Effect of Multidomain Disease Presentations on Patients With Psoriatic Arthritis in the Corrona Psoriatic Arthritis/Spondyloarthritis Registry
Bibliographic record
Abstract
OBJECTIVE: To compare disease characteristics, quality of life (QOL), and work productivity of patients with psoriatic arthritis (PsA) who had multidomain vs single-domain presentations. METHODS: Adults with PsA enrolled in the Corrona PsA/Spondyloarthritis Registry (March 2013-August 2018) were included. Six PsA disease domains were evaluated: enthesitis, dactylitis, peripheral arthritis (PA), nail psoriasis, axial disease, and skin disease. Patients were classified as having multidomain (≥ 2 domains) or single-domain disease presentations; biologic initiators were characterized separately. Linear regression models evaluated the association of multidomain presentations with disease characteristics, QOL, and work productivity vs single-domain presentations. RESULTS: Of 2617 patients with PsA, 1698 (64.9%) had multidomain presentations, 617 (23.6%) had single-domain presentations, and 302 (11.5%) had no active disease features. Of 354 biologic initiators, 289 (81.6%) had multidomain presentations, 45 (12.7%) had single-domain presentations, and 20 (5.6%) had no active disease features. Overall, the most common single-domain and multidomain presentations, respectively, were skin disease (12.7%) and PA + skin disease (11.7%). Multidomain presenters were more likely to have fibromyalgia, depression, anxiety, and prior biologic use than single-domain presenters. Multidomain presentations were associated with significantly worse patient and physician global assessments of disease activity, pain, and fatigue; Health Assessment Questionnaire-Disability Index and EuroQol 5-dimension scores; and work productivity at enrollment. CONCLUSION: In this US real-world cohort, most patients had multidomain disease presentations, which was associated with worse disease activity, QOL, and work productivity measures. This study highlights the heterogeneity of PsA and the importance of assessing all PsA domains for optimizing disease management.
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 | 0.003 | 0.010 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".