Evidence map›Paper›PMID 40399864›Full record

ArticleBMC pulmonary medicine2025

A noval identification of 4 systemic sclerosis - interstitial lung disease subgroups using principal component analysis-based cluster analysis.

Yaqi Zhao, Baoting Chao, Wei Xu, Xinya Li, Jin Zhang, Ying Zhang, Zhenzhen Ma, Qingrui Yang

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2025. 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

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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. 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

8 authors.

Yaqi Zhao *Department of Rheumatology and Immunology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Baoting Chao *Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Wei XuDepartment of Rheumatology and Immunology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Xinya LiDepartment of Rheumatology and Immunology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Jin ZhangDepartment of Rheumatology and Immunology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Ying ZhangDepartment of Rheumatology and Immunology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Zhenzhen MaThe First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China. mazhenzhendz@163.com.
Qingrui YangDepartment of Rheumatology and Immunology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China. qryang720@163.com.

Funding

China Postdoctoral Science Foundation grant 2023M742170National Natural Science Foundation of China Youth fund project, Grant NO.82201994Natural Science Foundation of Shandong Province General Program, Grant NO. ZR2022MH016
6 · The paper itself

Abstract

objectiveInterstitial lung disease (ILD) is a common and serious complication of systemic sclerosis (SSc). It is usually classified by histologic type, but this classification may not fully reflect the clinical phenotypic variation. This study aimed to examine clinical features and aggregate patients with SSc-ILD based on patients' clinical manifestations, High-resolution computed tomography (HRCT) features and specific antibody expression to achieve precise treatment of SSc-ILD with early identification of complications.

methodsThis study included 103 patients with SSc-ILD. A cluster analysis was performed based on five clinical and serological variables to identify subgroups of patients. The survival rates between obtained clusters and risk factors affecting prognosis were also compared.

resultFour clusters were identified in this study: Cluster 1 (n = 23) represented the lymphocytic interstitial pneumonia (LIP) group with LIP as the predominant HRCT characteristic. Cluster 2 (n = 23) was the worst prognosis group, with the highest Warrick score as well as the highest mortality rate. Cluster 3 (n = 20) with all patients having a negative anti-SCL-70 antibody response. Cluster 4 (n = 28) with all patients were positive for the anti-SCL-70 antibody. It was found that albumin was a protective factor for the prognosis of patients with SSC-ILD patients (p = 0.018), whereas age (p = 0.036) and IgM (p = 0.040) were risk factors.

conclusionThe results of our cluster analysis indicated that based solely on histologic typing, may not be capturing the full heterogeneity of SSc-ILD patients. In order to identify homogeneous patient groups with a specific prognosis, HRCT features and antibody profiles should be taken into consideration.

Indexed as

Lung Diseases, InterstitialScleroderma, SystemicAdultAgedAutoantibodiesCluster AnalysisDNA Topoisomerases, Type IFemaleHumansMaleMiddle AgedNuclear ProteinsPrincipal Component AnalysisPrognosisRisk FactorsSurvival RateAutoantibodiesDNA Topoisomerases, Type INuclear ProteinsScl 70 antigen, humanCluster analysisHRCTInterstitial lung diseaseSystemic sclerosisWarrick score

Identifiers

PMID40399864
PMCPMC12096685

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