Impact of Enthesitis on Psoriatic Arthritis Patient-Reported Outcomes and Physician Satisfaction with Treatment: Data from a Multinational Patient and Physician Survey
Bibliographic record
Abstract
INTRODUCTION: Enthesitis is a core outcome domain assessed in psoriatic arthritis (PsA) clinical trials. Limited evidence describes the impact of enthesitis on patient-reported outcomes (PROs) and physician satisfaction with current treatment options. The objective of this analysis is to characterize the impact of enthesitis on PROs and physician satisfaction with currently available treatment in clinical practice settings. METHODS: Cross-sectional survey of rheumatologists, dermatologists, and their consulting patients with PsA in Australia, Canada, European Union (EU5), and the USA conducted in 2018. Physicians assessed current presence and severity of enthesitis, overall disease severity, other symptoms experienced, and their satisfaction with the current treatment. PsA participant self-reported data included current pain level, EQ5D, Psoriatic Arthritis Impact of Disease (PsAID12), Health Assessment Questionnaire Disability Index (HAQ-DI), and Work Productivity and Activity Impairment Index (WPAI-SHP). Bivariate descriptive analyses were conducted to describe features and outcomes in participants with and without enthesitis. RESULTS: Rheumatologists (454) and dermatologists (238) provided information for 3157 participants with PsA. Mean participant age was 49.2 years, and 45.9% were female. Enthesitis was present currently in 6.5% (205) of participants with PsA. Those with enthesitis had worse overall disease severity compared to those without enthesitis (12.2% vs 2.2% severe) and had more extraarticular manifestations, including nail psoriasis, dactylitis, and sacroiliitis. Enthesitis was associated with more pain, worse quality of life (QoL), increased disability, and a negative impact on work. Participants with enthesitis had higher NSAIDs and opioid pain medication use but similar biologic use. Physicians were significantly less satisfied with current PsA treatment in participants with enthesitis versus without enthesitis. CONCLUSIONS: Participants with psoriatic arthritis with enthesitis experienced significantly higher disease burden than those without enthesitis but were not more likely to receive advanced therapies. Physicians were significantly more dissatisfied with treatment in patients with enthesitis than in those without it.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".