Evidence map›Paper›PMID 41774297›Full record

ArticleClinical rheumatology2026

Exploring clinical subtypes of Chinese patients with psoriatic arthritis based on cluster analysis: a national registry study (CREPAR V).

Yaqi Zhao, Hongbin Li, Xinwang Duan, Lijun Wu, Yongfu Wang, Xiao Liang, Lin Qiao, Nan Jiang, Can Huang, Xiaofeng Zeng and 1 more

Abstract read
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Article in Clinical rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yaqi Zhao *Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Hongbin Li *Department of Rheumatology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, China.
Xinwang Duan *Department of Rheumatology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
Lijun WuDepartment of Rheumatology, The People's Hospital of the Xinjiang Uygur Autonomous Region, Urumqi, 830001, Xinjiang, China.
Yongfu WangDepartment of Rheumatology, First Affiliated Hospital of Baotou Medical College, Baotou, 014010, Inner Mongolia, China.
Xiao LiangDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Lin QiaoDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Nan JiangDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Can HuangDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Xiaofeng ZengDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. zengxfpumc@163.com.
Xiaomei LengDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. lpumch@126.com.ORCID http://orcid.org/0000-0002-0215-9176

Funding

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (2021-I2M-1-005Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2022-I2M-1-004Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2023-I2M-2-005)Chinese National Key Technology R&D Program Ministry of ScienceChinese National Key Technology R&D Program Technology (2024YFC2510300)National High Level Hospital Clinical Research Funding 2022-PUMCH-B-013National High Level Hospital Clinical Research Funding 2025-PUMCH-D-001
6 · The paper itself

Abstract

objectiveThis study aimed to identify distinct clinical phenotypes within a Chinese cohort of patients with psoriatic arthritis (PsA).

methodsA total of 1074 patient data were analyzed from the Chinese Psoriatic Arthritis Registry (CREPAR). A two-step clustering approach was used to identify patient subtypes based on the unsupervised clustering of baseline clinical characteristics. Kaplan-Meier curves were used to compare long-term remission probabilities across subtypes, and Cox proportional hazards regression models were used to identify independent risk factors.

resultsThe cluster analysis identified three subtypes of patients with distinct clinical presentations, laboratory tests, and prognoses. Cluster 1 patients presented with the most extensive and intense polyarticular inflammation, accompanied by a 'concentrated-severe' pattern of dactylitis across multiple sites. Patients in Cluster 2 had the least peripheral joint involvement, with an extremely low incidence of dactylitis (0.8%). Cluster 3 is characterised by dactylitis in almost all patients (98.9%), presenting a extensive pattern with moderate frequency across sites, alongside common peripheral arthritis. A survival analysis revealed highly significant differences between subtypes in the probability curves for non-remission. Across all subtypes, the Cox regression identified the following independent risk factors: a later age at onset of arthritis, a longer duration of psoriasis, and high baseline DAPSA scores.

conclusionThe purpose of this study is to establish a clinical risk framework for Chinese PsA patients. Identification of high-risk patients based on specific joint/dactylitis patterns is crucial to guiding intensive treatment.

Indexed as

Arthritis, PsoriaticAdultChinaCluster AnalysisEast Asian PeopleFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPhenotypePrognosisProportional Hazards ModelsRegistriesRisk FactorsSeverity of Illness IndexChinese Psoriatic Arthritis Registry (CREPAR)Cluster analysisCox regression analysisPsoriatic arthritis

Identifiers

PMID41774297

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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.