Markers of cognitive impairment in patients with type 2 diabetes
Bibliographic record
Abstract
Abstract Background. The study aimed to evaluate the correlations of cognitive function with metabolic, nutritional, hormonal and immunologic parameters in patients with type 2 diabetes (T2D), in order to identify markers of cognitive impairment. Material and methods. This cross-sectional study included 216 T2D patients and 23 healthy individuals (HC). The cognitive status was evaluated by the MoCA test. From HC and 145 T2D patients several parameters were also determined: C-peptide, vitamin B12, high-sensitivity CRP (by chemiluminescent immunometric assay), HbA1c, lipids, cortisol, TSH, Mg (by a Cobas 6000 analyzer), glucose (by glucose-oxidase method) and leptin and adiponectin (by ELISA method). Statistical significance was set at p < 0.05. Results. There was a significant difference in the MoCA scores between HC and T2D groups (26.0(17.0-29.0) vs. 23.0(13.0- 31.0) points; p: 0.004). T2D patients with cognitive dysfunction were significantly older and less formally educated (p < 0.0001). Age negatively correlated with MoCA scores (-0.31; 95%CI:-0.42,-0.18; p < 0.0001). T2D patients had significantly lower visuospatial/executive (4.0(0.0-5.0) vs. 5.0(2.0-5.0) points; p: 0.04) and delayed recall scores (2.0(0.0- 5.0) vs. 3.0(1.0-5.0) points; p: 0.03) and lower serum Mg concentrations (0.81(0.12-0.99) vs. 0.92(0.41-1.35) mmol/l, p < 0.0001). Serum Mg levels positively correlated with MoCA scores (0.24, 95%CI: 0.07, 0.39; p: 0.003) and with visuospatial/ executive (0.30; 95%CI: 0.14, 0.45; p: 0.0002) and naming functions (0.18; 95%CI: 0.01, 0.34; p: 0.02). Conclusions. Patients with T2D had significant cognitive impairment, with decrements in the visuospatial/executive and delayed recall domains. Younger age and higher education correlated with better cognitive function. Serum Mg levels correlated positively with overall cognitive function and with visuospatial/executive and naming domains.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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".