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骨质疏松症的研究趋势与热点:2014年至2023年长达十年的文献计量学与可视化分析

Research trends and hotspots on osteoporosis: a decade-long bibliometric and visualization analysis from 2014 to 2023.

作者信息

Zhang Song, Liu Ye, Yu Weifeng, Gu Xiyao

机构信息

Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Key Laboratory of Anesthesiology (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China.

出版信息

Front Med (Lausanne). 2024 Aug 29;11:1436486. doi: 10.3389/fmed.2024.1436486. eCollection 2024.

DOI:10.3389/fmed.2024.1436486
PMID:39267978
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11390546/
Abstract

BACKGROUND

Osteoporosis is characterized by diminished bone density and quality, compromised bone microstructure, and increased bone fragility, culminating in a heightened risk of fracture. Relatively few attempts have been made to survey the breadth of osteoporosis research using bibliometric approaches. This study aims to delineate the current landscape of osteoporosis research, offering clarity and visualization, while also identifying potential future directions for investigation.

METHODS

We retrieved and filtered articles and reviews pertaining to osteoporosis from the Web of Science Core Collection database, specifically the Science Citation Index Expanded (SCI-E) edition, spanning the years 2014 to 2023. Informatics tools such as CiteSpace and VOSviewer were employed to dissect the intellectual framework, discern trends, and pinpoint focal points of interest within osteoporosis research.

RESULTS

Our dataset comprised 33,928 osteoporosis-related publications, with a notable surge in annual publication numbers throughout the last decade. China and the United States lead in terms of research output. The University of California System contributed substantially to this body of work, with Amgen demonstrating the highest degree of centrality within the network. Cooper Cyrus emerged as a pivotal figure in the field. An analysis of highly-cited studies, co-citation networks, and keyword co-occurrence revealed that recent years have predominantly concentrated on elucidating mechanisms underlying osteoporosis, as well as its diagnosis, prevention, and treatment strategies. Burst detection analyses of citations and keywords highlighted osteoblasts, sarcopenia, gut microbiota, and denosumab as contemporary hotspots within osteoporosis research.

CONCLUSION

This bibliometric analysis has provided a visual representation of the fundamental knowledge structure, prevailing trends, and key focal areas within osteoporosis research. The identification of osteoblasts, sarcopenia, gut microbiota, and denosumab as current hotspots may guide future research endeavors. Continued efforts directed at understanding the mechanisms, fracture outcomes, diagnostics, and therapeutics related to osteoporosis are anticipated to deepen our comprehension of this complex disease.

摘要

背景

骨质疏松症的特征是骨密度和质量降低、骨微结构受损以及骨脆性增加,最终导致骨折风险升高。相对较少有人尝试使用文献计量学方法来全面调查骨质疏松症的研究情况。本研究旨在描绘当前骨质疏松症研究的全貌,提供清晰的图景和可视化展示,同时确定未来潜在的研究方向。

方法

我们从科学网核心合集数据库,特别是2014年至2023年的科学引文索引扩展版(SCI-E)中检索并筛选了与骨质疏松症相关的文章和综述。使用CiteSpace和VOSviewer等信息学工具来剖析知识框架、辨别趋势并确定骨质疏松症研究中的关注焦点。

结果

我们的数据集包含33928篇与骨质疏松症相关的出版物,在过去十年中年度出版物数量显著增加。中国和美国在研究产出方面领先。加利福尼亚大学系统对这项工作贡献巨大,安进公司在网络中显示出最高的中心度。库珀·赛勒斯成为该领域的关键人物。对高被引研究、共被引网络和关键词共现的分析表明,近年来主要集中在阐明骨质疏松症的潜在机制及其诊断、预防和治疗策略。对引文和关键词的突发检测分析突出了成骨细胞、肌肉减少症、肠道微生物群和地诺单抗作为骨质疏松症研究中的当代热点。

结论

这项文献计量分析提供了骨质疏松症研究的基础知识结构、主要趋势和关键重点领域的可视化呈现。将成骨细胞、肌肉减少症、肠道微生物群和地诺单抗确定为当前热点可能会指导未来的研究工作。预计继续致力于理解与骨质疏松症相关机制、骨折结果、诊断和治疗方法,将加深我们对这种复杂疾病的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aee/11390546/dc848b08ba56/fmed-11-1436486-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aee/11390546/e93466a5aa79/fmed-11-1436486-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aee/11390546/5886a06f5ac3/fmed-11-1436486-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aee/11390546/32513c86acf3/fmed-11-1436486-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aee/11390546/dc848b08ba56/fmed-11-1436486-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aee/11390546/e93466a5aa79/fmed-11-1436486-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aee/11390546/53662496205f/fmed-11-1436486-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aee/11390546/25a57185036a/fmed-11-1436486-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aee/11390546/69aae49880bd/fmed-11-1436486-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aee/11390546/32513c86acf3/fmed-11-1436486-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aee/11390546/dc848b08ba56/fmed-11-1436486-g007.jpg

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