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胃肠道肿瘤风险评估的趋势与热点:1984年至2022年的文献计量分析

Trends and hotspots in gastrointestinal neoplasms risk assessment: A bibliometric analysis from 1984 to 2022.

作者信息

Fu Qiang-Qiang, Ma Le, Niu Xiao-Min, Zhao Hua-Xin, Ge Xu-Hua, Jin Hua, Yu De-Hua, Yang Sen

机构信息

Department of General Practice, Yangpu Hospital, School of Medicine, Tongji University, Shanghai 200090, China.

Shanghai General Practice and Community Health Development Research Center, Shanghai 200090, China.

出版信息

World J Gastrointest Oncol. 2024 Jun 15;16(6):2842-2861. doi: 10.4251/wjgo.v16.i6.2842.

DOI:10.4251/wjgo.v16.i6.2842
PMID:38994129
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11236220/
Abstract

BACKGROUND

Gastrointestinal neoplasm (GN) significantly impact the global cancer burden and mortality, necessitating early detection and treatment. Understanding the evolution and current state of research in this field is vital.

AIM

To conducts a comprehensive bibliometric analysis of publications from 1984 to 2022 to elucidate the trends and hotspots in the GN risk assessment research, focusing on key contributors, institutions, and thematic evolution.

METHODS

This study conducted a bibliometric analysis of data from the Web of Science Core Collection database using the "bibliometrix" R package, VOSviewer, and CiteSpace. The analysis focused on the distribution of publications, contributions by institutions and countries, and trends in keywords. The methods included data synthesis, network analysis, and visualization of international collaboration networks.

RESULTS

This analysis of 1371 articles on GN risk assessment revealed a notable evolution in terms of research focus and collaboration. It highlights the United States' critical role in advancing this field, with significant contributions from institutions such as Brigham and Women's Hospital and the National Cancer Institute. The last five years, substantial advancements have been made, representing nearly 45% of the examined literature. Publication rates have dramatically increased, from 20 articles in 2002 to 112 in 2022, reflecting intensified research efforts. This study underscores a growing trend toward interdisciplinary and international collaboration, with the Journal of Clinical Oncology standing out as a key publication outlet. This shift toward more comprehensive and collaborative research methods marks a significant step in addressing GN risks.

CONCLUSION

This study underscores advancements in GN risk assessment through genetic analyses and machine learning and reveals significant geographical disparities in research emphasis. This calls for enhanced global collaboration and integration of artificial intelligence to improve cancer prevention and treatment accuracy, ultimately enhancing worldwide patient care.

摘要

背景

胃肠道肿瘤(GN)对全球癌症负担和死亡率有重大影响,因此需要早期检测和治疗。了解该领域的研究进展和现状至关重要。

目的

对1984年至2022年发表的文献进行全面的文献计量分析,以阐明GN风险评估研究的趋势和热点,重点关注主要贡献者、机构和主题演变。

方法

本研究使用“bibliometrix”R包、VOSviewer和CiteSpace对来自科学引文索引核心合集数据库的数据进行文献计量分析。分析重点包括出版物的分布、机构和国家的贡献以及关键词趋势。方法包括数据综合、网络分析和国际合作网络可视化。

结果

对1371篇关于GN风险评估的文章的分析揭示了研究重点和合作方面的显著演变。它突出了美国在推动该领域发展中的关键作用,布莱根妇女医院和美国国立癌症研究所等机构做出了重大贡献。在过去五年中取得了重大进展,占所审查文献的近45%。发表率大幅提高,从2002年的20篇增至2022年的112篇,反映出研究力度加大。本研究强调了跨学科和国际合作的趋势日益增强,《临床肿瘤学杂志》是主要的出版平台。这种向更全面和合作的研究方法的转变标志着在应对GN风险方面迈出了重要一步。

结论

本研究强调了通过基因分析和机器学习在GN风险评估方面取得的进展,并揭示了研究重点上存在的显著地理差异。这需要加强全球合作并整合人工智能,以提高癌症预防和治疗的准确性,最终改善全球患者护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c38/11236220/acdcff870d05/WJGO-16-2842-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c38/11236220/537eefb6213d/WJGO-16-2842-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c38/11236220/4c5e3840a278/WJGO-16-2842-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c38/11236220/6072e99237a3/WJGO-16-2842-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c38/11236220/903db8048c15/WJGO-16-2842-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c38/11236220/acdcff870d05/WJGO-16-2842-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c38/11236220/537eefb6213d/WJGO-16-2842-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c38/11236220/4c5e3840a278/WJGO-16-2842-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c38/11236220/6072e99237a3/WJGO-16-2842-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c38/11236220/903db8048c15/WJGO-16-2842-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c38/11236220/acdcff870d05/WJGO-16-2842-g005.jpg

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