Quality of Life in Patients with Type 2 Diabetes Mellitus
Bibliographic record
Abstract
© 2016, Springer Science+Business Media New York.The article presents the results of a survey which included 120 patients with type 2 diabetes mellitus (DM-2) without complications, without stroke in anamnesis, with no active complaints about loss of memory, and/or other cognitive functions. The assessment tools for cognitive functions were MMSE, MoCA test, and TMT (parts A and B). SF-36 test was used to assess the quality of life (QoL). It was revealed that the QoL in patients with type 2 diabetes was significantly lower than in the general population. The correlation between QoL and the duration of the disease, the degree of cognitive impairment, and emotional state of patients was evaluated. It was revealed that QoL indicators significantly reduced with the growth of cognitive impairment and emotional disorders. The most significant reduction is revealed in the role functioning indexes and role-emotional functioning indexes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".