RELATIONSHIP WITH EXPRESSIVENESS OF ALEXITHYMIA WITH PARAMETERS OF CARBOHYDRATE METABOLISM IN PATIENTS WITH TYPE 2 DIABETES IN NONALCOHOLIC FATTY LIVER DISEASE AND OBESITY (Literature review and own data)
Bibliographic record
Abstract
To study the expression of alexithymia and establish its relationship with carbohydrate metabolism in patients with type 2 diabetes if NAFLD and obesity were examined 55 patients with type 2 diabetes in combination with NAFLD the stage presence of steatosis and obesity. The average age of patients was (57.74 ± 1.16) years, duration of diabetes — (9.07 ± 0.72) years. Severity of alexithymia was assessed by the Toronto alexithymia scale (TAS-26). The study found that among patients with type 2 diabetes in combination with NAFLD the stage steatosis, alexithymia found in 25 % of cases. Women suffering from type 2 diabetes in combination with NAFLD the stage presence of steatosis and obesity can be attributed to risk alexithymia. In patients with type 2 diabetes in combination with NAFLD the stage presence of steatosis and obesity, found a direct relationship between severity of alexithymia and compensation of carbohydrate metabolism. In this group of patients alexithymia can be considered additional clinical manifestation of encephalopathy. In order to improve treatment and prevent the development and progression of complications of type 2 diabetes must take into account the peculiarities of the psychological profile and emotional state that can be detected in patients with simple and affordable questionnaires, such as Toronto alexithymia scale.
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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) | 0.001 | 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".