Trends in research on sick sinus syndrome: A bibliometric analysis from 2000 to 2022

Sick sinus syndrome (SSS) is a refractory arrhythmia disease caused by the pathological changes of sinoatrial node and its adjacent tissues. 2,251 publications related to SSS were retrieved from Web of Science database from 2000 to 2022 and analyzed by using VOS viewer and CiteSpace software. The re...

Full description

Bibliographic Details
Main Authors: Xin’ai Zhang, Yong Zhao, Yutong Zhou, Jiayu Lv, Jiaran Peng, Haiyan Zhu, Ruxiu Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.991503/full
_version_ 1828199447503306752
author Xin’ai Zhang
Yong Zhao
Yutong Zhou
Jiayu Lv
Jiaran Peng
Haiyan Zhu
Ruxiu Liu
author_facet Xin’ai Zhang
Yong Zhao
Yutong Zhou
Jiayu Lv
Jiaran Peng
Haiyan Zhu
Ruxiu Liu
author_sort Xin’ai Zhang
collection DOAJ
description Sick sinus syndrome (SSS) is a refractory arrhythmia disease caused by the pathological changes of sinoatrial node and its adjacent tissues. 2,251 publications related to SSS were retrieved from Web of Science database from 2000 to 2022 and analyzed by using VOS viewer and CiteSpace software. The results showed the United States dominated the field, followed by Japan, Germany, and China. SSS was closely related to risk factors such as atrial fibrillation and aging. Sick sinus syndrome, atrial fibrillation and sinus node dysfunction were the top three keywords that had the strongest correlation with the study. Pacemaker implantation, differentiation and mutation are research hotspots currently. Clinical studies on SSS found that sick sinus syndrome, atrial fibrillation, and pacemakers were the top three keywords that had the largest nodes and the highest frequency. In the field of basic applied research and basic research, atrial fibrillation and pacemaker cells were the focus of research. In conclusion, bibliometric analysis provided valuable information for the prevention, treatment and future research trends of SSS.
first_indexed 2024-04-12T10:55:29Z
format Article
id doaj.art-39c98782ef1d49a88f6b58e5b13d7997
institution Directory Open Access Journal
issn 2297-055X
language English
last_indexed 2024-04-12T10:55:29Z
publishDate 2022-11-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Cardiovascular Medicine
spelling doaj.art-39c98782ef1d49a88f6b58e5b13d79972022-12-22T03:36:06ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2022-11-01910.3389/fcvm.2022.991503991503Trends in research on sick sinus syndrome: A bibliometric analysis from 2000 to 2022Xin’ai Zhang0Yong Zhao1Yutong Zhou2Jiayu Lv3Jiaran Peng4Haiyan Zhu5Ruxiu Liu6Department of Cardiovascular, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaDepartment of Cardiovascular, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, ChinaDepartment of Cardiovascular, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaDepartment of Cardiovascular, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaDepartment of Cardiovascular, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, ChinaDepartment of Cardiovascular, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, ChinaDepartment of Cardiovascular, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, ChinaSick sinus syndrome (SSS) is a refractory arrhythmia disease caused by the pathological changes of sinoatrial node and its adjacent tissues. 2,251 publications related to SSS were retrieved from Web of Science database from 2000 to 2022 and analyzed by using VOS viewer and CiteSpace software. The results showed the United States dominated the field, followed by Japan, Germany, and China. SSS was closely related to risk factors such as atrial fibrillation and aging. Sick sinus syndrome, atrial fibrillation and sinus node dysfunction were the top three keywords that had the strongest correlation with the study. Pacemaker implantation, differentiation and mutation are research hotspots currently. Clinical studies on SSS found that sick sinus syndrome, atrial fibrillation, and pacemakers were the top three keywords that had the largest nodes and the highest frequency. In the field of basic applied research and basic research, atrial fibrillation and pacemaker cells were the focus of research. In conclusion, bibliometric analysis provided valuable information for the prevention, treatment and future research trends of SSS.https://www.frontiersin.org/articles/10.3389/fcvm.2022.991503/fullsick sinus syndromesinus node dysfunctionbibliometricCiteSpaceVOS viewer
spellingShingle Xin’ai Zhang
Yong Zhao
Yutong Zhou
Jiayu Lv
Jiaran Peng
Haiyan Zhu
Ruxiu Liu
Trends in research on sick sinus syndrome: A bibliometric analysis from 2000 to 2022
Frontiers in Cardiovascular Medicine
sick sinus syndrome
sinus node dysfunction
bibliometric
CiteSpace
VOS viewer
title Trends in research on sick sinus syndrome: A bibliometric analysis from 2000 to 2022
title_full Trends in research on sick sinus syndrome: A bibliometric analysis from 2000 to 2022
title_fullStr Trends in research on sick sinus syndrome: A bibliometric analysis from 2000 to 2022
title_full_unstemmed Trends in research on sick sinus syndrome: A bibliometric analysis from 2000 to 2022
title_short Trends in research on sick sinus syndrome: A bibliometric analysis from 2000 to 2022
title_sort trends in research on sick sinus syndrome a bibliometric analysis from 2000 to 2022
topic sick sinus syndrome
sinus node dysfunction
bibliometric
CiteSpace
VOS viewer
url https://www.frontiersin.org/articles/10.3389/fcvm.2022.991503/full
work_keys_str_mv AT xinaizhang trendsinresearchonsicksinussyndromeabibliometricanalysisfrom2000to2022
AT yongzhao trendsinresearchonsicksinussyndromeabibliometricanalysisfrom2000to2022
AT yutongzhou trendsinresearchonsicksinussyndromeabibliometricanalysisfrom2000to2022
AT jiayulv trendsinresearchonsicksinussyndromeabibliometricanalysisfrom2000to2022
AT jiaranpeng trendsinresearchonsicksinussyndromeabibliometricanalysisfrom2000to2022
AT haiyanzhu trendsinresearchonsicksinussyndromeabibliometricanalysisfrom2000to2022
AT ruxiuliu trendsinresearchonsicksinussyndromeabibliometricanalysisfrom2000to2022