Vitamin D Deficiency in Patients with Type 2 Diabetes Mellitus Leads to Vascular Complications
Bibliographic record
Abstract
The presence of hyperglycemia in individuals with Type 2 Diabetes Mellitus (T2DM) is associated with systemic complications within multiple organ systems. Specifically, patients with T2DM have an increased risk of developing vascular endothelial damage. Interestingly, patients with T2DM are often found to be deficient in vitamin D, a fat-soluble vitamin that not only plays a role in bone growth and gastrointestinal nutrient absorption, but insulin resistance as well. Thus, the purpose of this review is to summarize the literature that associates vitamin D deficiencies with vascular complications in both human and animal models with T2DM. This review will also summarize developments in genetic testing for VDR mutations and their potential role in diabetes progression, as well as the effects of vitamin D supplementation in patients with T2DM. Since T2DM is an increasingly prevalent disease, it is important to continue evaluating current research that investigates not only genetic causal factors for the disease, but also preventative options (such as vitamin D supplementation) that could potentially be used alongside pharmacological treatments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".