Assessment of cognitive functions in middle-aged patients with type 2 diabetes
Bibliographic record
Abstract
Objectives: to evaluate cognitive functions in middle-aged patients with type 2 diabetes mellitus (T2DM).Materials and methods. The total number of participants was 72 people. The main group included 52 patients with T2DM (25 women, 27 men), the control group included 20 people (11 women, 9 men) without T2DM and without carbohydrate metabolism disorders.Cognitive function was assessed using the following scales: the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). Anxiety-depressive disorders were assessed using self-administered questionnaires: the Hospital Anxiety and Depression Scale (HADS) and the Beck’s Depression Inventory scale.Results. In the main group the average duration of T2DM was 8.31 ± 0.53 years, the average HbA1c level was 8.14 ± 0.07%, the fasting glycemia level was 7.07 ± 0.11 mmol/l, average body mass index (BMI) – 28.45 ± 0.60 kg/m2. 18 patients in this group had a normal body weight with an average BMI 23.58 ± 0.26 kg/m2, 12 people had an excessive body weight with an average BMI 28.21 ± 0.43 kg/m2, 22 patients had obesity of various severities with an average BMI 32.57 ± 0.51 kg/m2. The following results were obtained in patients with T2DM according to the MMSE scale: 54% (n = 28) of patients had no cognitive impairment (CI), 46% (n = 24) had various degrees of СІ, of which 27% (n = 14) had mild degree CI, 19% (n = 10) had moderate severity CI. According to the MoCA scale, cognitive deficit was found in 44% of the participants of the main group. According to the Beck’s scale, the following data were obtained: 10 (20%) people had no signs of depression, 34 (65%) of the respondents had signs of subclinical depression, 3 (15%) had signs of clinically expressed depression.Conclusions. We established a direct, close relationship between BMI and HbA1c level according to Spearman’s rank correlation coefficient (ρ = 0.730). When CI is detected, the doctor should review the treatment plan for such patients, avoiding complex management plans that overload patients physically, emotionally, or financially, and will not be implemented to the required extent due to cognitive deficits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".