Worldwide Research Trends and Regional Differences in the Development of Precision Medicine Under Data-Driven Approach: A Bibliometric Analysis

被引:0
|
作者
Niu, Heyuan [1 ]
Li, Kai Yu [1 ]
Yu, Tao [2 ]
Zhang, Maorun [1 ]
Ji, Zhe [1 ]
Yu, Ping [3 ]
Yi, Xianfu [4 ]
Liu, Gang [1 ]
机构
[1] Tianjin Med Univ Gen Hosp, Dept Gen Surg, Tianjin 300070, Peoples R China
[2] Tianjin Med Univ Gen Hosp, Dept Med Oncol, Tianjin, Peoples R China
[3] Tianjin Med Univ, Lib Tianjin Med Univ, Tianjin 300070, Peoples R China
[4] Tianjin Med Univ, Sch Basic Med Sci, Dept Bioinformat, Tianjin, Peoples R China
关键词
precision medicine; bibliometric analysis; international collaboration; research topic; INDEX;
D O I
10.2147/JMDH.S482543
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Precision medicine is an innovative approach that integrates genomics, clinical informatics, and proteomics to address both genetic and environmental factors in disease prevention and treatment. This bibliometric study analyzes research trends, collaboration patterns, and the unique characteristics of precision medicine across countries to inform future research directions. Methods: A comprehensive search was conducted in the Web of Science Core Collection (1999-2022) database to identify publications related to precision medicine. The analysis of publication patterns, collaborations, institutions, authors, and research hotspots was performed utilizing Microsoft PowerPoint 2019 in conjunction with the Bibliometrix package in R. Results: A total of 30,777 publications on precision medicine were identified. The United States and the United Kingdom were recognized as the primary contributors, while European countries exhibited substantial collaborative efforts. Harvard University and the University of California System have played pivotal roles in advancing the field. The keywords analysis showed that in the early 2000s, "gene expression" and "personalized outcomes" were key themes. Since 2015, there's been a significant shift towards advanced technologies like artificial intelligence, machine learning, liquid biopsy, highlighting their growing importance in precision medicine. Research topics across various countries exhibit certain global similarities. However, different nations exhibit distinct thematic research focuses. China emphasizes "Informatics", "Hepatocellular Carcinoma", "Photothermal Therapy", and "Lung Adenocarcinoma", while the United States prioritizes "Informatics", "Treatment Rules", and "Consortium Guidelines". Germany and France share similar interests in particular research domains. Conclusion: Precision medicine is rapidly globalizing, with significant contributions from multiple countries and emerging technologies acting as catalysts for further development. Greater international cooperation is essential to elevate the quality and impact of research. These advancements hold great potential for transforming personalized healthcare by integrating cutting-edge scientific disciplines.
引用
收藏
页码:5259 / 5275
页数:17
相关论文
共 50 条
  • [1] Bibliometric Network Analysis and Visualization of Research and Development Trends in Precision Medicine
    Sohn, Eunsoo
    Noh, Kyung-Ran
    Lee, Bangrae
    Kwon, Oh-Jin
    2018 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM), 2018, : 727 - 730
  • [2] Global Characteristics and Trends in Research on Ferroptosis: A Data-Driven Bibliometric Study
    Dong, Xueting
    Tan, Yaochong
    Zhuang, Donglin
    Hu, Tingting
    Zhao, Mingyi
    OXIDATIVE MEDICINE AND CELLULAR LONGEVITY, 2022, 2022
  • [3] Enhancing Precision Medicine: A Big Data-Driven Approach for the Management of Genomic Data
    Leon, Ana
    Pastor, Oscar
    BIG DATA RESEARCH, 2021, 26
  • [4] Enhancing Clinical Decision Support for Precision Medicine: A Data-Driven Approach
    Mosavi, Nasim Sadat
    Santos, Manuel Filipe
    INFORMATICS-BASEL, 2024, 11 (03):
  • [5] Dynamic decision analysis in medicine: a data-driven approach
    Cao, CG
    Leong, TY
    Leong, APK
    Seow, FC
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 1998, 51 (01) : 13 - 28
  • [6] Data-driven precision medicine through the analysis of biological functional modules
    Shomorony, Ilan
    CELL REPORTS MEDICINE, 2022, 3 (12)
  • [7] The Dutch childhood cancer genome project: Data-driven precision medicine and research
    von Berg, Joanna
    van Belzen, Ianthe A. E. M.
    Wallis, Fleur S. A.
    Spinou, Anastasia
    Farag, Roula
    Cruz, Victoria M.
    Kester, Lennart A.
    Koudijs, Marco
    Baker-Hernandez, John L.
    Janse, Alex
    Badloe, Shashi
    de Vos, Sam
    Santoso, Marcel
    Verwiel, Eugene T. P.
    van Tuil, Mark
    Kerstens, Hindrik H. D.
    Hehir-Kwa, Jayne Y.
    Holstege, Frank C. P.
    Tops, Bastiaan B. J.
    Kemmeren, Patrick
    CANCER RESEARCH, 2024, 84 (17)
  • [8] Global research on wearable technology applications in healthcare: A data-driven bibliometric analysis
    Meng, Fanyu
    Cui, Zhiying
    Guo, Haoxin
    Zhang, Ye
    Gu, Zhengmin
    Wang, Zhongqing
    DIGITAL HEALTH, 2024, 10
  • [9] Research on big data-driven public services in China: a visualized bibliometric analysis
    Xia, Zhiqiang
    Yan, Xingyu
    Yang, Xiaoyong
    JOURNAL OF CHINESE GOVERNANCE, 2022, 7 (04) : 531 - 558
  • [10] Development of Bayesian Network-Based Regional Healthcare Analysis Model for Data-Driven Approach
    Kawashima, Miyako
    Ohba, Haruka
    Mizuno, Shinya
    Proceedings of the International Conference on Electronic Business (ICEB), 2023, 23 : 156 - 165