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Record W72087020

Relationships among vitamin D, disease activity, pain and disability in rheumatoid arthritis.

2010· article· en· W72087020 on OpenAlexaff
Uzma Haque, Susan J. Bartlett

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineRheumatoid arthritisVitamin D and neurologyvitamin D deficiencyInternal medicineRheumatologyArthritisVitaminOdds ratioDiseaseGastroenterologyPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.261
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations101
Published2010
Admission routes1
Has abstractyes

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