Male Sex Predicts a Favorable Outcome in Early ACPA-Negative Rheumatoid Arthritis: Data From an Observational Study
Bibliographic record
Abstract
OBJECTIVE: The aim of the present study was to investigate whether the relationship between sex and clinical outcomes in early rheumatoid arthritis (RA) varies by autoantibody status. METHODS: Two inception cohorts of consecutive patients with early RA (ie, symptom duration ≤ 12 months) in the southern region of Sweden were investigated. Patients were stratified by anticitrullinated peptide antibody (ACPA) status. The primary outcome was remission (Disease Activity Score in 28 joints [DAS28] < 2.6) at 12 months. Secondary outcomes were remission at 6 months and European Alliance of Associations for Rheumatology good response at 6 and 12 months compared to baseline. In logistic regression models, which were adjusted for age, DAS28 values, and Health Assessment Questionnaire values at baseline, the relationship between sex and clinical outcomes, stratified by ACPA status, was investigated. RESULTS: In total, 426 patients with early RA were included: 160 patients were ACPA negative and 266 patients were ACPA positive. At 12 months, 27.1% (38/140) of females and 24.1% (13/54) of males with ACPA-positive RA achieved DAS28 remission. In ACPA-negative RA, 16.0% (13/81) of females and 48.6% (18/37) of males achieved DAS28 remission at 12 months. Males had higher odds of reaching remission at 12 months in the ACPA-negative patient group (pooled adjusted odds ratio [OR] 4.79, 95% CI 1.97-11.6), but not in the ACPA-positive group (pooled adjusted OR 1.06, 95% CI 0.49-2.30). CONCLUSION: Male sex was associated with better clinical outcomes in ACPA-negative early RA, but not in ACPA-positive early RA. The poor outcomes in females with early seronegative RA suggest that this represents a difficult-to-treat patient group.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".