Prevalence of Thyroid Autoimmunity in Patients with Spondyloarthropathies
Bibliographic record
Abstract
OBJECTIVE: To evaluate the prevalence of chronic autoimmune thyroiditis or Hashimoto's thyroiditis (HT) in a group of patients with spondyloarthritis (SpA). METHODS: We evaluated serum levels of thyroid-stimulating hormone, free triiodothyronine, and free thyroxine, and titers of antithyroglobulin and antithyroid peroxidase (anti-TPO) antibodies in 357 consecutive patients with SpA. We also recruited 318 healthy age-matched controls. Ultrasonography of the thyroid gland was performed in all subjects and rheumatic activity was evaluated. RESULTS: Indices of thyroid autoimmunity were significantly more frequent in patients with SpA than in controls (24.09% vs 10.69%, respectively; p < 0.05). In the SpA group, a higher prevalence of HT was found in patients with an active disease than in those with low-moderate disease levels. Also in the SpA group, patients with a disease duration > 2 years had a higher prevalence of HT and anti-TPO antibodies positivity than patients with a disease duration ≤ 2 years. Ultrasonography detected a significantly higher frequency of thyroid nodules and hypoechoic pattern in patients with SpA than in controls. Among patients with SpA, HT and anti-TPO antibodies positivity were significantly more frequent in patients with peripheral involvement (68.6%) than in patients with axial involvement (31.4%; p < 0.05). CONCLUSION: Our study shows a significantly higher prevalence of thyroid autoimmunity in patients with SpA as compared to controls. Thyroiditis occurs more frequently in patients with longer disease duration and active rheumatic disease. We suggest that thyroid function tests be part of the clinical evaluation in patients with SpA.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 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".