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Record W6947730829 · doi:10.3899/jrheum.2025-0314.116

A Comparative Study of Difficult-To-Treat Vs Non-Difficult-To-Treat Psoriatic Arthritis for Disease Burden and Comorbidities: An Ultrasound Study

2025· article· en· W6947730829 on OpenAlexaffvenueabout

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEnvironmental Monitoring and Data Management
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsEnthesitisPsoriatic arthritisSynovitisRheumatoid arthritisEnthesisRheumatologyDactylitis

Abstract

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Objectives In the era of several advanced therapies and an increased number of patients with psoriatic arthritis (PsA) who have been failed by multiple treatment options, a better understanding of Difficult-to-Treat (D2T) PsA is essential and timely. In this analysis, we aimed to explore the D2T PsA patient phenotype, by comparing the clinical features, comorbidities, and ultrasonographic features of peripheral arthritis and enthesitis domains with non-DT2 PsA, to understand factors contributing to the D2T state. Methods Patients were recruited from the ORCHESTRA (Ottawa Rheumatology CompreHEnSive Treatment and Assessment) Clinic, where all patients with inflammatory arthritis who are about to initiate a new advanced therapy are assessed using a standardized protocol including disease features, medications, comorbidities, and clinical disease activity measures. A protocoled ultrasound (US) was performed including 44 joints for synovitis and 14 entheses for enthesitis. Synovitis was scored using the Global OMERACT-EULAR Synovitis Score (GLOESS). Elementary lesions of enthesitis included hypoechogenicity, thickening, and power Doppler signals (features of inflammation) and erosions, calcifications, and enthesophytes (features of damage), all being on a scale of 0-3 (none-mild-moderate-severe). Relevant features were summed to reach inflammation, damage, and total enthesitis scores per patient. For this analysis, D2T PsA definitions were extrapolated from the EULAR definition of D2T Rheumatoid Arthritis.[1] Patients who fulfilled the D2T PsA definition were compared with the patients who did not fulfill (non-D2T). Results Among 52 PsA patients, 16 (30.8%) fulfilled the definition of D2T PsA. Demographics were similar between the 2 groups, except the male sex being numerically higher in D2T PsA patients (n=10/16 (62.5%) vs n=13/36 (36.1%); p=0.077) and having longer disease duration (Table 1). Disease activities were similar between groups, both clinically and in the US, and CRP levels were even lower in D2T PsA patients (p=0.022). Gout and inflammatory bowel disease were statistically higher in D2T PsA patients than non-D2T group (Table 1). Table 1. Comparison of Difficult-to-Treat Psoriatic Arthritis with Non-Difficult-to-Treat Psoriatic Arthritis patients Conclusion There were no clinical and ultrasonographic differences in peripheral arthritis and enthesitis domains between patients with D2T and non-D2T PsA. In our patient population, comorbidities, gout, and inflammatory bowel disease seem to be associated with D2T state, but not necessarily a higher disease burden. [1.] Nagy G. Ann Rheum Dis. 2021;80:31-5.

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)0.003
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 score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.269
Teacher spread0.254 · 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".

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Citations0
Published2025
Admission routes3
Has abstractyes

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