Celiac disease arthropathy and autoimmunity study
Bibliographic record
Abstract
BACKGROUND AND AIM: To evaluate presence of sero-negative spondyloarthritis (SpA) in celiac disease (CD) patients, and whether compliance with a gluten free diet (GFD) improved arthritis manifestations in these patients. METHODS: We undertook a prospective, questionnaire based, cross-sectional cohort study to evaluate the presence or absence of SpA simultaneously in both CD and non-CD cohorts. RESULTS: 356/590 (60.3%) patients with CD participated in this study. 99% had diagnosis confirmed by a diagnostic test (79% small bowel biopsy, 19.8% blood test, 3.9% stool test). Approximately 131 (37%) cases of arthritis were reported in CD patients. Of the 6/356 CD patients with seronegative spondyloarthritides, four had sacroiliitis, two ankylosing spondylitis, and one psoriatic arthritis, compared to one ankylosing spondylitis and five psoriatic arthritis in non-CD. Osteoarthritis (89 vs 59, P = 0.93) was the most common diagnosis reported by respondents. More CD patients with diarrhea (94%) and anemia (81%) improved on GFD, compared to arthritis symptoms (30%). Autoimmune thyroiditis (10.6% vs 0.4%), insulin dependent diabetes mellitus (IDDM) (2.2% vs 1.7%), systemic Lupus erythematosus (SLE) (1.1% vs 0), and psoriasis (12.9% vs 5.5%) occurred more frequently in CD patients. The prevalence of Crohn's disease, ulcerative colitis, Sjogren's syndrome, primary biliary cirrhosis, and primary sclerosing cholangitis was around 1% each. Univariate Logistic regression analysis showed ≤ high school education (odds ratio [OR] 2.01, P < 0.003), age ≥ 60 years (OR 4.13, P < 0.001), and osteoporosis (OR 2.78, P < 0.001) to be significantly associated with report of arthritis in CD patients. CONCLUSION: We did not find a high rate of SpA in CD patients. In contrast, increased rates of autoimmune thyroiditis, SLE, IDDM, and psoriasis were seen in CD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".