| 引用本文: | 茅鸯对,朱价.药物警戒数字化研究的知识图谱分析及其启示[J].中国现代应用药学,2022,39(22):3009-3013. |
| MAO Yangdui,ZHU Jia.Knowledge Graph Analysis of Pharmacovigilance Digitization Research and Its Enlightenment[J].Chin J Mod Appl Pharm(中国现代应用药学),2022,39(22):3009-3013. |
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| 摘要: |
| 目的 通过分析药物警戒数字化研究领域的文献，总结该领域研究热点及演化趋势并提出启示。方法 在Web of Science数据库检索2002—2022年全球药物警戒数字化研究领域的核心文献，利用CiteSpace V软件对其时间分布、空间分布、关键词共现、关键词聚类、关键词突现进行知识图谱分析。结果 研究共纳入1 103篇文献，近5年发文量高速增长，发文数量最高的国家是美国、中国、英国、法国及意大利，发文数量最高的机构是乌普萨拉监测中心、法国国家健康与医学研究院及美国食品药品监督管理局。研究热点聚焦于药物不良反应信号检测、药物安全与风险评估、报告系统与数据库信息挖掘等方面，未来研究趋势为探索社交媒体、深度学习、人工智能、物联网等在药物警戒中的应用。结论 药物警戒数字化研究处于发展阶段，构建药物警戒数字生态体系、加强多元复合型人才培养力度、优化药物警戒数字化技术三大措施有助于提高药物警戒的效率和水平。 |
| 关键词: 药物警戒|药品不良反应|数字化|知识图谱|CiteSpace |
| DOI：10.13748/j.cnki.issn1007-7693.2022.22.017 |
| 分类号:R951 |
| 基金项目:浙江省哲学社会科学规划项目(23NDJC446YBM、19NDJC404YBM)；浙江省药品监管系统科技计划项目(2021032) |
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| Knowledge Graph Analysis of Pharmacovigilance Digitization Research and Its Enlightenment |
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MAO Yangdui1, ZHU Jia2
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1.Zhejiang Pharmaceutical University, Ningbo 315000, China;2.Zhejiang Institute for Food and Drug Control, Hangzhou 310052, China
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| Abstract: |
| OBJECTIVE To summarize the research hotspots and evolution trends in the field of pharmacovigilance digitization and put forward the enlightenment by analyzing the literature in the field of pharmacovigilance digitization research. METHODS The core literatures in the field of global pharmacovigilance digital research from 2002 to 2022 were retrieved from Web of Science database. Knowledge Graph analysis of the temporal distribution, spatial distribution, keyword co-occurrence, keyword clustering and keyword emergence of the study was performed using CiteSpace V Software. RESULTS A total of 1 103 articles were included in the study, and the number of publications increased rapidly in the past five years. The countries with the highest number of publications were the United States, China, Britain, France and Italy, and the institutions with the highest number of publications were the Uppsala Monitoring Center, the French National Institute of Health and Medical Research and the U.S. Food and Drug Administration. Research hotspots focused on adverse drug reaction signal detection, drug safety and risk assessment, reporting system and database information mining, etc. Future research trends were to explore the application of social media, deep learning, artificial intelligence, internet of things in pharmacovigilance. CONCLUSION The research of pharmacovigilance digitization is in the developing stage and it’s helpful to improve the efficiency and level of pharmacovigilance by constructing a digital ecosystem for pharmacovigilance, strengthening the cultivation of diversified and complex talents and optimizing pharmacovigilance digital technology. |
| Key words: pharmacovigilance|adverse drug reaction|digitalization|knowledge map|CiteSpace |
