Evidence map›Paper›PMID 33514418›Full record

ArticleArthritis research & therapy2021

Cluster analysis of phenotypes of patients with Behçet's syndrome: a large cohort study from a referral center in China.

Jun Zou, Jian-Feng Luo, Yan Shen, Jian-Fei Cai, Jian-Long Guan

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
12.7field-weighted citation impact, top 1% of its field
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

43 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
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  3. Review
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  7. THBS1BMC medicine · 2025
    Article
  8. Identification of markers predicting clinical course in patients with Behcet disease by combination of machine learning and unbiased clustering analysis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Article
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  13. Observational
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  16. [Update on Behçet syndrome].Zeitschrift fur Rheumatologie · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jun ZouDivision of Rheumatology and Immunology, Shanghai Key Laboratory of Clinical Geriatric Medicine, Research Center on Aging and Medicine, Huadong Hospital, Fudan University, 200040, Shanghai, People's Republic of China.
Jian-Feng LuoDepartment of Biostatistics, School of Public Health, Fudan University, Shanghai, People's Republic of China.
Yan ShenDivision of Rheumatology and Immunology, Shanghai Key Laboratory of Clinical Geriatric Medicine, Research Center on Aging and Medicine, Huadong Hospital, Fudan University, 200040, Shanghai, People's Republic of China.
Jian-Fei CaiDivision of Rheumatology and Immunology, Shanghai Key Laboratory of Clinical Geriatric Medicine, Research Center on Aging and Medicine, Huadong Hospital, Fudan University, 200040, Shanghai, People's Republic of China.
Jian-Long GuanDivision of Rheumatology and Immunology, Shanghai Key Laboratory of Clinical Geriatric Medicine, Research Center on Aging and Medicine, Huadong Hospital, Fudan University, 200040, Shanghai, People's Republic of China. jianlong_guan@126.com.
Fudan University · CNHuadong Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBehcet's syndrome (BS) is a complex, heterogeneous disorder. However, classification of its subgroups is still debated. The purpose of this study was to investigate the clinical features and aggregation of patients with BS in China, based on manifestations and organ involvements.

methodsThis was a cross-sectional study of BS patients in Huadong Hospital of Fudan University between September 2012 and January 2020. We calculated relative risks (RRs) of clinical variables according to sex. Moreover, we conducted a hierarchical cluster analysis applied according to eighteen variables to determine subgroups of patients.

resultsA total of 860 BS patients were included. Male sex was associated with ocular involvement (RR 2.32, 95% CI 1.67, 3.22, P < 0.0001), vascular involvement (RR 2.00, 95% CI 1.23, 3.23, P = 0.004), cardiac lesion (RR 5.46, 95% CI 2.33, 12.77, P < 0.0001), and central nervous system involvement (RR 2.95, 95% CI 1.07, 6.78, P = 0.007) and was negatively associated with genital ulcers (RR 0.84, 95% CI 0.79, 0.91, P < 0.0001). Five clusters (C1-C5) were observed. C1 (n = 307) showed the skin and mucosa type. In C2 (n = 124), all had articular involvement, barely having major organ involvement except for 18 cases with intestinal lesions. In C3 (n = 156), the gastrointestinal type, 144 patients presented with intestinal involvement, and 36 patients with esophageal ulcers. In C4 (n = 142), all subjects presented with uveitis. C5 (n = 131) consisted of 44 patients with cardiac lesions, 58 with vascular involvement, and 26 cases having central nervous system involvement.

conclusionOur analysis confirmed sex differences in phenotypes of BS. Cluster analysis identified gastrointestinal, uveitis, and cardiovascular involvement cluster separately in different subsets, which represents the most commonly involved organs. Further research is required to replicate and clarify the patterns of phenotype in BS.

Indexed as

Behcet SyndromeChinaCluster AnalysisCohort StudiesCross-Sectional StudiesFemaleHumansMalePhenotypeReferral and ConsultationBehçet’s syndromeClinical manifestationCluster analysisMajor organ involvementPhenotypeSex

Identifiers

PMID33514418
PMCPMC7847001
OpenAlexW3111665062

What OpenQuestion holds

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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.