Advances and global trends of precancerous lesions of gastric cancer: A bibliometric analysis

BACKGROUND Precancerous lesions of gastric cancer (PLGC) represent a critical pathological stage in the development of intestinal gastric cancer. Early detection and diagnosis are key to reducing the incidence of gastric cancer. Substantial advancements have been made in PLGC research in recent years, making it necessary to provide updated reviews using bibliometric methods. We hypothesize that this review will identify emerging trends, key research areas, and gaps in PLGC research, providing insights that could guide future studies and enhance prevention strategies. AIM To comprehensively review the current state of research on PLGC, examining development trends and research hotspots. METHODS We conducted a bibliometric analysis of PLGC-related studies published between 2004 and 2023 using the Web of Science Core Collection database. We employed Software, including VOSviewer, CiteSpace, R software, and SCImago Graphica, to map scientific networks and visualize knowledge trends in terms of publication volume, countries/regions, institutions, journals, authors, and keywords. RESULTS A total of 4097 articles were included, and overall publication volume showed an increasing trend. Over the past two decades, China published the most articles, followed by the United States, Japan, South Korea, and Italy. Among the top 10 contributors, the United States ranked highest in institutions, authors, and citations and demonstrated the strongest international collaboration. Research keywords in this field were clustered into three main categories: Risk factors, pathogenesis, and diagnosis and treatment. Pathogenesis and molecular biomarkers remain key areas of focus. Future research should explore the mechanisms of gut microbiota, immune microenvironment, metabolic reprogramming, and epigenetics. Advanced technologies, including single-cell sequencing, spatially resolved analysis, multi-omics approaches, artificial intelligence, and machine learning, will likely accelerate in-depth investigations of PLGC. CONCLUSION PLGC research has rapidly developed in recent years, gaining considerable attention. This bibliometric analysis reveals research state and emerging trends over the past 20 years, providing insights for future studies.