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ORIGINAL RESEARCH article

Front. Oncol., 06 April 2023
Sec. Gastrointestinal Cancers: Gastric and Esophageal Cancers

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

  • 1Department 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
  • 2Department of Cardiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China

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.

Introduction

Gastric cancer is the fifth most commonly diagnosed cancer in the world and the fourth leading cause of cancer-related deaths (1). Although the trend of gastric cancer is currently decreasing, the prevalence is still high in some areas, such as Asia, Eastern Europe, and South America (1, 2). Patients’ quality of life and prognosis are poor. Thus, early detection and treatment of gastric cancer is necessary and fundamental.

Early gastric cancer (EGC) is defined as gastric cancer involved in the gastric mucosa and gastric submucosa layer, with or without lymph node metastasis (3). Endoscopy is widely used in the diagnosis and therapy of EGC, such as endoscopic submucosal dissection (ESD) and endoscopic mucosal resection (EMR) (4). Many studies have focused on the use of endoscopy for EGC in recent years, including etiologies and novel diagnostic and therapeutic methods (57). The role of endoscopy in EGC has gradually become more important with the development of numerous technologies, and positive effects have been observed.

Since the start of the 21st century, many researchers and institutions have examined the use of endoscopy for EGC, and many related papers have been published. Hence, it is important to conduct systematic, comprehensive, and scientific analyses to specify the effect of these publications, confirm the hotspots, and identify possible promising fields in this area. Bibliometric and visual analysis can generate network maps based on the co-occurrence of keywords, authors, and topics (8, 9), thereby offering scientific production and development situations in this field (10, 11).

This study aims to perform bibliometric and visualization analysis through VOSviewer software to investigate the global research trends in endoscopy for EGC over the past 20 years and then obtain a better understanding of the current research and situations by analyzing their characteristics.

Materials and methods

Data collection

Papers published between 2000 and 2022 were researched in the Web of Science Core Collection (WoSCC) database, which provides more information on scientific publications and was considered the optional database for bibliometric analysis (12). The research strategy was as follows: “((TS = (“early gastric cancer”)) OR TS = (“early gastric carcinoma”)) AND ((TS = (“endoscope”)) OR TS = (“endoscopy”)). The exclusion criteria were as follows: (1) studies not related to endoscopy; (2) studies not written in English; and (3) studies not described in an original article or review. To avoid selection bias, two authors independently searched papers and extracted data on the same day, i.e., 1 August 2022. Disagreements between the authors were resolved through discussion and consensus. The following bibliometric data were extracted: author, title, published year, keywords, and abstract.

Data analysis

The recorded data were imported into Microsoft Office Excel 2016 and VOSviewer version 1.6.16 software. All papers were analyzed according to their topics: endoscopic diagnosis, endoscopic therapy, etiology, and others (reviews or case reports). Microsoft Office Excel 2016 was used to analyze the annual number of published papers from the top 10 countries and specific topics. VOSviewer version 1.6.16 software (Leiden University, Leiden, Netherlands) was used to generate network maps and cluster visualizations based on the cooccurrence of keywords, authors, and topics (13). In the visualization analysis, each circle represents a keyword or an author, and a larger circle represents a higher frequency of occurrence. Different colors of circles represent different clusters. We used the STARD checklist when writing our report (14).

Results

Research trends of publications

We comprehensively searched the WoSCC database to identify relevant papers. Ultimately, a total of 1,009 papers met the eligibility criteria and were included, as shown in Figure 1. These papers were written in various countries, institutions, and authors. Table 1 lists the 10 papers with the highest number of citations (1524). These 10 papers were cited a total of 4,890 times, representing 19.6% of the total 24,980 citations. The paper titled “Endoscopic mucosal resection for treatment of early gastric cancer,” written by Ono from Japan in 2001 was the most cited paper (1,207 citations) (15).

FIGURE 1
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Figure 1 Process of paper selection in the endoscope on the EGC.

