Relationships among vitamin D, disease activity, pain and disability in rheumatoid arthritis.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Vitamin D is a steroid hormone with important skeletal and non-skeletal biologic functions. Vitamin D deficiency is common and manifests with musculoskeletal symptoms. In rheumatoid arthritis (RA), vitamin D deficiency may be associated with increased disease activity and disability. We aimed to estimate the relationship between Vitamin D level and disease activity, pain, and disability in RA. METHODS: Data were drawn from 62 RA patients seen in an academic arthritis clinic. 25(OH)D levels were evaluated along with markers of RA disease activity, physician and patient global assessments, pain (VAS) and HAQ. DAS-28 was calculated. Vitamin D deficiency was defined as 25(OH)D levels<30ng/ml. RESULTS: Sixty-one percent of RA patients were classified as vitamin D deficient. In patients with active RA (DAS 28 score≥2.6), 25(OH)D was moderately and inversely associated with DAS 28 (-0.38), pain (-0.49) and HAQ (-0.54) (p<0.01). However, no significant associations were found between 25(OH)D and these variables in patients in remission (DAS 28<2.6). Vitamin D deficient patients with active RA had six times the odds (OR=6.0, 95% CI 1.2-31.2) of being moderately or severely disabled (HAQ≥1.25). CONCLUSIONS: Vitamin D deficiency was common in this RA group. In patients with moderate to high disease activity, vitamin D deficiency was associated with higher DAS scores, pain and disability. Clinicians in northern climates may wish to monitor vitamin D status in their RA patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".