Association Between Vitamin D Deficiency and Disease Activity, Disability, and Radiographic Progression in Early Rheumatoid Arthritis: The ESPOIR Cohort
Bibliographic record
Abstract
Objective. To evaluate the association of baseline serum level of vitamin D with disease activity, disability, and radiographic damage over the first year in early rheumatoid arthritis (RA). Methods. Among early arthritis patients included in the ESPOIR cohort, patients with early RA were evaluated. Levels of 25-hydroxy vitamin D2 and D3 were measured at baseline. Baseline associations between vitamin D level and 28-joint count Disease Activity Score based on erythrocyte sedimentation rate (DAS28-ESR), Health Assessment Questionnaire–Disability Index (HAQ-DI), and van der Heijde modified total Sharp score (mTSS) were assessed. Bivariate analysis was used to assess the association between vitamin D level and radiographic progression (mTSS increased by ≥ 1 point) or disability (HAQ-DI ≥ 0.5) over 12 months. Forward stepwise multiple logistic regression was used to evaluate the independent association of baseline variables and outcomes. Results. Among 813 patients with early arthritis, data for 645 patients with RA were analyzed. Vitamin D level was < 10 ng/mL (deficiency, group 1), 10–29.9 ng/mL (low level, group 2), and ≥ 30 ng/mL (normal, group 3) for 114 (17.7%), 415 (64.54%), and 114 (17.7%) patients, respectively. At baseline, DAS28-ESR and HAQ-DI were higher with vitamin D deficiency compared with groups 2 and 3 combined (P = 0.007 and P = 0.001, respectively), as was mean mTSS, but not significantly (p = 0.076). On multivariate analysis, baseline vitamin D deficiency was associated with HAQ-DI at 6 months (OR 1.70) and mTSS at 12 months (OR 1.76). Conclusion. Vitamin D deficiency was associated with more active and severe disease at baseline and may predict disability and radiographic progression over 1 year in early RA patients. [ ClinicalTrials.gov : NCT03666091 ]
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".