中国药学(英文版) ›› 2026, Vol. 35 ›› Issue (3): 275-291.DOI: 10.5246/jcps.2026.03.019
陈晶晶1,#, 鞠建杰1,#, 王婧婷2, 阳丽梅2,*(
)
收稿日期:2025-11-18
修回日期:2025-12-23
接受日期:2026-01-14
出版日期:2026-04-04
发布日期:2026-04-03
通讯作者:
阳丽梅
Jingjing Chen1,#, Jianjie Ju1,#, Jingting Wang2, Limei Yang2,*(
)
Received:2025-11-18
Revised:2025-12-23
Accepted:2026-01-14
Online:2026-04-04
Published:2026-04-03
Contact:
Limei Yang
About author:# Jingjing Chen and Jianjie Ju contributed equally to this work.
Supported by:摘要:
静脉血栓栓塞症(VTE)每年导致全球约一百万人死亡, 给医疗资源带来沉重负担。该疾病的发病率随年龄呈指数级增长, 相关危险因素在老年人群中尤为显著, 多种基础健康问题进一步增加了该群体的VTE发生风险。本研究通过Web of Science核心合集数据库, 检索2009年1月1日至2024年6月24日期间发表的老年VTE相关文献, 运用CiteSpace和VOSviewer软件对出版物、国家、机构、期刊、作者及关键词进行文献计量分析。共纳入15 437篇文献, 其中美国发文量居首, 哈佛大学是该领域研究实力最强的机构。值得注意的是, 挪威学者Rosendaal FR在老年VTE研究中贡献突出。《血栓与止血杂志》被认定为该领域最具影响力的期刊。关键词中心性与引文突现分析显示, 近期研究热点集中于老年VTE患者的药物治疗及预后评估。本研究系统梳理了截至2024年全球老年VTE研究态势, 揭示了新兴研究热点与发展趋势, 预示未来研究将聚焦于该高危人群的治疗策略与预防措施。
Supporting:
陈晶晶, 鞠建杰, 王婧婷, 阳丽梅. 基于CiteSpace和VOSviewer软件分析老年患者静脉血栓栓塞症的文献计量学分析[J]. 中国药学(英文版), 2026, 35(3): 275-291.
Jingjing Chen, Jianjie Ju, Jingting Wang, Limei Yang. Bibliometric analysis of venous thromboembolism in the elderly using CiteSpace and VOSviewer[J]. Journal of Chinese Pharmaceutical Sciences, 2026, 35(3): 275-291.
Figure 3. Analysis of countries’ publications on VTE in the elderly. (A) The overlay visualization map among the top 40 countries and regions. Node size reflects document volume, and color indicates the year of publication; (B) The network map of country collaboration. Color intensity reflects the national publication volume, while the thickness and quantity of the tan line indicate the degree of cooperation; (C) Analysis of countries with ≥ 100 publications.
Figure 4. Analysis of institutions regarding VTE in the elderly. (A) The overlay visualization map of institutions with ≥ 50 publications. (B) The top 15 institutions in terms of citations and publication volume.
Figure 5. Co-authorship analysis of the excellent authors about VTE in the elderly. (A) The overlay visualization map of authors; (B) Countries and institutions of these distinguished authors.
Figure 6. Analysis of keywords related to VTE in the elderly. (A) The visualization network map of keywords. A node represents a keyword, with its size reflecting the keyword’s frequency; (B) The top 25 keywords with the strongest citation burst. The blue bar represents the monitoring period, while the red bar denotes the duration of the burst keyword; (C) The timeline view of keywords with 12 main clusters.
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