TABLE 1
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Table 1 Top 10 cited papers in endoscope on EGC.

Since the beginning of the 21st century, many papers on the use of endoscopy for EGC have been published. Figure 2A shows the increasing trend in the number of publications over the past 20 years. There were three stages in the research trends. The first stage was from 2000 to 2011. At the beginning, between 10 and 20 papers were published each year, but this number continuously increased and reached a maximum of 45 annual publications. However, in 2011, the publication volume dropped to 35. The second stage was from 2012 to 2018. The number of publications exploded and reached 74 in 2017 but decreased to 55 in 2018. The third stage was from 2019 to 2022. At this stage, the increase in publication numbers was apparent, peaking at 107 in 2021. Due to the timing of the current analysis, the 65 publications recorded for 2022 do not represent the whole number for this year.

FIGURE 2
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Figure 2 (A) The annual number of published papers in endoscope on EGC over the past 20 years. (B) The annual trend in publications in endoscope on EGC by country over the past 20 years.

Distributions of countries and institutions

These 1,009 papers were published in 48 countries and in 201 institutions. Table 2 shows the top 10 countries, including six European countries, three Asian countries, and one North American country. These countries published 956 papers in total, representing 94.7% of the total number of publications. As shown in Figure 2B, three Asian countries (Japan, South Korea, and China) were highly productive, and they each published more than 100 papers separately over the past 20 years; the total number of publications from these three countries was 785, representing 77.8% of the total number of publications. Japan continued to be the leader in publications (452, 44.8%), followed by South Korea (183, 18.1%) and China (150, 14.9%). Japan also had the highest centrality among countries and institutions. The number of publications in China has generally increased in recent years as well.

TABLE 2
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Table 2 Top 10 countries and institutions involved in endoscope on EGC.

Centrality is used to evaluate the location of a node (a keyword, country, institution, or author) in a network. Higher centrality reflects greater effects (25). Japan has the highest centrality among countries—which means it contributes a large number of influential papers in this field—followed by the USA, China, and England (15, 26, 27). It has the highest centrality in institutions as well. However, South Korea has a centrality of 0.00, but it had the second highest number of publications. Some European countries, such as Italy, Germany, and the Netherlands, also have low centralities. This suggests that the quality of papers from these countries needs to improve, as increasing the number of publications is not sufficient.

In addition to the difference in the number of published articles, there are also some differences in the research emphasis between eastern and western countries. Western countries, such as the USA, England, and Italy, focus on the etiology, diagnosis, detection, and screening of EGC, while eastern countries, such as Japan, China, and South Korea, pay more attention to the treatment of EGC. However, in recent years, both eastern and western countries have paid increasing attention to the use of artificial intelligence in the field of EGC.

Figure 3A also shows the links between countries. Asian countries (Japan, China, and South Korea) are more closely linked to the USA than European countries (England, Italy, and Germany). Earlier, Germany, England, Spain, and Japan were more concerned with the use of endoscopy for EGC. China, Russia, and Romania were the most recent countries concerned about this topic (Figure 3B).

FIGURE 3
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Figure 3 (A) Network visualization of countries; (B) Overlay visualization of countries.

Regarding institutions, the 10 most productive institutions published 318 papers, representing 31.5% of the total number of publications. The National Cancer Center in Japan was the most prolific institution (48, 4.8%), followed by Yonsei University (40, 4.0%), and Fukuoka University (39, 3.9%). The top 10 institutions were all from Asia, including six Japanese and four South Korean institutions. Japanese institutions were tightly connected. The number of Chinese institutions has gradually increased in recent years as well (Figure 4).

FIGURE 4
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Figure 4 (A) Network visualization of institutions; (B) Overlay visualization of institutions.

