Comparison of Men and Women With Axial Spondyloarthritis in the US-based Corrona Psoriatic Arthritis/Spondyloarthritis Registry
Bibliographic record
Abstract
Objective To compare patient characteristics and disease burden between men and women with axial spondyloarthritis (axSpA) in the US-based Corrona Psoriatic Arthritis/Spondyloarthritis (PsA/SpA) Registry. Methods Patients aged ≥ 18 years with axSpA enrolled in the Corrona PsA/SpA Registry between March 2013 and November 2018 who were not concurrently diagnosed with PsA were included. Patient demographics, clinical characteristics, disease activity, patient-reported symptoms, work productivity, and treatment history at enrollment were compared between men and women, using t tests or Wilcoxon rank-sum tests for continuous variables and chi-square or Fisher exact tests for categorical variables. Results Of 498 patients with axSpA and available sex information, 307 (61.6%) were men and 191 (38.4%) were women. Compared with men, women had higher disease activity as measured by Bath Ankylosing Spondylitis Disease Activity Index, Bath Ankylosing Spondylitis Functional Index, and physician global assessment, and had higher tender/swollen joint counts and enthesitis scores (all P ≤ 0.01). Women also had worse patient-reported symptoms (pain, fatigue, Health Assessment Questionnaire for the Spondyloarthropathies, and EuroQol visual analogue scale; all P < 0.05), had greater work and activity impairment, and were less likely to work full time than men. Prior conventional synthetic disease-modifying antirheumatic drug and prednisone use was more common in women than in men (both P < 0.05). Additionally, women were more likely to have diagnoses of depression and fibromyalgia (both P < 0.01). Conclusion In this US registry of patients with axSpA, women had higher overall disease burden and more peripheral manifestations than men. Improved awareness of sex differences in the presentation of axSpA may aid physicians in earlier identification and improved disease management.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".