Zhang F, Xu J, Sun C, Dai F, Zhu Q, Liang H. A Scientometric Visualization Analysis for Benign Prostatic Hyperplasia from 2016 to 2022.
Urol Int 2023;
107:111-125. [PMID:
36549286 PMCID:
PMC9945200 DOI:
10.1159/000527792]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 09/12/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND
Benign prostatic hyperplasia (BPH) is a common urological disorder leading to dysuria in middle-aged and elderly men and significantly reduces the quality of life of patients. Technology for BPH has made a great progress, while there is still a lack of visual and summary literature to make the summary.
SUMMARY
The aims of the study were to identify the cooperation of authors, countries, institutions, and explore hot topics' prospects regarding research of BPH. Relevant original articles were obtained from the Web of Science (WoS) database between 2016 and 2022. CiteSpace software was used to perform the analysis and visualization of scientific productivity and emerging trends.
KEY MESSAGES
A total of 4,738 articles related to study of BPH were identified. We observed a gradual increase in the number of publications from 2016 to 2022. The USA dominated the field in all countries. Shanghai Jiao Tong University was the most productive institution in 6 years. Active cooperation between countries and between institutions was not observed. Journal of Urology was the most co-cited journal. Roehrborn CG (41 papers) was the most productive author and had the largest numbers of citations (820 co-citations) during the past 6 years. Close collaboration was not observed between the different authors. The main hot topics included matters related to BPH, urinary tract symptom, prostatic urethral lift, thermal therapy, and prostatic neoplasms. This scientometric study comprehensively reviewed publications related to BPH during the past 6 years using quantitative and qualitative methods, which can be used to forecast future research developments in BPH.
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