Distributions of journals

In total, 224 journals published papers about the use of endoscopy for EGC over the past 20 years. Table 3 shows the top 10 journals, which accounted for 448 publications, representing 44.4% of the total number of publications. Surgical Endoscopy and Other Interventional Techniques was the most productive journal (77, 7.6%), followed by the World Journal of Gastroenterology (64, 6.3%), and Digestive Endoscopy (61, 6.0%). Each of the top 10 journals published at least 20 papers on the use of endoscopy for EGC. Seventy percent of the 10 journals belong to Q1 or Q2. Among them, Gastrointestinal Endoscopy had the highest impact factor (10.396 in 2021). The Journal Citation Indicator (JCI) is the average Category Normalized Citation Impact (CNCI) of citable items (articles and reviews) published by a journal over a recent three-year period. Among these 10 journals, Endoscopy has the highest JCI (2.47).

TABLE 3
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Table 3 Top 10 journals involved in endoscope on EGC.

Distributions of authors

In total, approximately 200 authors have published papers on the use of endoscopy for EGC over the past 20 years. Table 4 lists the top 10 authors (nine Japanese authors and one South Korean author), who published a total of 209 papers, representing 20.7% of the total number of publications. Each of the top 10 authors published more than 15 papers. Oda Ichiro from Japan published the largest number of papers (31, 3.1%) and had the highest H-index (58).

TABLE 4
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Table 4 Top 10 authors involved in endoscope on EGC.

In addition, a network map among authors was constructed using VOSviewer software (Figure 5). This network map shows the cooperation among authors. Each circle represents an author, and the lines between the circles represent the relationship between authors. The connection network shown in various colors indicates clusters of cooperation among different authors (28, 29). The shorter the link, the stronger the connection between authors is. As shown in Figure 5, authors were divided into various colors and connected by links. Japanese authors are closely connected on a small scale, but there is also considerable overall; furthermore, these networks have the largest number of authors. Oda, Ichiro, Yao, Kenshi, Uedo, and Noriya are Japanese authors who were included in the top 10 authors; they are included in this map and have large circles. South Korean authors were also closely connected and had the second-highest number of authors. Chinese authors had the third highest number of authors, but they were not as closely connected as authors in Japan and South Korea. Authors from Japan, South Korea, and China are not very connected.

FIGURE 5
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Figure 5 Network map of authors in endoscope on EGC researchers.

Distributions of hotspots and frontiers

Keywords represent the key points or the cores of a paper. Analyzing keywords and their connections helps researchers track knowledge development and find direct and popular topics (25). Recently, co-occurrence analysis has been commonly used to find hotspots and frontiers in specific fields, and it has proven to be significant in academic research. In the co-occurrence map, each circle represents a keyword, and the links between the circles represent connections. A larger circle and a thicker link represent a higher frequency of occurrence and a stronger connection. Different colors on the map represent different clusters. Items of the same color are in the same cluster.

Of the included 1,009 papers, 2,082 keywords exist. Among them, 92 items were used more than 15 times in papers. The most used items were “endoscopic submucosal dissection” (448 times), “diagnosis” (168 times), “endoscopic mucosal resection” (166 times), “outcomes” (164 times), and “risk factors” (122 times). Figure 6 shows the network and overlay visualizations of keywords. They were mainly divided into four clusters: the green cluster represents “etiology,” the yellow cluster represents “endoscopic diagnosis,” the red cluster represents “endoscopic therapy,” and the blue cluster represents “others (reviews or case reports)” (Figure 6A).

FIGURE 6
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Figure 6 (A) Network visualization of keywords; (B) Overlay visualization of keywords.

As shown in Figure 6B, researchers mainly focused on etiologies such as “H. pylori,” “atrophic gastritis,” and “intestinal metaplasia” in the early years. Over time, the focus shifted to endoscopic therapy and novel endoscopic diagnosis methods such as “artificial intelligence” (AI) and “convolutional neural networks” (CNNs).

