818, P<0.01). The score of MoCA of the MCI group was significantly lower than the control group (P<0.01), while urine ACR and PCX were higher than the control group (P<0.01). The score of MoCA was inversely associated with the urine ACR (r=-0.868, P<0.01) and PCX (r=-0.785, P<0.01), and those were the independent risk factors for the score of MoCA (P<0.01). Conclusions The urine ACR and PCX were closely related to the cognitive function of type 2 diabetes mellitus, which can be used as the screening indexes of type 2 diabetic mild cognitive impairment. Key words: Diabetes mellitus, type 2/CO/ME; Cognition disorders/CO/ME; Creatinine/ME; Albumins/ME; Podocytes
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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 | 0.000 |
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 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".