Association of serum cystatin C and risk of mild cognitive impairment in elderly patients with type 2 diabetes mellitus
Bibliographic record
Abstract
Objective To investigate the association of serum Cystatin C level and mild cognitive impairment(MCI)in elderly people with type 2diabetes mellitus(T2DM)and to analyze the risk factors for MCI.Methods A total of 156elderly people with type 2diabetes mellitus were divided into two groups:MCI and normal cognition(NC)group.All subjects were evaluated with cognition scores of Mini-mental state examination(MMSE),Montreal Cognitive Assessment(MoCA),SelfRating Anxiety Scale(SAS),Center for Epidemiogical Studies Depression Scale(CES-D),Screening Scale for Parkinson disease(SSPD),Activity of Daily Living(ADL),and Global Deterioration Scale(GDS).CystatinC,HbA1c,triglyceride(TG),total cholesterol(TC),and blood pressure were examined.Independent t-test,correlations and logistic regression analysis were performed.Results The elderly diabetic patients complicated with MCI showed a higher level of serum Cystatin C than those in NC group(P=0.018).Cystatin C was negatively correlated with the score of MMSE,and score,visuospatial/ executive,naming,attention,language and delayed recall of MOCA(P0.001).Logistic regression analysis showed that diabetes duration,hypertension,HbA1cand Cystatin C were the variables of the equation.Conclusion Multiple risk factor including the higher level of serum Cystatin C may induce MCI in elderly T2DM people,but larger sample study is needed for further verification.
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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 | 0.001 | 0.001 |
| 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".