We divided papers into the above four topics according to the main research contents, themes, and types of manuscripts as well: “etiology” topic (76), “endoscopic diagnosis” topic (271), “endoscopic therapy” topic (402) and “others (reviews or case reports)” topic (260). Figure 7 shows research trends for each topic over the past 20 years. Papers related to “endoscopic diagnosis,” “endoscopic therapy,” and “others (reviews or case reports)” continuously increased. After 2017, papers on the “others (reviews or case reports)” topic decreased. In contrast, the number of papers on the “etiology” topic remained unchanged.

FIGURE 7
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Figure 7 Annual research trend of publications of endoscopes on EGC over the past 20 years.

We also performed additional keyword analysis on topics 1 (“endoscopic diagnosis”) and 2 (“endoscopic therapy”) for further analysis using VOSviewer. For papers classified into topic 1 (“endoscopic diagnosis”), there were 808 total keywords, and 67 items were used more than five times. To identify the research, we excluded the research keywords “early gastric cancer” and “endoscopy.” Figure 8A shows the overlay visualization of topic 1 (“endoscopic diagnosis”). In the early stages, the items “intestinal metaplasia” (which appeared 25 times), “Helicobacter pylori infection” (which appeared 13 times), and “high-grade dysplasia” (which appeared nine times) appeared. Then, the items “narrow-band imaging” (30 times), “classification” (used 13 times), and “endoscopic diagnosis” (eight times) appeared. The latest trend showed that the keywords “AI” (used 23 times), “CNN” (13 times), and “deep learning” (used five times) would be the hotspots and frontiers in the coming years.

FIGURE 8
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Figure 8 (A) Overlay visualization of keywords in topic 1 “endoscopic diagnosis”; (B) Overlay visualization of keywords in topic 2 “endoscopic therapy”.

In the analysis of topic 2 (“endoscopic therapy”), 52 keywords were used more than 10 times among all 1,318 keywords (Figure 8B). Items “endoscopic mucosal resection” (90 times), “perforation” (18 times), and “en bloc resection” (16 times) were in the early stage, followed by the items “endoscopic submucosal dissection” (240 times), “outcomes” (88 times), and “surveillance” (16 times) over time. The keywords “Helicobacter pylori eradication” (used 11 times) and “2nd-look endoscopy” (used eight times) will be investigated the most in the future.

Discussion

In this study, bibliometric and visual analyses were performed to investigate the global research trends in endoscopy on EGC over the past 20 years. There was an increase in cumulative publications, especially in Asian countries. AI and deep learning, second-look endoscopy, and management are hotspots in endoscopic diagnosis and endoscopic therapy in current research.

EGC is an invasive gastric cancer that occurs in the gastric mucosa and submucosa layer, with or without lymph node metastasis, and it affects patient prognosis (30). In the early stages, due to the limited development of endoscopy, gastric cancer is often detected in the advanced stage, so surgical treatments are the only options. However, complications of surgery include perforation, bleeding, and infection. Clinicians have gradually noticed the applications of the use of endoscopy for EGC with its development. Since entering the 21st century, researchers have focused on the use of endoscopy for EGC, such as endoscopic diagnosis and therapy, and applied the research results to the clinic. This helps patients with early detection and diagnosis of gastric cancer, prolong life, and improve quality of life (31, 32).

Bibliometric analysis was used to explore the current situation and characteristics of specific fields and confirm the hotspots by visualizing the bibliometric data (33, 34). WoSCC includes more scientific publications and provides an overall data source for bibliometric software. Hence, WoSCC is the most used database for bibliometric analysis. In this study, we analyzed the bibliometric data on endoscopy and EGC over the past 20 years. The number of publications increased and reached a maximum of 107 in 2021. In addition, 70% of the top 10 papers were published in journals in Q1 or Q2. These findings reflect the fact that an increasing number of scientists have noticed the importance and necessity of the use of endoscopy for EGC (30, 35, 36). The top three countries in terms of the number of publications were Japan, South Korea, and China, which are all Asian countries. The incidence and prevalence of gastric cancer are characterized by complex geographical changes and are highest in Central and Eastern Asia (1, 37). The Correa hypothesis suggests that people exert considerable effort in high-risk countries to delay gastric carcinogenesis (25). Asian countries attach greater importance to the use of endoscopy for EGC than European countries. This is consistent with the epidemiological status and hypothesis. According to the number of publications, China has made considerable progress in recent years in this field, but there is still a gap between China, Japan, and the USA in terms of highly cited papers, thus requiring further development (15, 16).

