Hypothyroidism as a Risk Factor for Development of Cardiovascular Disease in Patients with Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: To determine the frequency of hypothyroidism in patients with rheumatoid arthritis (RA), and to elucidate the association of hypothyroidism and development of cardiovascular disease (CVD) in these patients. METHODS: A retrospective medical record review was performed using all incident cases of adult-onset RA from Olmsted County, MN, USA, that fulfilled criteria for RA in the years 1988-2007. Patients with and without thyroid disease were followed longitudinally for the development of CVD. RESULTS: A cohort of 650 patients with RA and an age and sex-matched comparison cohort of 650 patients without RA was assembled (both cohorts mean age 55.8 yrs; 69% were women). There was no significant difference between cohorts in the presence of hypothyroid disease or subclinical hypothyroidism at time of RA diagnosis. No significant difference was found in the cumulative incidence of hypothyroid disease between the 2 cohorts. Hypothyroid disease was found to be significantly associated with CVD in patients with RA (hazard ratio 2.0; 95% CI 1.1, 3.6). This difference remained significant and unchanged after adjustment for traditional CV risk factors (HR 2.0; 95% CI 1.1, 3.6). CONCLUSION: No significant difference was found in either incidence or prevalence of hypothyroidism between patients with and those without RA. Hypothyroid disease was significantly associated with CVD in patients with RA, even after adjustment for other traditional CV risk factors.
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 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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".