Publication Trends and Research Hotspots of the Cardiorenal Syndrome: A Bibliometrics and Visual Analysis from 2003 to 2023

被引:0
作者
Shi, Yibo [1 ]
Fu, Zean [2 ]
Wu, Shixiong [3 ]
Yu, Xinyi [3 ]
机构
[1] Zhengzhou Univ, Dept Urol Surg, Affiliated Hosp 1, Zhengzhou, Peoples R China
[2] Tianjin Med Univ, Clin Sch Cardiovasc Dis, Tianjin, Peoples R China
[3] Zhengzhou Univ, Dept Cardiovasc Surg, Affiliated Hosp 1, Zhengzhou, Peoples R China
关键词
Bibliometrics; Cardiorenal syndrome; BioBERT; Biomarkers; OXIDATIVE STRESS; HEART;
D O I
10.1159/000539306
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Cardiorenal syndrome encompasses a range of disorders involving both the heart and kidneys, wherein dysfunction in one organ may induce dysfunction in the other, either acutely or chronically. Methods: This study conducted a literature search on cardiorenal syndrome from January 1, 2003, to September 8, 2023. Meanwhile, a quantitative analysis of the developmental trajectory, research hotspots and evolutionary trends in the fi eld of cardiorenal syndrome through bibliometric analysis and knowledge mapping was carried out. Results: The annual publication trend analysis revealed a consistent annual increase in cardiorenal syndrome literature over the last 20 years. The IL6, REN, and INS genes were identified as the current research hotspots. Conclusion: The fi eld of cardiorenal syndrome exhibits promising potential to grow and is emerging as a prominent research area. Future endeavours should prioritise a comprehensive understanding of the fi eld and foster multi-centre cooperation among different countries and regions. (c) 2024 The Author(s). Published by S. Karger AG, Basel
引用
收藏
页码:307 / 319
页数:13
相关论文
共 31 条
[1]  
Abramo G., 2011, Scientometrics
[2]  
Bright R., 1836, Guy's Hosp Rep, V1, P336
[3]   Cardiorenal Interactions [J].
Carubelli, Valentina ;
Lombardi, Carlo ;
Gorga, Elio ;
Ravera, Alice ;
Metra, Marco ;
Mentz, Robert J. .
HEART FAILURE CLINICS, 2016, 12 (03) :335-+
[4]   Diabetes in Asia Epidemiology, Risk Factors, and Pathophysiology [J].
Chan, Juliana C. N. ;
Malik, Vasanti ;
Jia, Weiping ;
Kadowaki, Takashi ;
Yajnik, Chittaranjan S. ;
Yoon, Kun-Ho ;
Hu, Frank B. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2009, 301 (20) :2129-2140
[5]   Cardiorenal Syndrome and the Role of the Bone-Mineral Axis and Anemia [J].
Charytan, David M. ;
Fishbane, Steven ;
Malyszko, Jolanta ;
McCullough, Peter A. ;
Goldsmith, David .
AMERICAN JOURNAL OF KIDNEY DISEASES, 2015, 66 (02) :196-205
[6]   CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature [J].
Chen, CM .
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2006, 57 (03) :359-377
[7]   A guide to machine learning for biologists [J].
Greener, Joe G. ;
Kandathil, Shaun M. ;
Moffat, Lewis ;
Jones, David T. .
NATURE REVIEWS MOLECULAR CELL BIOLOGY, 2022, 23 (01) :40-55
[8]   eDoctor: machine learning and the future of medicine [J].
Handelman, G. S. ;
Kok, H. K. ;
Chandra, R. V. ;
Razavi, A. H. ;
Lee, M. J. ;
Asadi, H. .
JOURNAL OF INTERNAL MEDICINE, 2018, 284 (06) :603-619
[9]   An index to quantify an individual's scientific research output [J].
Hirsch, JE .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (46) :16569-16572
[10]   Cardiac Remodeling in Chronic Kidney Disease [J].
Kaesler, Nadine ;
Babler, Anne ;
Floege, Juergen ;
Kramann, Rafael .
TOXINS, 2020, 12 (03)