Network and overlay visualizations reveal the frequency and connections among keywords, countries, institutions, and authors, which visualize data (38). Asian countries were more connected than European countries. This is possibly due to the differences in the prevalence of EGC (39). Japanese authors and institutions are connected more closely with each other than in other countries. Japan also has authors who have published the largest number of papers and had the highest centrality. This suggests that tight connections among authors, institutions, countries, and regions are essential for the development of academic research. Close connections contribute to promoting scientific progress.

Keywords are the core and central of papers. They summarize and represent the main content, academic ideas, and final conclusions. By analyzing the keywords of a large number of papers, researchers can generalize the current status and situation (29). Of the included papers, 2,082 keywords exist, and 92 items were used more than 15 times in the papers. From the point of view of keywords and time evolution, endoscopic diagnosis and therapy are hotspots on EGC. The number of publications on different topics also shows that. Recently, an increasing number of researchers have focused on novel technical methods such as AI and CNN with the development of endoscopic techniques (6, 4042). The excellent veracity and sensitivity of AI were proven. The results indicate that we should focus on novel endoscopic techniques in the future.

Regarding endoscopic diagnosis, AI, CNN, and deep learning were hotspots. In recent years, AI in the field of endoscopy has been a new area of interest. Hirasawa et al. reported that the sensitivities of using AI for white light endoscopy and magnifying narrow band imaging were 92% and 97%, respectively (43). A meta-analysis written by Jiang stated that the sensitivity and specificity of AI in detecting EGC were not low, at 86% and 93%, respectively (44). Additionally, some researchers have also suggested that, compared to experienced endoscopists, AI is neither inferior nor superior (45). Wu et al. invented a novel system to diagnose EGC called ENDOANGEL, which was promising in detecting EGC (46). In conclusion, although the results of our study show that recent studies have focused on AI, CNN, and some other novel endoscopic techniques in diagnosing EGC, it is important to correctly define the roles of AI and the balance of AI between clinical endoscopists.

ESD and EMR are commonly used for EGC treatment in the clinic, while EGC patients have a high risk of complications, including developing synchronous and metachronous gastric lesions (MGLs) after curative endoscopic therapy (47). The bibliometric analysis performed herein using VOSviewer software showed that researchers were mainly concerned with 2nd-look endoscopy and management after endoscopic therapy. Ortigao et al. (48) discussed how to manage EGC after endoscopic therapy to improve quality of life. Sekiguchi (49) also evaluated better methods of management for elderly EGC patients in Japan. These findings imply that reexamination and management after endoscopic therapy are as beneficial as the endoscopic process itself.

In addition to AI, deep learning, and other hotspots, we found that H. pylori eradication, 2nd-look endoscopy and management, gastric cancer screening, and the cost-effectiveness of endoscopy have gradually become hot research topics in recent years through bibliometric analysis. Wang et al. (50) found that eradication of H. pylori could prevent postoperative recurrence of EGC and prolong the overall survival of EGC patients. Shichijo et al. (51) showed that timely eradication of H. pylori also increased the risk of developing gastric cancer. Therefore, timely and effective detection and management of high-risk groups, as well as 2nd-look endoscopy, are necessary. In addition, the cost-effectiveness of endoscopy should be considered. The use of appropriate risk screening and prediction systems, such as the new gastric cancer screening scoring system (NGCS), can provide an important basis for decision-makers to formulate and optimize EGC prevention and control policies and save on health care costs (52).

