Liu Sifan, Zhang Nan, Hao Yan, Li Peng
Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Diseases, Beijing, China.
Department of Cardiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Front Oncol. 2023 Apr 6;13:1068747. doi: 10.3389/fonc.2023.1068747. eCollection 2023.
Early gastric cancer (EGC) is defined as aggressive gastric cancer involving the gastric mucosa and submucosa. Early detection and treatment of gastric cancer are beneficial to patients. In recent years, many studies have focused on endoscopic diagnosis and therapy for EGC. Exploring new methods to analyze data to enhance knowledge is a worthwhile endeavor, especially when numerous studies exist. This study aims to investigate research trends in endoscopy for EGC over the past 20 years using bibliometric analysis.
Original articles and reviews examining the use of endoscopy for EGC published from 2000 to 2022 were retrieved from the Web of Science Core Collection, and bibliometric data were extracted. Microsoft Office Excel 2016 was used to show the annual number of published papers for the top 10 countries and specific topics. VOSviewer software was used to generate network maps of the cooccurrences of keywords, authors, and topics to perform visualization network analysis.
In total, 1,009 published papers met the inclusion criteria. Japan was the most productive country and had the highest number of publications (452, 44.8%), followed by South Korea (183, 18.1%), and China (150, 14.9%). The National Cancer Center of Japan was the institution with the highest number of publications (48, 4.8%). Ono was the most active author and had the highest number of cited publications. Through the network maps, exploring endoscopic diagnosis and therapy were major topics. Artificial intelligence (AI), convolutional neural networks (CNNs), and deep learning are hotspots in endoscopic diagnosis. eradication, second-look endoscopy, and follow-up management were examined.
This bibliometric analysis investigated research trends regarding the use of endoscopy for treating EGC over the past 20 years. AI and deep learning, second-look endoscopy, and management are hotspots in endoscopic diagnosis and endoscopic therapy in the future.
早期胃癌(EGC)被定义为侵犯胃黏膜和黏膜下层的侵袭性胃癌。胃癌的早期检测和治疗对患者有益。近年来,许多研究聚焦于早期胃癌的内镜诊断和治疗。探索新的数据分析法以增进认知是一项值得开展的工作,尤其是在已有大量研究的情况下。本研究旨在通过文献计量分析调查过去20年早期胃癌内镜检查的研究趋势。
从科学网核心合集检索2000年至2022年发表的关于早期胃癌内镜检查应用的原创文章和综述,并提取文献计量数据。使用Microsoft Office Excel 2016展示前10个国家发表论文的年度数量以及特定主题。使用VOSviewer软件生成关键词、作者和主题共现的网络图,以进行可视化网络分析。
共有1009篇发表的论文符合纳入标准。日本是发文量最多的国家,发表数量最多(452篇,44.8%),其次是韩国(183篇,18.1%)和中国(150篇,14.9%)。日本国立癌症中心是发文量最多的机构(48篇,4.8%)。小野是最活跃的作者,被引论文数量最多。通过网络图可知,探索内镜诊断和治疗是主要主题。人工智能(AI)、卷积神经网络(CNN)和深度学习是内镜诊断的热点。还对根除、二次内镜检查和随访管理进行了研究。
这项文献计量分析调查了过去20年使用内镜治疗早期胃癌的研究趋势。人工智能和深度学习、二次内镜检查及管理是未来内镜诊断和内镜治疗的热点。