Role of vitamin D in acquired immune and autoimmune diseases
Bibliographic record
Abstract
Vitamin D has been attributed roles in the pathogenesis and prevention of several diseases such as cancer, cardiovascular disease, multiple sclerosis, diabetes, autism and autoimmune diseases. The concomitant expression of the 25-hydroxyvitamin D3-1α-hydroxylase and of the vitamin D3 receptor in animal and human tissues and organs other than bone supports this paradigm. Translated into the clinical field, meta-analyses and systematic reviews have also revealed an association between vitamin D insufficiency or deficiency and non-osseous diseases. Although relying on the large databases, they are diverse in nature and involve participants of varying age and evolving in different environments. Furthermore, they do not allow any analysis of a possible causal relationship between vitamin D supplementation and clinical outcomes. Following a brief historical account, this review addresses these caveats, and gives examples of randomized controlled trials conducted in the fields of acquired immune and autoimmune diseases.
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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 | 0.012 | 0.102 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".