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类风湿关节炎中的高凝状态:一项文献计量分析与回顾性数据挖掘研究

Hypercoagulability in Rheumatoid Arthritis: A Bibliometric Analysis and Retrospective Data Mining Study.

作者信息

Wang Fanfan, Liu Jian, Fang Yanyan, Wen Jianting, He Mingyu, Han Qi, Li Xu

机构信息

The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui 230038, China.

The First Clinical Medical College, Anhui University of Chinese Medicine, Hefei, Anhui 230038, China.

出版信息

ACS Omega. 2023 Dec 4;8(50):48522-48534. doi: 10.1021/acsomega.3c08460. eCollection 2023 Dec 19.

DOI:10.1021/acsomega.3c08460
PMID:38144152
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10734003/
Abstract

BACKGROUND

Rheumatoid arthritis (RA) is an autoimmune disease characterized by chronic systemic inflammation, leading to joint deformities and functional loss. RA progression is accompanied by abnormalities in the coagulation-fibrinolysis system, clinically manifested as a hypercoagulable state. However, there are currently no bibliometrics or visualization analysis in this field.

OBJECTIVE

The present study aims to reveal the knowledge structure, research status, and research trends related to hypercoagulability in RA through bibliometric analysis and to evaluate the utility of inflammatory and coagulation markers in RA disease activity through retrospective data mining.

METHODS

English articles and reviews on RA hypercoagulability published from 2010 to 2023 were extracted from the Web of Science Core Collection (WoSCC) database on March 1, 2023. VOSviewer and CiteSpace software were used for knowledge mapping analysis of the included papers in terms of countries/regions, institutions, journals, authors, keywords, research hotspots, and frontiers. A retrospective analysis was conducted on the general information on RA patients. The demographic and clinical indicators of all participants were collected to determine the correlation of inflammatory and coagulation markers with the Chinese patient-reported activity index for rheumatoid arthritis (CPRI-RA).

RESULTS

A total of 957 papers were retrieved. The United States was the most productive country in this field and had the highest h-index, and the most prolific institution was the Karolinska Institute. The Annals of the Rheumatic Diseases was the journal with the most publications, and KLARESKOG L. was the most productive author. From keyword analysis, it could be seen that "inflammation", "activation", "disease-activity", and "risk" had long been the focuses of RA hypercoagulability research. "Criteria", "validation", "coagulation", "target", and "anemia" were the latest popular keywords in the past 5 years. Retrospective data mining revealed that the levels of inflammation (RF, ESR, and CRP) and coagulation (PLT and DD) were significantly increased in RA patients. FBG, CRP, and ESR were significantly correlated with CPRI-RA. Additionally, ESR, CRP, and FBG were identified as independent risk factors for CPRI-RA.

CONCLUSION

The mechanism and application of hypercoagulability in RA have been research hotspots in recent years. Inflammation and coagulation markers are independent risk factors for CPRI-RA.

摘要

背景

类风湿关节炎(RA)是一种自身免疫性疾病,其特征为慢性全身性炎症,可导致关节畸形和功能丧失。RA的进展伴随着凝血 - 纤溶系统异常,临床表现为高凝状态。然而,目前该领域尚无文献计量学或可视化分析。

目的

本研究旨在通过文献计量分析揭示与RA高凝状态相关的知识结构、研究现状和研究趋势,并通过回顾性数据挖掘评估炎症和凝血标志物在RA疾病活动中的效用。

方法

于2023年3月1日从Web of Science核心合集(WoSCC)数据库中提取2010年至2023年发表的关于RA高凝状态的英文文章和综述。使用VOSviewer和CiteSpace软件对纳入论文在国家/地区、机构、期刊、作者、关键词、研究热点和前沿等方面进行知识图谱分析。对RA患者的一般信息进行回顾性分析。收集所有参与者的人口统计学和临床指标,以确定炎症和凝血标志物与中国类风湿关节炎患者报告活动指数(CPRI - RA)的相关性。

结果

共检索到957篇论文。美国是该领域产出最多的国家且h指数最高,产出最多的机构是卡罗林斯卡学院。《风湿病学年鉴》是发表论文最多的期刊,KLARESKOG L.是产出最多的作者。从关键词分析可知,“炎症”“激活”“疾病活动”和“风险”长期以来一直是RA高凝状态研究的重点。“标准”“验证”“凝血”“靶点”和“贫血”是过去5年中最新的热门关键词。回顾性数据挖掘显示,RA患者的炎症(RF、ESR和CRP)和凝血(PLT和DD)水平显著升高。FBG、CRP和ESR与CPRI - RA显著相关。此外,ESR、CRP和FBG被确定为CPRI - RA的独立危险因素。

结论

RA高凝状态的机制和应用是近年来的研究热点。炎症和凝血标志物是CPRI - RA的独立危险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c1/10734003/73df022fbdba/ao3c08460_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c1/10734003/2b3ca7167af1/ao3c08460_0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c1/10734003/d9966c778ae2/ao3c08460_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c1/10734003/73df022fbdba/ao3c08460_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c1/10734003/2b3ca7167af1/ao3c08460_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c1/10734003/8c23acc657df/ao3c08460_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c1/10734003/2fda5d301eec/ao3c08460_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c1/10734003/7b09b717b35e/ao3c08460_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c1/10734003/d2ea536ae7e0/ao3c08460_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c1/10734003/d9966c778ae2/ao3c08460_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87c1/10734003/73df022fbdba/ao3c08460_0007.jpg

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