Effect of vitamin D treatment in ANCA-associated vasculitis: results from an exploratory perspective, pragmatic, non-randomised study
Bibliographic record
Abstract
OBJECTIVES: Vitamin D deficiency has been linked with several autoimmune diseases. Data are limited in anti-neutrophil cytoplasm autoantibody (ANCA)-associated vasculitis (AAV), and it is unknown whether vitamin D could have a therapeutic role in AAV. METHODS: The prospective, pragmatic, non-randomised exploratory PRAVDA study with ITT and pre-protocol analyses aimed to enrol >100 patients with AAV at the Vasculitis Clinic (Toronto, Canada) from January to July 2021. 25-hydroxyvitamin D [25(OH)D] was measured at baseline by ELISA. Patients with low 25(OH)D (<75 nmol/L at baseline) were asked to increase vitamin D supplementation by 1000 IU/day (to a maximum 2000 IU/day). 25(OH)D was measured again at month 12. The primary endpoint was 12-month disease relapse. Secondary analyses included correlations between vitamin D status and disease-specific clinical features. RESULTS: The study included 101 patients, 41 (40.6%) of whom had low baseline vitamin D levels and were asked to increase vitamin D3 intake. Of these patients, 32 had vitamin D level reassessed at month 12; 62.5% (20/32) had achieved normal levels. Relapse rates at month 12 were similar between patients with low (n=3/41; 7.3%) and normal (n=6/60; 10%; p=0.64) baseline vitamin D levels. However, no relapses were observed in patients who corrected baseline vitamin D deficiency. CONCLUSIONS: These findings can help designing larger studies on vitamin D supplementation in AAV patients, focusing mostly on those vitamin D deficient at baseline.
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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 | 0.013 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".