Markers for cognitive impairments and variability of glycaemia in patients with type 1 diabetes mellitus
Bibliographic record
Abstract
AIM: To analyze the relationship between the markers of cognitive impairment and the variability of glycaemia in patients with DM type 1. MATERIAL AND METHODS: Patients with DM type 1 and people without DM (the control group) were examined. Neuropsychological testing (MoCA-test), brain MRI and proton magnetic resonance spectroscopy of the brain, as well as parameters of carbohydrate metabolism (fasting blood glucose, glycated hemoglobin and glycemic variability coefficients) were used. RESULTS AND CONCLUSION: Data on the decrease in the overall performance of the MoCA-test (in particular, on assignments to memory and attention domains), atrophic changes in the cerebral cortex and violations of the content of the main metabolites of brain cells in patients with DM type 1 in comparison with the control group were obtained. A number of positive and negative correlations between these disorders and coefficients of glycemic variability were found in patients with DM type 1. The results suggest a significant negative effect of high levels of glycaemia variability on cognitive functions in patients with DM type 1.
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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 | 0.000 |
| 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".