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Record W4411846576 · doi:10.3899/jrheum.2025-0314.144

Difficult-To-Treat Psoriatic Arthritis Is Uncommon in a Real-World Registry

2025· article· en· W4411846576 on OpenAlexaffvenueabout
Stephanie Keeling, Walter P. Maksymowych

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsUniversity of Alberta HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicineRefractory (planetary science)Psoriatic arthritisInternal medicineCohortRheumatoid arthritisApremilastDiseasePhysical therapySurgery

Abstract

fetched live from OpenAlex

Objectives The increasing availability of advanced therapies for psoriatic arthritis (PsA) offers more opportunities for patients to achieve low disease activity or remission. This real-world analysis examines a cohort of PsA patients in Alberta, Canada, to assess the use of biologic/targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) over 2 decades and identifies the proportion of patients with b/tsDMARD-refractory disease. Methods The RAPPORT (Rheumatoid Arthritis Pharmacovigilance Program and Outcomes Research in Therapeutics) cohort, based in Northern Alberta, Canada, includes PsA patients from 2003 to 2024. Participants undergo baseline and follow-up assessments every 3-12 months for disease activity, patient-reported outcomes (eg, Health Assessment Questionnaire), and comorbidities, particularly after initiating b/tsDMARDs following failure of conventional synthetic DMARDs. This analysis included 546 PsA patients with at least 1 year of follow-up. Refractory b/tsDMARD disease was defined as the failure of 3 or more classes of b/tsDMARDs, following the criteria used for treatment-refractory rheumatoid arthritis.[1] Baseline demographic and disease-related characteristics of refractory and non-refractory patients were compared. Results Of the 546 PsA patients, 517 (95%) were non-refractory, while 29 (5%) met the criteria for b/tsDMARD-refractory disease. Sixty percent of the cohort initiated advanced therapies from 2011 onwards, including 72% of refractory patients and 60% of non-refractory patients. The majority were treated with TNF inhibitors, with 85% of non-refractory and 76% of refractory patients using this class of drugs. Apremilast was used by 16 non-refractory and 2 refractory patients, with no other advanced therapies reported. Refractory patients were more likely than non-refractory patients to be female (72% vs 57%), current smokers (21% vs 17%), and had a shorter disease duration (6.8 vs 7.7 years). Time to switch between b/tsDMARDs was shorter in the refractory group (1.37 vs 5.23 years), with more frequent cycling through b/tsDMARDs compared to non-refractory patients (Table 1). Table 1. Characteristics of Non-refractory vs Refractory PsA Patients Conclusion Refractory PsA patients cycled through TNF inhibitors more rapidly than non-refractory patients. Further real-world data are needed to assess the impact of patient and disease characteristics on drug survival and to optimize treatment algorithms with the introduction of newer therapies such as JAK and IL-17 and 23 inhibitors. [1.] Kearsley-Fleet L. Ann Rheum Dis 2018;77(10):1405-12.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.651

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.012
GPT teacher head0.303
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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