Research hotspot and trend analysis in the diagnosis of inflammatory bowel disease: A machine learning bibliometric analysis from 2012 to 2021

Chuan Liu; Rong Yu; Jixiang Zhang; Shuchun Wei; Fumin Xue; Yingyun Guo; Pengzhan He; Lining Shang; Weiguo Dong

doi:10.3389/fimmu.2022.972079

Research hotspot and trend analysis in the diagnosis of inflammatory bowel disease: A machine learning bibliometric analysis from 2012 to 2021

Front Immunol. 2022 Sep 14:13:972079. doi: 10.3389/fimmu.2022.972079. eCollection 2022.

Authors

Chuan Liu¹, Rong Yu¹, Jixiang Zhang¹, Shuchun Wei¹, Fumin Xue², Yingyun Guo¹, Pengzhan He¹, Lining Shang³, Weiguo Dong¹

Affiliations

¹ Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
² Department of Gastroenterology, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
³ Department of General Surgery, The 940th Hospital of Joint Logistic Support Force of Chinese People's Liberation Army, Lanzhou, China.

Abstract

Aims: This study aimed to conduct a bibliometric analysis of the relevant literature on the diagnosis of inflammatory bowel disease (IBD), and show its current status, hot spots, and development trends.

Methods: The literature on IBD diagnosis was acquired from the Science Citation Index Expanded of the Web of Science Core Collection. Co-occurrence and cooperation relationship analysis of authors, institutions, countries, journals, references, and keywords in the literature were carried out through CiteSpace software and the Online Analysis platform of Literature Metrology. At the same time, the relevant knowledge maps were drawn, and the keywords cluster analysis and emergence analysis were performed.

Results: 14,742 related articles were included, showing that the number of articles in this field has increased in recent years. The results showed that PEYRIN-BIROULET L from the University Hospital of Nancy-Brabois was the author with the most cumulative number of articles. The institution with the most articles was Mayo Clin, and the United States was far ahead in the article output and had a dominant role. Keywords analysis showed that there was a total of 818 keywords, which were mainly focused on the research of related diseases caused or coexisted by IBD, such as colorectal cancer and autoimmune diseases, and the diagnosis and treatment methods of IBD. Emerging analysis showed that future research hotspots and trends might be the treatment of IBD and precision medicine.

Conclusion: This research was the first bibliometric analysis of publications in the field of IBD diagnosis using visualization software and data information mining, and obtained the current status, hotspots, and development of this field. The future research hotspot might be the precision medicine of IBD, and the mechanism needed to be explored in depth to provide a theoretical basis for its clinical application.

Keywords: CiteSpace; bibliometric; diagnosis; inflammatory bowel disease; keywords; precision medicine.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Bibliometrics*
Cluster Analysis
Humans
Inflammatory Bowel Diseases* / diagnosis
Machine Learning
Software
United States