Effect of Age at Menopause on Disease Presentation in Early Rheumatoid Arthritis: Results From the Canadian Early Arthritis Cohort
Bibliographic record
Abstract
OBJECTIVE: Studies suggest that hormonal states affect disease characteristics in women with rheumatoid arthritis (RA). This study investigated how age at menopause affects disease in women presenting with early RA. METHODS: This was a cross-sectional study of postmenopausal women with early RA under age 65 years at time of enrollment in the Canadian Early Arthritis Cohort. RA-related disease characteristics in women who had early age at menopause (EM; age at menopause <45 years) were compared to those who had usual age at menopause (age at menopause ≥45 years). The t-test was applied to continuous variables and the chi-square test to categorical variables. Multivariate logistic regression analysis was used to adjust for age at menopause, smoking, and use of exogenous hormones. RESULTS: A total of 534 women were included; 93 were in the EM group. The age at RA onset was similar between groups. The EM group had higher mean patient global and pain scores and was more likely to be rheumatoid factor (RF) positive and meet the 1987 American College of Rheumatology criteria for RA. Using multivariate logistic regression, the EM group was more likely to be RF positive (odds ratio 2.2 [95% confidence interval 1.3-3.8], P = 0.005). Symptom duration, joint counts, Disease Activity Score in 28 joints, Health Assessment Questionnaire scores, and inflammatory markers did not differ between groups. CONCLUSION: These data suggest that early age at menopause, compared to usual age at menopause, is associated with seropositivity in women with early RA.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".