Evidence map›Paper›PMID 36533334›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2022

[A cross-sectional study on the clinical phenotypes of rheumatoid arthritis].

W X Cai, S C Li, Y M Liu, R Y Liang, J Li, J P Guo, F L Hu, X L Sun, C Li, X Liu and 4 more

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

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

14 authors at 2 institutions in 1 country.

W X CaiDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
S C LiDepartment of Oncology, the Second Affiliated Hospital of Soochow University, Suzhou 215123, Jiangsu, China.
Y M LiuDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
R Y LiangDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
J LiDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
J P GuoDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
F L HuDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
X L SunDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
C LiDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
X LiuDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
H YeDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
L Z DengInstitute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou Institute of Systems Medicine, Suzhou 215123, Jiangsu, China.
R LiDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
Z G LiDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
Peking University · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the characteristics and clinical phenotypes of rheumatoid arthritis (RA) and provide the basis for further understanding, interventions and outcomes of this disease.

methodsRA patients attended at Peking University People's Hospital from 2018 to 2021 were enrolled in the study. Data collection included demographic data, the sites and numbers of joints involved, extra-articular manifestations (EAM), comorbidities and laboratory variables. Statistical and bioinformatical analysis was performed to establish clinical subtypes by clustering analysis based on the type of joint involved, EAM involvement and other autoimmune diseases overlapped. The characteristics of each subtype were analyzed.

resultsA total of 411 patients with RA were enrolled. The mean age was (48.84±15.17) years, and 346 (84.2%) were females. The patients were classified into 4 subtypes: small joint subtype (74, 18.0%), total joint subtype (154, 37.5%), systemic subtype (100, 24.3%), and overlapping subtype (83, 20.2%). The small joint subtype had no medium or large joint involvement, and 35.1% had systemic involvement. The erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) levels and platelet count (PLT) were lower than those in other subtypes, and the rates of positive rheumatoid factors (RF-IgA and RF-IgG) were significantly higher in the small joint subtype. The total joint subtype had both large and small joint involvement but no systemic involvement. The rate of morning stiffness and positive antinuclear antibodies (ANA) in this subtype were lower than those in other subtypes. In the systemic subtype, interstitial lung disease and secondary Sjögren syndrome were the most common systemic involvements, with prominent levels of disease activity score 28-joint count (DAS28-ESR and DAS28-CRP). The overlapping subtype was commonly combined with Hashimoto's thyroiditis or primary Sjögren syndrome. Female in the overlapping subtype was more common than in other subtypes. This subtype was characterized by hyperglobulinemia, hypocomplementemia and high rate of positive ANA, especially spotting type.

conclusionBased on the clinical features, RA patients could be classified into 4 subtypes: small joint subtype, total joint subtype, systemic subtype, and overlapping subtype. Each subtype had its own clinical characteristics. They help for further understanding and a more individualized treatment strategy of RA.

Indexed as

Arthritis, RheumatoidSjogren's SyndromeBlood SedimentationCross-Sectional StudiesFemaleHumansMalePhenotypeRheumatoid FactorRheumatoid FactorClinical phenotypesClustering analysisRheumatoid arthritis

Identifiers

PMID36533334
PMCPMC9761816
OpenAlexW4312066699

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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.