Women With Psoriatic Arthritis Experience Higher Disease Burden Than Men: Findings From a Real-World Survey in the United States and Europe
Bibliographic record
Abstract
Objective Although psoriatic arthritis (PsA) is equally present in men and women, sex may influence clinical manifestations and the impact of disease on patients’ lives. This study assessed differences in clinical characteristics, disability, quality of life (QOL), and work productivity by sex in real-world practice. Methods A cross-sectional survey of rheumatologists/dermatologists and their patients with PsA was conducted in France, Germany, Italy, Spain, the United Kingdom, and the United States between June and August 2018. Data collected included demographics, treatment use, clinical characteristics (tender joint count, swollen joint count, body surface area affected by psoriasis), QOL (EuroQoL 5-Dimension questionnaire [EQ-5D], Psoriatic Arthritis Impact of Disease [PsAID12]), disability (Health Assessment Questionnaire–Disability Index [HAQ-DI]), and work productivity (Work Productivity and Impairment Index [WPAI]). Outcomes were compared between men and women using parametric and nonparametric tests, as appropriate. Results Of 2270 patients (mean age 48.6 [SD 13.3] yrs, mean disease duration 4.9 [SD 6.0] yrs), 1047 (46.1%) were women. Disease duration, disease presentation, and biologic use (mean 54.2%) were comparable between women and men. Women reported worse QOL (EQ-5D: 0.80 [SD 0.2] vs 0.82 [SD 0.2];P= 0.02), greater disability (HAQ-DI: 0.56 [SD 0.6] vs 0.41 [SD 0.5];P< 0.01) and work activity impairment (WPAI: 27.9% [SD 22.0] vs 24.6% [SD 22.4];P< 0.01) than men. However, women had a lower burden of comorbidities (Charlson Comorbidity Index: 1.10 [SD 0.5] vs 1.15 [SD 0.6];P< 0.01). Conclusion In patients with similar PsA disease activity and treatment, women experienced greater disease impact than men. This represents a significant consideration for the therapeutic management of PsA.
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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 | 0.000 |
| 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".