The Effect of Vitamin D Supplementation on Inflammatory and Hemostatic Markers and Disease Activity in Patients with Systemic Lupus Erythematosus: A Randomized Placebo-controlled Trial
Post-publication record
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Bibliographic record
Abstract
OBJECTIVE: Systemic lupus erythematosus (SLE) is a chronic multisystem inflammatory autoimmune disease. Vitamin D has potent immunomodulatory properties that support its use in the treatment of autoimmune conditions, including SLE. We assessed vitamin D status in patients with SLE and determined alterations in inflammatory and hemostatic markers and disease activity before and after vitamin D supplementation. METHODS: Patients with SLE (n = 267) were randomized 2:1 to receive either oral cholecalciferol 2000 IU/day or placebo for 12 months. Outcome measures included assessment of alterations in levels of proinflammatory cytokines and hemostatic markers, and improvement in disease activity before and after 12 months of supplementation. Disease activity was measured by the SLE Disease Activity Index. Vitamin D levels were measured by Liaison immunoassay (normal 30-100 ng/ml). Serum levels between 10 and 30 ng/ml were classified as vitamin D insufficiency and levels < 10 ng/ml as vitamin D deficiency. RESULTS: The mean 25(OH)D level at baseline was 19.8 ng/ml in patients compared to 28.7 ng/ml in controls. The overall prevalence of suboptimal and deficient 25(OH)D serum levels among patients with SLE at baseline was 69% and 39%, respectively. Lower 25(OH)D levels correlated significantly with higher SLE disease activity. At 12 months of therapy, there was a significant improvement in levels of inflammatory and hemostatic markers as well as disease activity in the treatment group compared to the placebo group. CONCLUSION: Vitamin D supplementation in patients with SLE is recommended because increased vitamin D levels seem to ameliorate inflammatory and hemostatic markers and show a tendency toward subsequent clinical improvement. Clinical Trial Registry NCT01425775.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".