Global research trends of endoscope in early gastric cancer: A bibliometric and visualized analysis study over past 20 years

Front Oncol. 2023 Apr 6:13:1068747. doi: 10.3389/fonc.2023.1068747. eCollection 2023.

Abstract

Objectives: 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.

Methods: 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.

Results: 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. Helicobacter pylori eradication, second-look endoscopy, and follow-up management were examined.

Conclusions: 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.

Keywords: VOSviewer; bibliometric analysis; early gastric cancer; endoscope; hotspots.

Grants and funding

This research was supported by the National Natural Science Foundation of China grant number 82070575, the Beijing Hospitals Authority “Dengfeng” talent training plan grant number DFL20220101, Capital’s Funds for Health Improvement and Research grant number 2020-2-2026, the Beijing Hospitals Authority Clinical Technology Innovation Project grant number XMLX202131 and the Capital Health Development Research Fund grant number 2020-1-2023.