Biochemical and morphometric methods for assessing cognitive impairment in patients with type 2 diabetes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aim . To study the features of biochemical and morphometric parameters in patients with type 2 diabetes (T2D) and cognitive impairment (CI). M aterial and methods. The experimental group included 72 patients with CI and T2D, the control group − 20 patients with T2D and without CI. We used the Montreal Cognitive Scale (MoCA) to assess the presence of CI. We also evaluated the levels of 1,5-anhydroglucitol (1,5-AG), continuous glucose monitoring (CGM), and data of brain magnetic resonance imaging (MRI). R e sults . We revealed that patients with T2D and CI have high HbA1c levels, but there was no significant difference of 1,5-AG levels between the groups. In patients with CI, we also established a decrease in gray and white matter surface area, as well as subcortical structures (the hippocampus, nucleus accumbens and putamen on both sides; the amygdala and globus pallidus on the right). The severity of CI correlated with polyneuropathy severity. In patients with proliferative retinopathy, there was a decrease in the volume of the caudate nucleus, globus pallidus, putamen and nucleus accumbens. Conclusion . The study revealed that patients with T2D with CI have worse levels of carbohydrate metabolism parameters, as well as a decrease in the cortical and subcortical brain structures.
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.
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 | 0.000 |
| 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 it