Serum cytokine levels in healthy Mongolian school‐age children randomized to either vitamin D or placebo.
Bibliographic record
Abstract
Objective to examine the effects of daily supplements of vitamin D on specific cytokine levels that play a role in the host inflammatory response Methods: Double‐blinded, placebo‐controlled feasibility pilot study among120 healthy Mongolian children in Ulaanbaatar to assigned either to 800IU of vitamin D daily or identical‐looking placebo. The follow‐up was 6 months. We measured levels of 21 different cytokines (IL‐1b, 2, 4, 5, 6, 7, 8, 10, 12p70, 13, 17a, 21, 23, GM‐CSF, IFN‐γ, TNF‐α, ITAC, Fractalkine, MIP1a, MIP1b, MIP3a) in the subsamples of serum of participants at baseline and the follow‐up visit. Results: The baseline 25(OH)D level was 7±4 ng/mL. The cytokine levels were not different between placebo group and vitamin D group at baseline. After 6 month of follow up the cytokine levels were not statistically significant except the levels of Granulocyte‐macrophage colony‐stimulating factor (GM‐CSF) between vitamin D and Placebo group post‐treatment (p=0.03). Conclusions Our preliminary data show that vitamin D repletion does not change background T cell parameters in Mongolian school age children although this conclusion is limited by its small sample size and perhaps kit sensitivity issue in measuring cytokine levels in children.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".