Hu Wenjin, Yang Jiyong, Liu Li, Li Dongchao, Zhao Yun, Wang Aiguo
Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China.
The Fifth Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Cartilage. 2024 Oct 18:19476035241288660. doi: 10.1177/19476035241288660.
This study aimed to comprehensively analyze the landscape of osteoarthritis (OA) biomarker research through the citation analysis of top-cited articles, identifying trends and gaps in this field.
The Web of Science Core Collection was utilized to retrieve the top 50 cited articles on OA biomarkers. Data extraction included publication characteristics, citation metrics, and biomarker categorization. Statistical analyses were conducted to discern correlations and assess significance.
The top 50 cited articles spanned the years 1999 to 2020, and collectively cited 4849 articles, accumulating a total of 6177 citations, resulting in an average of 123.5 citations per document. Citations per article varied between 78 and 359, with a citation density ranging from 3.9 to 23.93. Analysis of the top 50 cited articles revealed comparable impact between recent and older publications. Predominant trends included cartilage-related and blood-based biomarkers, while inflammation-related, radiomics, and multi-omics emerged as potential future research directions. In BIPEDS classification, gaps were identified in biomarkers evaluating intervention efficacy and safety.
Despite significant advancements, there is no universally acknowledged biomarker for OA. Addressing gaps in biomarker exploration is crucial for enhancing OA management strategies. This study provides insights into prevailing trends and future research directions in OA biomarkers, guiding future investigations and therapeutic development.
本研究旨在通过对被引频次最高的文章进行引文分析，全面剖析骨关节炎（OA）生物标志物研究的现状，识别该领域的趋势和差距。
利用科学网核心合集检索关于OA生物标志物的被引频次最高的50篇文章。数据提取包括发表特征、引文指标和生物标志物分类。进行统计分析以辨别相关性并评估显著性。
被引频次最高的50篇文章发表于1999年至2020年，共引用了4849篇文章，累计被引6177次，平均每篇文献被引123.5次。每篇文章的被引次数在78至359次之间，引文密度在3.9至23.93之间。对被引频次最高的50篇文章的分析表明，近期和早期发表的文章影响力相当。主要趋势包括与软骨相关和基于血液的生物标志物，而与炎症相关、放射组学和多组学则成为潜在的未来研究方向。在BIPEDS分类中，评估干预疗效和安全性的生物标志物存在差距。
尽管取得了重大进展，但目前尚无被普遍认可的OA生物标志物。填补生物标志物探索中的差距对于加强OA管理策略至关重要。本研究为OA生物标志物的当前趋势和未来研究方向提供了见解，指导未来的研究和治疗发展。
