100 篇高被引糖尿病肾病文献的计量分析。

BACKGROUND: Tremendous scientific researches have been conducted in the field of diabetic kidney disease (DKD), while few bibliometric analyses have been performed. We aim to identify 100 top-cited published articles about DKD and analyze their main characteristics quantitatively. METHODS: Web of Science was searched with the term 'diabetic kidney disease' OR 'diabetic nephropathy' to identify the top 100 most cited articles. For articles meeting the predefined criteria, the following data were extracted and analyzed: citation ranking, publication year, publication journal, journal impact factor, country and institution, authors, study type, and keywords. RESULTS: The highest number of citations was 4753 times. The median average citations per year was 21.8 (IQR, 16.6-33.0). Most articles focused on the pathogenesis and treatment. These articles were published in 25 different journals and the published the greatest number (20%). Forty-three articles (43%) originated from the United States. The University of Groningen was the leading institute, contributing five top-cited articles. The most frequent first author was de Zeeuw ( = 4), followed by Parving ( = 3). There was no correlation between the average citations and the number of authors, the number of institutes, or the number of funds, respectively. Experimental animal study was the research type most frequently conducted ( = 30), followed by observational study ( = 24). Keyword analysis revealed transforming growth factor-β, oxidative stress, proteinuria, and renin-angiotensin-aldosterone system interruption are classic research topics. Sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide 1 receptor agonists, and anti-inflammatory agents are the emerging trends of DKD. CONCLUSIONS: This bibliometric analysis helps in identifying the milestones, inadequacies, classic hotspots, and emerging trends of DKD. Pathogenesis and treatment are core themes in DKD research, while high-quality articles on the prediction and biomarker are insufficient. New analyzing metrics are needed to assess the actual impact of these top-cited articles on clinical practice.

背景：糖尿病肾病（DKD）领域进行了大量的科学研究，但很少有文献计量学分析。我们旨在确定 100 篇关于 DKD 的高被引文章，并对其主要特征进行定量分析。

方法：通过检索“糖尿病肾病”或“糖尿病肾病”一词，在 Web of Science 上确定前 100 篇被引最多的文章。对于符合预定义标准的文章，提取并分析以下数据：引文排名、发表年份、发表期刊、期刊影响因子、国家和机构、作者、研究类型和关键词。

结果：最高被引次数为 4753 次。年平均被引中位数为 21.8（IQR，16.6-33.0）。大多数文章侧重于发病机制和治疗。这些文章发表在 25 种不同的期刊上，其中发表的文章最多（20%）。43 篇文章（43%）来自美国。格罗宁根大学是领先的机构，贡献了 5 篇高被引文章。最常出现的第一作者是 de Zeeuw（ = 4），其次是 Parving（ = 3）。平均引文与作者人数、机构数量或基金数量之间没有相关性。实验动物研究是最常进行的研究类型（ = 30），其次是观察性研究（ = 24）。关键词分析显示，转化生长因子-β、氧化应激、蛋白尿和肾素-血管紧张素-醛固酮系统阻断是经典的研究课题。钠-葡萄糖共转运蛋白 2 抑制剂、胰高血糖素样肽 1 受体激动剂和抗炎药是 DKD 的新兴趋势。

结论：这项文献计量分析有助于确定 DKD 的里程碑、不足、经典热点和新兴趋势。发病机制和治疗是 DKD 研究的核心主题，而关于预测和生物标志物的高质量文章则不足。需要新的分析指标来评估这些高被引文章对临床实践的实际影响。