Analysis of the Role of Neurospecific Proteins in the Diagnosis of Cognitive Dysfunction in Patients with Type 1 Diabetes Mellitus
Bibliographic record
Abstract
Background. Impairment of the central nervous system manifested as cognitive dysfunction caused by metabolic or structural changes is a severe progressive vascular complication of type 1 diabetes mellitus (T1DM). Significant difficulties in the diagnosis of cognitive dysfunction are associated with subjective diagnostic techniques. Objective. To identify the role of neurospecific markers in the diagnosis of cognitive dysfunction in patients with T1DM. Materials and Methods. A total of 58 patients with T1DM aged 16?30 years were included in this study. The control group included 29 healthy young adults matched by gender and age. The survey included clinical and laboratory examinations, psychological testing and magnetic resonance imaging (MRI) of the brain. The Montreal Cognitive Assessment (MoCA) was used to screen for cognitive impairment. The levels of neurospecific proteins (S100, glial fibrillary acidic protein and myelin basic protein) were determined to identify early markers of cognitive impairment. MRI of the brain was performed using a Siemens Magnetom 1.0 T system to assess structural changes in the central nervous system. Results. The study revealed increased levels of all neurospecific proteins, which correlated with parameters of hyperglycaemia and cognitive deficit (MoCA scores of
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".