Sood Ajay K, Prasada Rao A K
School of Engineering and Technology, BML Munjal University, Gurugram, India.
Department of Mechanical Engineering, GITAM Institute of Science and Technology, Gitam Deemed to be University, Visakhapatnam, Andhra Pradesh, India.
Front Cardiovasc Med. 2025 Jan 31;12:1371443. doi: 10.3389/fcvm.2025.1371443. eCollection 2025.
Ventricular assist devices (VADs) are lifesavers for people with advanced heart failure. The design of these devices has undergone drastic changes over time with the latest designs being far more efficient, small, lightweight, and more user-friendly. This study aims to analyze publications using bibliometric analysis and see the progress and identify key themes, trends, and collaboration networks.
Data relevant to this study were obtained from Scopus and Web of Science databases from 1990 to 2023. Data analysis was done using Biblioshiny which is an R-based software and is part of RStudio and Microsoft Excel to analyze collaboration between countries, authors, keyword analysis, trend topics, and evolution of various themes related to this study.
A total of 489 published documents were analyzed, and these documents were from 158 different sources and 1,753 authors. The top contributing journals were and with 116 and 81 publications, respectively. The top contributing authors in terms of total documents were Nose Y (35) and Throckmorton A (30) and in terms of total citations were Pagani F (2005) and Mehra M (1952). Top countries include the USA, China, and Germany. The trend topics include miniaturization, machine learning, wireless, shear flow, and fiber-optic sensors.
The latest technological advancements in VAD design are making them a more suitable choice for a large number of patients. This bibliometric work will aid in identifying the newest trends and developments in this field and highlight the areas where more research is needed. These data are crucial for driving innovation in this field and for improving the lives of patients who depend on VADs. Future studies can be conducted to explore the use of artificial intelligence and machine learning that can learn from data about patients and then adapt as per the requirements of the patients.
心室辅助装置(VAD)是晚期心力衰竭患者的救命稻草。随着时间的推移,这些装置的设计发生了巨大变化,最新设计的效率更高、体积更小、重量更轻且更便于使用。本研究旨在通过文献计量分析来分析相关出版物,了解其进展情况,并确定关键主题、趋势和合作网络。
本研究相关数据来自1990年至2023年的Scopus和Web of Science数据库。数据分析使用了Biblioshiny,它是一款基于R的软件,是RStudio和Microsoft Excel的一部分,用于分析国家间的合作、作者、关键词分析、趋势主题以及与本研究相关的各种主题的演变。
共分析了489篇已发表文献,这些文献来自158个不同来源和1753位作者。贡献最大的期刊分别是 和 ,发表数量分别为116篇和81篇。就文献总数而言,贡献最大的作者是Nose Y(35篇)和Throckmorton A(30篇);就总被引次数而言,是Pagani F(2005次)和Mehra M(1952次)。主要国家包括美国、中国和德国。趋势主题包括小型化、机器学习、无线、剪切流和光纤传感器。
VAD设计的最新技术进步使其成为大量患者更合适的选择。这项文献计量工作将有助于确定该领域的最新趋势和发展,并突出需要更多研究的领域。这些数据对于推动该领域的创新以及改善依赖VAD的患者的生活至关重要。未来的研究可以探索人工智能和机器学习的应用,它们可以从患者数据中学习,然后根据患者需求进行调整。