494-P: The Role of Serum 25-Hydroxyvitamin D in Diabetes-Associated Cognitive Impairment
Bibliographic record
Abstract
Objective: 25-hydroxyvitamin D (25[OH]D) has received attention being involved in exerting effects in diabetes-associated mild cognitive impairment (MCI). We aimed to examine the relationship between 25(OH)D and the risk of incident MCI, and the exact mechanism to regulate MCI in diabetes. Methods: This cross-sectional study was conducted from 103 patients with type 2 diabetes (aged 40-75years), focusing on cognitive function. After adjustment for age, gender and education level, the partial correlation analysis were used to estimate the relationship of 25(OH)D level with multiple neuropsychological tests and metabolism profile, including glucose and lipid metabolism, blood pressure, coagulation and thyroid function. The mediating effects of metabolism profile on the relationship 25(OH)D with cognitive function were were performed by the simple mediating effect model of Model 4. Results: These participants were finally divided into two groups basing on MoCA: MCI group (n=31) and healthy group (n=72). MCI group showed a lower 25(OH)D level and unfavorable metabolic profiles characterized by higher levels of HbA1c and LPa, but lower levels of INR and FT3 (all p<0.05). The partial correlation analysis found there were positive correlation between 25(OH)D and MoCA, VFT, CDT, LMT, AVLT-IR and AVLT-DR (respectively, r=0.023, p=0.0; 02; r=0.272, p=0.006; r=0.280, p=0.005; r=0.241, p=0.016; r=0.319, p=0.001; r=0.242 p=0.015), primarily reflecting memory, execution and attention. Decreased 25(OH)D level was also correlated with lower FT3 and higher HbAc1 and LPa (respectively, r=0.361, p<0.001; r=-0.223, p=0.026; r=-0.260, p=0.009). In addition, the association between 25(OH)D and MoCA was found to be mediated by FT3 and LPa, with the mediation effect calculated to be 25.57% and 16.69%. Conclusion: Decreased 25(OH)D increased the risk of incident MCI, especially memory, execution and attention dysfunction in diabetes, and their relationship were may mediated by FT3 and LPa. Disclosure W.Zhu: None. S.Wang: None. T.Niu: None. K.Liu: None.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".