Global trends and hotspots of ulcerative colitis based on bibliometric and visual analysis from 1993 to 2022

被引:1
|
作者
Wang, Jing [1 ]
Mao, Tangyou [2 ]
Zhou, Hengyu [1 ]
Jiang, Xinqi [1 ]
Zhao, Zhihui [1 ]
Zhang, Xiaoqing [1 ]
机构
[1] Beijing Univ Chinese Med, Sch Life Sci, Beijing 102401, Peoples R China
[2] Beijing Univ Chinese Med, Dongfang Hosp, Beijing, Peoples R China
基金
美国国家科学基金会;
关键词
bibliometrics; global trends; hotspots; ulcerative colitis; visual analysis; INFLAMMATORY-BOWEL-DISEASE; FECAL MICROBIOTA TRANSPLANTATION; PLACEBO-CONTROLLED TRIAL; SUSCEPTIBILITY; ASSOCIATION; POPULATION; ACID;
D O I
10.1097/MD.0000000000037095
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Ulcerative colitis (UC) has seen a significant increase over the past 3 decades. However, our understanding of its etiology, pathogenesis, and pharmacological treatment remains limited. This comprehensive review aims to address these gaps by analyzing trends, evaluating previous research, and providing insights for future investigations. We conducted a bibliometric analysis of UC-related papers indexed in the Web of Science from 1993 to 2022. The author, organization, country, and keyword networks in the field of UC were visualized. A total of 36,483 papers were included, showing a continuous upward trend. Most research on UC was conducted in universities, with hospitals leading in high-quality studies. The United States emerged as the primary contributor, followed by China and the United Kingdom. The overall quality of UC-related publications improved, indicating sustained interest in the field. The keywords related to UC was classified into 9 clusters. Keywords detection revealed that UC research focused mainly on the discovery of its etiology and exploration of treatment methods, with research directions evolving from initial treatment of UC and related diseases to clinical trials of UC and subsequently incorporating genomics and bioinformatics techniques to study UC and explore new therapeutic methods and drugs, including recent advances in gut microbiota. Our study identified gaps in understanding the etiology, pathogenesis, and treatment of UC. Future research in UC should focus on genomics, personalized treatment, microbial therapy and leveraging machine learning and artificial intelligence. These areas hold the potential for improving UC diagnosis, treatment, and management.
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页数:11
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