Evidence map›Paper›PMID 40343406›Full record

ArticleThe Kaohsiung journal of medical sciences2025

Thromboelastography Maximum Amplitude Is a Valuable Biomarker for Early Atherosclerosis in Rheumatoid Arthritis Patients: A Single-Center Cross-Sectional Study.

Qing-Lin Zhang, Qian Xu, Rong Huang, Ming-Zhong Sun, Dong-Mei Jiang, Hui Tao, Hao Jin

Abstract read
In one paragraph

Article in The Kaohsiung journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qing-Lin ZhangDepartment of Blood Transfusion, Yancheng Third People's Hospital, the Affiliated Hospital of Jiangsu Vocational College of Medicine, Affiliated Hospital 6 of Nantong University, Yancheng, Jiangsu, China.
Qian XuDepartment of Blood Transfusion, Yancheng Third People's Hospital, the Affiliated Hospital of Jiangsu Vocational College of Medicine, Affiliated Hospital 6 of Nantong University, Yancheng, Jiangsu, China.
Rong HuangDepartment of Blood Transfusion, Yancheng Third People's Hospital, the Affiliated Hospital of Jiangsu Vocational College of Medicine, Affiliated Hospital 6 of Nantong University, Yancheng, Jiangsu, China.
Ming-Zhong SunDepartment of Clinical Laboratory, Yancheng Third People's Hospital, the Affiliated Hospital of Jiangsu Vocational College of Medicine, Affiliated Hospital 6 of Nantong University, Yancheng, Jiangsu, China.ORCID https://orcid.org/0000-0002-9657-5241
Dong-Mei JiangDepartment of Endocrinology, Yancheng Third People's Hospital, the Affiliated Hospital of Jiangsu Vocational College of Medicine, Affiliated Hospital 6 of Nantong University, Yancheng, Jiangsu, China.
Hui TaoDepartment of Blood Transfusion, Yancheng Third People's Hospital, the Affiliated Hospital of Jiangsu Vocational College of Medicine, Affiliated Hospital 6 of Nantong University, Yancheng, Jiangsu, China.
Hao JinDepartment of Blood Transfusion, Yancheng Third People's Hospital, the Affiliated Hospital of Jiangsu Vocational College of Medicine, Affiliated Hospital 6 of Nantong University, Yancheng, Jiangsu, China.ORCID https://orcid.org/0000-0001-8018-5903

Funding

College-local collaborative innovation research project of Jiangsu Vocational College of medicine 20219115Key Research and Development Program of Yancheng YCBE202205
6 · The paper itself

Abstract

Hypercoagulability contributes to atherosclerosis (AS) progression in individuals suffering from rheumatoid arthritis (RA), and thromboelastography (TEG) is a valuable diagnostic tool. This hospital-based cross-sectional study assessed the clinical efficacy of TEG parameters in detecting hypercoagulability and subclinical AS by purposively sampling 372 RA patients and 105 healthy controls. TEG indices, conventional coagulation markers, and biochemical profiles were assessed. Multivariable logistic modeling and receiver operating characteristic (ROC) analyses were utilized to identify independent risk factors for early AS in patients with RA. Our results indicated that patients with RA experienced a hypercoagulable state in comparison to controls, which was particularly pronounced in RA patients with early AS compared to their non-AS counterparts. Logistic regression analysis revealed that the TEG maximum amplitude (MA) is an independent risk factor for early AS in patients with RA, with an odds ratio of 1.219 and a 95% confidence interval of 1.128-1.317. Additional independent risk factors identified are fibrinogen (FIB), low-density lipoprotein cholesterol (LDL-C), and the adjusted atherogenic index of plasma (aAIP). ROC analysis revealed that MA achieved an area under the curve (AUC) of 0.711 (sensitivity: 71.5%; specificity: 63.5%) for early AS diagnosis. Combining with FIB, LDL-C, and aAIP significantly enhanced diagnostic performance, with an AUC of 0.831 (sensitivity: 77.6%; specificity: 75.3%). These findings highlight MA as a valuable biomarker for early detection of AS in patients with RA. Furthermore, integrating MA with FIB, LDL-C, and aAIP improves diagnostic accuracy, supporting its clinical role in risk stratification and early intervention.

Indexed as

Arthritis, RheumatoidAtherosclerosisThrombelastographyAdultAgedBiomarkersCase-Control StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsROC CurveBiomarkersatherosclerosismaximum amplituderheumatoid arthritisthromboelastography

Identifiers

PMID40343406
PMCPMC12412580

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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.