Analysis and prediction of research hotspots and trends in heart failure research.

IF 4.7 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Journal of Translational Internal Medicine Pub Date : 2024-07-27 eCollection Date: 2024-06-01 DOI:10.2478/jtim-2023-0117
Zeye Liu, Yuan Huang, Yang Yang, Wenchao Li, Wenhao Ju, Fengwen Zhang, Wenbin Ouyang, Shouzheng Wang, Cheng Wang, Xuanqi An, Ruibing Xia, Yakun Li, Xiangbin Pan
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引用次数: 0

Abstract

Background and objectives: Comprehensive data analyses in heart failure research can provide academics with information and help policymakers formulate relevant policies. We collected data from reports published between 1945 and 2021 to identify research topics, trends, and cross-domains in the heart failure disease literature.

Methods: Text fragments were extracted and clustered from the titles and abstracts in 270617 publications using artificial intelligence techniques. Two algorithms were used to corroborate the results and ensure that they were reliable. Experts named themes and document clusters based on the results of these semiautomated methods. Using consistent methods, we identified and flagged 107 heart failure topics and 16 large document clusters (divided into two groups by time). The annual vocabularies of research hotspots were calculated to draw attention to niche research fields.

Results: Clinical research is an expanding field, followed by basic research and population research. The most frequently raised issues were intensive care treatment for heart failure, applications of artificial intelligence technologies, cardiac assist devices, stem cells, genetics, and regional distribution and use of heart failure-related health care. Risk scoring and classification, care for patients, readmission, health economics of treatment and care, and cell regeneration and signaling pathways were among the fastest-growing themes. Drugs, signaling pathways, and biomarkers were all crucial issues for clinical and basic research in the entire population. Studies on intelligent medicine and telemedicine, interventional therapy for valvular disease, and novel coronavirus have emerged recently.

Conclusion: Clinical and population research is increasingly focusing on the customization of intelligent treatments, improving the quality of patients' life, and developing novel treatments. Basic research is increasingly focusing on regenerative medicine, translational medicine, and signaling pathways. Additionally, each research field exhibits mutual fusion characteristics. Medical demands, new technologies, and social support are all potential drivers for these changes.

分析和预测心力衰竭研究的热点和趋势。
背景和目的:对心力衰竭研究进行全面的数据分析可以为学术界提供信息,帮助决策者制定相关政策。我们从 1945 年至 2021 年间发表的报告中收集数据,以确定心力衰竭疾病文献中的研究主题、趋势和交叉领域:使用人工智能技术从 270617 篇出版物的标题和摘要中提取文本片段并进行聚类。使用两种算法对结果进行确证,确保结果的可靠性。专家们根据这些半自动方法的结果命名了主题和文档集群。通过使用一致的方法,我们确定并标记了 107 个心力衰竭主题和 16 个大型文献集群(按时间分为两组)。我们计算了研究热点的年度词汇,以引起人们对利基研究领域的关注:结果:临床研究是一个不断扩展的领域,其次是基础研究和人口研究。提出最多的问题是心力衰竭的重症监护治疗、人工智能技术的应用、心脏辅助装置、干细胞、遗传学以及心力衰竭相关医疗的地区分布和使用。风险评分和分类、患者护理、再入院、治疗和护理的卫生经济学以及细胞再生和信号通路是增长最快的主题。药物、信号通路和生物标志物都是整个人群临床和基础研究的关键问题。最近还出现了关于智能医学和远程医疗、瓣膜病的介入治疗以及新型冠状病毒的研究:结论:临床和人群研究越来越关注定制化智能治疗、提高患者生活质量和开发新型治疗方法。基础研究越来越关注再生医学、转化医学和信号通路。此外,各研究领域还呈现出相互融合的特点。医疗需求、新技术和社会支持都是这些变化的潜在驱动力。
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来源期刊
Journal of Translational Internal Medicine
Journal of Translational Internal Medicine MEDICINE, GENERAL & INTERNAL-
CiteScore
5.50
自引率
8.20%
发文量
41
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