SynthesisFrontiers in oncology2025
Current research status and hotspots of precancerous lesions of gastric cancer: a bibliometric analysis.
Synthesis in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Artificial intelligence in gastric cancer research: a bibliometric and visualized analysis from 1993 to 2026.Frontiers in oncology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Gastric cancer is the fifth most common cancer worldwide, and its lack of specific symptoms presents a significant challenge for early diagnosis. Therefore, the identification and detection of precancerous lesions of gastric cancer (PLGC) are essential for its prevention. We performed a comprehensive bibliometric analysis to explore the research trends and emerging topics in this field, aiming to deepen our understanding of PLGC. Objective: This study utilizes a bibliometric approach with network analysis to explore the progress and trends in PLGC research. The findings aim to provide a foundation and guidance for further in-depth investigations into PLGC. Methods: This study used VOSviewer and CiteSpace software to collect relevant literature on PLGC from the Web of Science Core Collection, covering the period from 2005 to 2024. Data visualization analysis was performed on the number of publications, countries, institutions, journals, authors, keywords, and citation counts of these articles. Results: A total of 1,141 relevant articles were included in the analysis. The results showed a year-on-year increase in the number of publications from 2005 to 2024. The country, institution, author, and journal with the highest publication output in this field were China, Peking University, Wei-Cheng You, and Conclusion: This bibliometric analysis highlights the hot topics and emerging trends in PLGC research, aiming to provide valuable guidance for future studies. Our findings indicate that mechanistic studies and clinical diagnosis will be key areas of focus in upcoming research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.