There are some limitations to this study and various factors influencing the research results as well. First, we only retrieved papers from WoSCC, which may lead to incomplete searches. Second, we only included papers published in English, and thus, some papers published in other languages may be missed. Third, selection bias cannot be ignored, although two persons reviewed and screened the initial papers. A search based on keywords and abstracts means that a small number of manuscripts dealing with EGC may not be identified. Finally, since many authors have the same initials and some keywords are expressed differently, even though we have standardized them, there may still be bias. Therefore, the results and conclusions should be considered considering all the limitations and influencing factors mentioned above. Even so, this study still discussed the research trends in endoscopy on EGC over the past 20 years through bibliometric analysis in a comprehensive way to some extent, which is helpful to understand the development of endoscopy on EGC and the possible hotspots in the future.

The current study analyzed global research trends in the use of endoscopy for EGC. The results show that EGC research is gaining traction, with an increasing trend in the average number of papers published each year. Our study shows that research on EGC focuses on AI, CNN, and deep learning for the early screening and diagnosis of the disease. In addition, it is of great significance to apply the research results in the clinic in the future. The results of this study will help readers understand the research status of EGC, provide research direction and ideas for clinic researchers, and provide support for future clinical trials to help improve the quality of life for patients with EGC.

Conclusions

In conclusion, this study analyzed global research trends in the use of endoscopy for EGC over the past 20 years. The results revealed an increase in cumulative publications, especially in Asian countries. The use of endoscopy for diagnosis and therapy was the focus of publications. AI, CNN, and deep learning were hotspots in endoscopic diagnosis. Reexamination and management after endoscopic therapy were necessary and essential as well.

Data availability statement

Publicly available datasets were analyzed in this study. This data can be found here: The datasets generated for this study can be found in DOI: https://data.mendeley.com/datasets/h4v878vgks/1.

Author contributions

Conceptualization, SL and NZ. Methodology, SL. Software, SL and YH. Validation, SL and YH. Formal Analysis, SL. Investigation, SL and NZ. Resources, NZ. Data Curation, SL. Writing—Original Draft Preparation, SL. Writing—Review and Editing, SL and NZ. Visualization, SL. Supervision, PL. Project Administration, NZ and PL. Funding Acquisition, PL. All authors contributed to the article and approved the submitted version.

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.

Acknowledgments

We thank the AJE (https://china.aje.com/cn/researcher) for linguistic assistance and English language editing.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abbreviations

EGC, early gastric cancer; AI, artificial intelligence; CNN, convolutional neural network; ESD, endoscopic submucosal dissection; EMR, endoscopic mucosal resection; WoSCC, Web of Science Core Collection; JCI, journal citation indicator; CNCI, category normalized citation impact; MGLs, metachronous gastric lesions; NGCS, new gastric cancer screening scoring system.

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Keywords: early gastric cancer, endoscope, bibliometric analysis, VOSviewer, hotspots

Citation: Liu S, Zhang N, Hao Y and Li P (2023) Global research trends of endoscope in early gastric cancer: A bibliometric and visualized analysis study over past 20 years. Front. Oncol. 13:1068747. doi: 10.3389/fonc.2023.1068747

Received: 13 October 2022; Accepted: 22 March 2023;
Published: 06 April 2023.

Edited by:

Hee Sung Kim, Chung-Ang University, Republic of Korea

Reviewed by:

Somchai Amornyotin, Mahidol University, Thailand
Zhen Li, Qilu Hospital, Shandong University, China
Kazuo Yashima, Tottori University, Japan
Filipe De Castro E. Borges, Champalimaud Foundation, Portugal

Copyright © 2023 Liu, Zhang, Hao and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Peng Li, lipeng@ccmu.edu.cn

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