Suppr超能文献

2004年至2023年肺癌骨转移研究的文献计量分析。

Bibliometric analysis of bone metastases from lung cancer research from 2004 to 2023.

作者信息

Tang Jing, Gu Zhangui, Yang Zongqiang, Ma Long, Liu Qiang, Shi Jiandang, Niu Ningkui, Wang Yanyang

机构信息

Department of Radiotherapy, General Hospital of Ningxia Medical University, Yinchuan, China.

Department of Orthopedic, General Hospital of Ningxia Medical University, Yinchuan, China.

出版信息

Front Oncol. 2024 Aug 6;14:1439209. doi: 10.3389/fonc.2024.1439209. eCollection 2024.

Abstract

BACKGROUND

Bone metastases of lung cancer (BMLC) severely diminish patients' quality of life due to bone-related events, and the lack of clear guidelines globally regarding medical and surgical treatment significantly reduces patient survival. While knowledge about BMLC has grown exponentially over the past two decades, a comprehensive and objective bibliometric analysis remains absent.

METHODS

A comprehensive bibliometric analysis was conducted on relevant literature on BMLC extracted from the Web of Science database from 2004 to 2023 by Biblioshiny, VOSviewer, Scimago Graphica, CiteSpace, and Microsoft Office Excel Professional Plus 2016 software. 936 papers related to BMLC were extracted from the Web of Science Core Collection (WoSCC). The number of publications, countries, institutions, global collaborations, authors, journals, keywords, thematic trends, and cited references were then visualized. Finally, the research status and development direction in the last 20 years were analyzed.

RESULTS

This study included a total of 936 papers on BMLC from 2004 to 2023. There has been a steady increase in global publications each year, peaking in 2021. China had the highest number of publications, followed by Japan and the United States. Additionally, China had the most citations with an H-index of 35, while the US followed with an H-index of 34, highlighting their significant contributions to the field. "Frontiers in Oncology" had the highest number of publications. CiteSpace analysis identified "lung cancer," "bone metastasis," and "survival" as the top high-frequency keywords, encapsulating the core research focus. Keyword clustering analysis revealed six main clusters representing the primary research directions. Burst analysis of keywords showed that "skeletal complications" had the highest burst intensity from 2005 to 2013, while recent research trends include "immunotherapy" and "denosumab," with bursts from 2021 to 2023. Trend topic analysis indicated that "non-small cell lung cancer," "immunotherapy," and "immune checkpoint inhibitors" represent the cutting-edge research directions in this field.

CONCLUSION

This article reveals the current status and trend of research on BMLC, which is increasing worldwide. China and the United States have contributed the most, but international cooperative research on BMLC should be strengthened. The pathogenesis, early prevention, and individualized treatment of BMLC need to be strengthened for further study, and immunotherapy is the next hotspot of lung cancer bone metastasis research.

摘要

背景

肺癌骨转移(BMLC)因骨相关事件严重降低患者生活质量,且全球缺乏关于药物和手术治疗的明确指南,显著降低了患者生存率。尽管在过去二十年中,关于BMLC的知识呈指数级增长,但仍缺乏全面客观的文献计量分析。

方法

使用Biblioshiny、VOSviewer、Scimago Graphica、CiteSpace和Microsoft Office Excel Professional Plus 2016软件,对2004年至2023年从Web of Science数据库中提取的有关BMLC的相关文献进行全面的文献计量分析。从Web of Science核心合集(WoSCC)中提取了936篇与BMLC相关的论文。然后对出版物数量、国家、机构、全球合作、作者、期刊、关键词、主题趋势和被引参考文献进行可视化展示。最后分析过去20年的研究现状和发展方向。

结果

本研究共纳入2004年至2023年关于BMLC的936篇论文。全球每年的出版物数量稳步增加,在2021年达到峰值。中国的出版物数量最多,其次是日本和美国。此外,中国的被引次数最多,H指数为35,美国以H指数34紧随其后,凸显了它们对该领域的重大贡献。《肿瘤前沿》的出版物数量最多。CiteSpace分析确定“肺癌”“骨转移”和“生存”为高频关键词之首,概括了核心研究重点。关键词聚类分析揭示了代表主要研究方向的六个主要聚类。关键词的突发分析表明,“骨骼并发症”在2005年至2013年期间突发强度最高,而近期的研究趋势包括“免疫疗法”和“地诺单抗”,在2021年至2023年期间出现突发。趋势主题分析表明,“非小细胞肺癌”“免疫疗法”和“免疫检查点抑制剂”代表了该领域的前沿研究方向。

结论

本文揭示了BMLC的研究现状和趋势,该研究在全球范围内呈上升趋势。中国和美国的贡献最大,但应加强BMLC的国际合作研究。BMLC的发病机制、早期预防和个体化治疗需要进一步加强研究,免疫疗法是肺癌骨转移研究的下一个热点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3a2/11333251/88454f175950/fonc-14-1439209-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验