Improvement of Thyroid Function in Hypothyroid Patients with Rheumatoid Arthritis After 6 Months of Adalimumab Treatment: A Pilot Study
Bibliographic record
Abstract
OBJECTIVE: Rheumatoid arthritis (RA) is characterized by high levels of cytokines such as tumor necrosis factor (TNF). TNF appears to have an etiologic role in thyroid dysfunction, and thyroid dysfunction is a common comorbidity in RA. Anti-TNF treatment might limit thyroid dysfunction. Thus, changes in thyroid hormones were studied during TNF-blocking therapy in patients with RA. METHODS: At baseline and after 6 months' treatment with adalimumab, thyroid function [thyroid-stimulating hormone (TSH), free thyroxine (fT4), and antibodies against thyroid peroxidase (TPOabs)] were assessed in 138 consecutive adalimumab-treated patients with RA who were naive for TNF-blocking agents. Patients were categorized as hypothyroid, hyperthyroid, or euthyroid. In these groups, changes in thyroid function were determined. RESULTS: Prevalences of hypothyroidism, hyperthyroidism, and TPOabs were 13%, 5%, and 15%, respectively. After 6 months, TPOabs decreased from 267 to 201 IU/ml (p = 0.048). In hypothyroid patients without concomitant L-thyroxine, a trend for declining levels of TSH was observed. Subgroup analysis revealed that in patients who were hypothyroid and TPOabs-positive and L-thyroxine-naive, TSH levels decreased significantly, from 12.5 (interquartile range 6.7-18.4) to 7.1 (interquartile range 4.9-13.8) mU/l (p = 0.043). CONCLUSION: Anti-TNF treatment improves thyroid function in hypothyroid patients with RA (especially in those who are L-thyroxine-naive and TPOabs-positive), providing further evidence that inflammatory cytokines such as TNF have a pathogenic role in thyroid dysfunction.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".