Evidence map›Paper›PMID 39919898›Full record

ArticleAnnals of the rheumatic diseases2025

Psoriatic arthritis phenotype clusters and their association with treatment response: a real-world longitudinal cohort study from the psoriatic arthritis research consortium.

Paras Karmacharya, Leslie J Crofford, Daniel W Byrne, Alisa Stephens-Shields, M Elaine Husni, Jose U Scher, Ethan Craig, Robert Fitzsimmons, Soumya M Reddy, Marina N Magrey and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of the rheumatic diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Paras KarmacharyaDepartment of Medicine, Division of Rheumatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA. Electronic address: paraskarmacharya@gmail.com.
Leslie J CroffordDepartment of Medicine, Division of Rheumatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Daniel W ByrneByrne Research, Maryland, Maryland, USA.
Alisa Stephens-ShieldsBiostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
M Elaine HusniCleveland Clinic, Cleveland, Ohio, USA.
Jose U ScherNew York University School of Medicine, New York, New York, USA.
Ethan CraigDepartment of Medicine and Rheumatology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Robert FitzsimmonsDepartment of Dermatology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Soumya M ReddyNew York University School of Medicine, New York, New York, USA.
Marina N MagreyUniversity Hospitals, Case Western Reserve University, Cleveland, Ohio, USA.
Jessica A WalshRheumatology, University of Utah, Salt Lake City, Utah, USA.
Alexis OgdieDepartment of Medicine and Rheumatology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Refining Outcome Measurement in Psoriatic Arthritis: Preparation for Pragmatic TrialsR01AR072363 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI OGDIE, ALEXIS R. · 2017 to 2019
$709k
Association of Phenotypes and Genotype with Treatment Response in Psoriatic ArthritisK23AR082990 · NIAMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paras Karmacharya · 2023 to 2026
$654k
NCATS NIH HHS UM1 TR004409NIAMS NIH HHS K23 AR082990NIAMS NIH HHS R01 AR072363
6 · The paper itself

Abstract

objectivesTo identify phenotype clusters and their trajectories in psoriatic arthritis (PsA) and examine the association of the clusters with treatment response in a real-world setting.

methodsIn the multicentre PsA Research Consortium (PARC) study, we applied factor analysis of mixed data to reduce dimensionality and collinearity, followed by hierarchical clustering on principal components. We then evaluated the transition of PsA clusters and their response to new immunomodulatory therapy and tumour necrosis factor inhibitor (TNFi).

resultsAmong 627 patients with PsA, three clusters were identified: mild PsA and psoriasis only (PsO) (Cluster 1, 47.4%), severe PsA and mild PsO (Cluster 2, 34.3%) and severe PsA and severe PsO (Cluster 3, 18.3%). Among 339 patients starting or changing, significant differences in response were observed (mean follow-up of 0.7 years, SD 0.8), with Cluster 3 showing the largest improvements in cDAPSA and PsAID. No differences were found among those starting TNFi (n=218). cDAPSA remission and PsAID patient acceptable symptom state were achieved in 10% and 54%, respectively. Clusters remained stable over time despite treatment changes, though some transitions occurred, notably from Cluster 3 to milder clusters.

conclusionData-driven clusters with distinct therapy responses identified in this real-world study highlight the extensive heterogeneity in PsA and the central role of psoriasis and musculoskeletal severity in treatment outcomes. Concurrently, these findings underscore the need for better outcome measures, particularly for individuals with lower disease activity.

Indexed as

Antirheumatic AgentsArthritis, PsoriaticTumor Necrosis Factor InhibitorsAdultAgedCluster AnalysisFemaleHumansLongitudinal StudiesMaleMiddle AgedPhenotypeSeverity of Illness IndexTreatment OutcomeAntirheumatic AgentsTumor Necrosis Factor Inhibitorsdisease activitmachine learningpsoriatic arthritistreatment

Identifiers

PMID39919898
PMCPMC11822222

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.