The relationship between vitamin D status and markers of diabetes risk in individuals at risk for developing diabetes: preliminary data from the Evidence trial (1041.10)
Bibliographic record
Abstract
Data from epidemiological studies show an inverse association between low levels of serum 25‐hydroxyvitamin D 3 (25(OH)D 3 ) and markers of diabetes risk including high blood glucose levels. The EVIDENCE trial is a randomized, double‐blind clinical trial which aims to examine the effect of vitamin D 3 fortified cheese versus placebo on fasting and serum glucose 2h after consuming 75g of glucose (OGTT), insulin, glycated haemoglobin (HbA1c) and markers of inflammation in subjects with low serum 25(OH)D 3 (蠄65nmol/ L) and who are at an increased risk for developing type 2 diabetes (T2D) . Twenty‐one subjects (11M, 10F) with a mean age of 52 ± 12y enrolled in the EVIDENCE trial visited the laboratory after a 12hr overnight fast. Fasting blood samples were drawn from subjects and assayed for 25(OH)D 3 , glucose, HbA1c, triglycerides, total, LDL and HDL cholesterol. In this sample of participants enrolled in the EVIDENCE trial we observed a significant inverse association between 25(OH)D 3 and triglycerides (r= ‐0.5413, p= 0.011) and waist circumference (r= ‐0.4427, p= 0.045). We also observed an moderate inverse association between serum 25(OH)D 3 and HbA1c (r= ‐0.270), however it was not statistically significant. No significant associations were observed between 25(OH)D 3 and glucose, total, LDL and HDL cholesterol which may be due to the small sample size. These preliminary data suggests that vitamin D status is inversely related to factors which increase an individual’s risk for developing diabetes.The results from the EVIDENCE trial will assist us in obtaining a better understanding of the potential role of vitamin D in modulating some of the risk factors associated with T2D. Grant Funding Source : Supported by Dairy Farmers of Canada
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".