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Global trends and hotspots of ulcerative colitis based on bibliometric and visual analysis from 1993 to 2022.
Wang, Jing; Mao, Tangyou; Zhou, Hengyu; Jiang, Xinqi; Zhao, Zhihui; Zhang, Xiaoqing.
Afiliação
  • Wang J; School of Life Sciences, Beijing University of Chinese Medicine, Beijing, P.R. China.
  • Mao T; Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
  • Zhou H; School of Life Sciences, Beijing University of Chinese Medicine, Beijing, P.R. China.
  • Jiang X; School of Life Sciences, Beijing University of Chinese Medicine, Beijing, P.R. China.
  • Zhao Z; School of Life Sciences, Beijing University of Chinese Medicine, Beijing, P.R. China.
  • Zhang X; School of Life Sciences, Beijing University of Chinese Medicine, Beijing, P.R. China.
Medicine (Baltimore) ; 103(5): e37095, 2024 Feb 02.
Article em En | MEDLINE | ID: mdl-38306541
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Colite Ulcerativa Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Medicine (Baltimore) Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Colite Ulcerativa Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Medicine (Baltimore) Ano de publicação: 2024 Tipo de documento: Article
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