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炎症与甲状腺癌的文献计量分析:研究趋势与未来展望

A bibliometric analysis of inflammation and thyroid carcinoma: research trends and future perspectives.

作者信息

Feng Yanhui, Huang Caiqi, Liu Xiaoman, Xiao Zhesi, Wang Lu, Lu Zhengjia, Ming Jia

机构信息

Department of Breast and Thyroid Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

出版信息

Front Oncol. 2025 Aug 1;15:1593006. doi: 10.3389/fonc.2025.1593006. eCollection 2025.


DOI:10.3389/fonc.2025.1593006
PMID:40823082
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12353715/
Abstract

BACKGROUND AND OBJECTIVES: Thyroid carcinoma, one of the most prevalent endocrine malignancies, has witnessed a gradual increase in incidence in recent years. Accumulating evidence has demonstrated that inflammation plays a pivotal role in the pathogenesis, progression, and prognosis of thyroid carcinoma, with a significant association between certain malignancies and chronic inflammatory processes. This study conducts a bibliometric analysis of literature on inflammation and thyroid carcinoma over 24 years, aiming to identify trends and research dynamics. The findings are expected to deepen understanding of thyroid carcinoma mechanisms and guide new therapeutic strategies. METHODS: We used the advanced search function of the Web of Science Core Collection to systematically screen and curate articles on inflammation and thyroid carcinoma published between 2000 and 2024. Using Microsoft Excel 2019, we analyzed and visualized publication volume and growth trends. For co-occurrence and clustering analysis of countries, institutions, authors, journals, references, and keywords, we employed VOSviewer, CiteSpace, and the 'bibliometrix' package in R. Keyword visualization identified 10 major clusters, including sodium iodide symporter, total thyroidectomy, peroxisome proliferator-activated receptor, papillary thyroid microcarcinoma, therapeutic radiopharmaceuticals, zoological gardens, endoscopic thyroidectomy, mixed cryoglobulinemia, fine needle aspiration, and clinical evaluation. The most frequent keywords were cancer, thyroid cancer, and inflammation. RESULTS: We included a total of 1,441 articles published between 2000 and 2024, contributed by 8,326 authors from 2,054 institutions across 70 countries. These articles were published in 625 journals, encompassing 59,808 references and 6,340 keywords. The publication output demonstrated a consistent upward trend over the study period. Among the contributing nations, China emerged as the most prolific country in terms of publication volume. The leading institution was the University of Pisa in Italy. The most productive author was Antonelli, Alessandro, and the leading journal was . CONCLUSION: This bibliometric analysis shows that research on inflammation and thyroid carcinoma is a rapidly evolving field, marked by diverse themes and in-depth studies. Advances in technology and extensive research are expected to clarify how inflammation drives thyroid carcinoma initiation and progression. This deeper understanding will lead to new approaches in diagnosis, prevention, and treatment of thyroid carcinoma.

摘要

背景与目的:甲状腺癌是最常见的内分泌恶性肿瘤之一,近年来其发病率呈逐渐上升趋势。越来越多的证据表明,炎症在甲状腺癌的发病机制、进展及预后中起关键作用,某些恶性肿瘤与慢性炎症过程之间存在显著关联。本研究对24年来关于炎症与甲状腺癌的文献进行文献计量分析,旨在确定研究趋势和动态。研究结果有望加深对甲状腺癌机制的理解,并指导新的治疗策略。 方法:我们使用Web of Science核心合集的高级搜索功能,系统筛选和整理2000年至2024年发表的关于炎症与甲状腺癌的文章。使用Microsoft Excel 2019分析并可视化发表量及增长趋势。对于国家、机构、作者、期刊、参考文献和关键词的共现及聚类分析,我们使用VOSviewer、CiteSpace以及R语言中的“bibliometrix”包。关键词可视化确定了10个主要聚类,包括碘化钠转运体、全甲状腺切除术、过氧化物酶体增殖物激活受体、甲状腺微小乳头状癌、治疗性放射性药物、动物园、内镜甲状腺切除术、混合性冷球蛋白血症、细针穿刺活检以及临床评估。出现频率最高的关键词是癌症、甲状腺癌和炎症。 结果:我们共纳入2000年至2024年发表的1441篇文章,这些文章由来自70个国家2054个机构的8326位作者撰写。这些文章发表在625种期刊上,包含59808条参考文献和6340个关键词。在研究期间,发表量呈持续上升趋势。在贡献国家中,中国是发表量最多的国家。领先的机构是意大利的比萨大学。产出最多的作者是安东内利·亚历山德罗,领先的期刊是《》。 结论:本文献计量分析表明,关于炎症与甲状腺癌的研究是一个快速发展的领域,具有多样的主题和深入的研究。技术进步和广泛的研究有望阐明炎症如何驱动甲状腺癌的发生和发展。这种更深入的理解将为甲状腺癌的诊断、预防和治疗带来新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/571a92a92e10/fonc-15-1593006-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/1b2263182374/fonc-15-1593006-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/8f7b9629f4c2/fonc-15-1593006-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/ebab7d0b1987/fonc-15-1593006-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/89a57b711d9b/fonc-15-1593006-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/273e73eb2af0/fonc-15-1593006-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/709e92c827c5/fonc-15-1593006-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/c390ff6f1a68/fonc-15-1593006-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/4d7a0cf58d52/fonc-15-1593006-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/571a92a92e10/fonc-15-1593006-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/1b2263182374/fonc-15-1593006-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/8f7b9629f4c2/fonc-15-1593006-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/ebab7d0b1987/fonc-15-1593006-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/89a57b711d9b/fonc-15-1593006-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/273e73eb2af0/fonc-15-1593006-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/709e92c827c5/fonc-15-1593006-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/c390ff6f1a68/fonc-15-1593006-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/4d7a0cf58d52/fonc-15-1593006-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b40/12353715/571a92a92e10/fonc-15-1593006-g009.jpg

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