Ye Xian-Wen, Zhang Hai-Xia, Li Qian, Li Chun-Shuai, Zhao Chong-Jun, Xia Liang-Jing, Ren Hong-Min, Wang Xu-Xing, Yang Chao, Wang Yu-Jie, Jiang Shui-Lan, Xu Xin-Fang, Li Xiang-Ri
Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.
School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, Jiangxi Province, China.
World J Diabetes. 2025 May 15;16(5):91200. doi: 10.4239/wjd.v16.i5.91200.
Diabetic encephalopathy (DE) is a common and serious complication of diabetes that can cause death in many patients and significantly affects the lives of individuals and society. Multiple studies investigating the pathogenesis of DE have been reported. However, few studies have focused on scientometric analysis of DE.
To analyze literature on DE using scientometrics to provide a comprehensive picture of research directions and progress in this field.
We reviewed studies on DE or cognitive impairment published between 2004 and 2023. The latter were used to identify the most frequent keywords in the keyword analysis and explore the hotspots and trends of DE.
Scientometric analysis revealed 1308 research papers on DE, a number that increased annually over the past 20 years, and that the primary topics explored were domain distribution, knowledge structure, evolution, and emergence of research topics related to DE. The inducing factors, comorbidities, pathogenesis, treatment, and animal models of DE help clarify its occurrence, development, and treatment. An increasing number of studies on DE may be a result of the recent increase in patients with diabetes, unhealthy lifestyles, and unhealthy eating habits, which have aggravated the incidence of this disease.
We identified the main inducing factors and comorbidities of DE, though other complex factors undoubtedly increase social and economic burdens. These findings provide vital references for future studies.
糖尿病性脑病（DE）是糖尿病常见且严重的并发症，可导致许多患者死亡，对个人和社会生活产生重大影响。已有多项关于DE发病机制的研究报道。然而，很少有研究聚焦于DE的科学计量学分析。
运用科学计量学分析DE相关文献，全面呈现该领域的研究方向和进展。
我们回顾了2004年至2023年间发表的关于DE或认知障碍的研究。后者用于在关键词分析中确定最频繁出现的关键词，并探索DE的热点和趋势。
科学计量学分析显示有1308篇关于DE的研究论文，在过去20年中该数量逐年增加，且所探索的主要主题包括与DE相关的领域分布、知识结构、演变以及研究主题的出现。DE的诱发因素、合并症、发病机制、治疗方法和动物模型有助于阐明其发生、发展和治疗情况。关于DE的研究数量增加可能是由于近期糖尿病患者数量上升、不健康的生活方式和饮食习惯加剧了该疾病的发病率。
我们确定了DE的主要诱发因素和合并症，尽管其他复杂因素无疑增加了社会和经济负担。这些发现为未来的研究提供了重要参考。
