Mild cognitive impairment among type 2 diabetic patients attending Zagazig University outpatient clinics
Bibliographic record
Abstract
Abstract Objective The incidence of mild cognitive impairment increases with age, so this study is conducted to assess the relation between mild cognitive impairment and type 2 diabetes. Methods 100 type 2 diabetic patients attending Zagazig University outpatient clinics with age range from 40-60 years old was included in the study. These patients were matched with 100 non-diabetic controls regarding age, sex and educational class. Patients with important risk factors for cognitive disorders (cerebro-vascular stroke, organ failure, mental disorders, etc.) were not included in the study. Montreal cognitive assessment (MoCA) was done for all participants by an expert examiner using MoCA tool. Results Mild cognitive impairment was confirmed in 22% of diabetic patients and in 9% of control group (p < 0.05) with total MoCA score lower in diabetic group than control one (p < 0.01). Conclusion Type 2 diabetes may be associated with lower levels of cognitive function.
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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) | 0.000 | 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) | 0.001 | 0.001 |
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".