Mild Cognitive Impairment in Young Type 1 Diabetes Mellitus Patients and Correlation with Diabetes Control, Lipid Profile, and High-sensitivity C-reactive Protein
Bibliographic record
Abstract
BACKGROUND: It has been an established fact that diabetes mellitus (DM) is associated with lower levels of cognitive function and may be a risk factor for the development of mild cognitive impairment (MCI) and dementia. Most of these studies involved elderly diabetes patients and aging itself may contribute to cognitive impairment. Since a majority of the individuals with DM are between the ages of 40 and 59 years, it is crucial to determine the factors that contribute to cognitive impairment in these patients. So this study was done to correlate the various physical and metabolic parameters with MCI in young individuals with type 1 DM. MATERIALS AND METHODS: In this cross-sectional study, 126 patients with type 1 DM underwent cognitive assessment by the Montreal Cognitive Assessment test and their cognitive levels were correlated with their HbA1c, lipid profile, and high-sensitivity C-reactive protein (hs-CRP). RESULTS: The prevalence of MCI was 71.42%. MCI was significantly correlated with HbA1c, serum triglycerides, low-density lipoprotein, very low-density lipoprotein, and hs-CRP levels. The factors that were statistically insignificant were the duration of diabetes, body mass index, and high-density lipoprotein levels. CONCLUSION: Cognitive impairment is seen even in type 1 DM patients. It should be considered along with the other complications of DM.
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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 | 0.001 |
| 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".