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Progress and Prospects of Recurrent Glioma: A Recent Scientometric Analysis of the Web of Science in 2019.

Authors :
Chen, Wenlin
Lei, Chuxiang
Liu, Penghao
Liu, Yifan
Guo, Xiaopeng
Kong, Ziren
Wang, Yuekun
Dai, Congxin
Wang, Yaning
Ma, Wenbin
Wang, Yu
Source :
World Neurosurgery. Feb2020, Vol. 134, pe387-e399. 13p.
Publication Year :
2020

Abstract

Most patients with glioma experience recurrence and have a poor prognosis. Scientometric analysis is effective and widely used to summarize the most influential studies within a certain field. We present the first scientometric analysis of recurrent glioma. We conducted a generalized search for articles on recurrent glioma in the Web of Science database and evaluated the top 100 most cited articles among 4651 articles. The number of citations from the top 100 cited articles on recurrent glioma ranged from 149 to 1471; most of these articles were published in oncology-specific journals (66) and were submitted by institutions in the United States (n = 67). The top-cited articles consisted of 98 articles and 2 literature reviews. Articles were classified into 4 major categories based on subject matter: 82 pertained to treatment, 6 pertained to genetic mechanisms, 7 pertained to diagnosis, and 5 pertained to prognosis. Treatment-related articles were subdivided into the following 7 categories: targeted therapy (n = 21), chemotherapy (n = 20), immunotherapy (n = 12), combination therapy (n = 12), radiotherapy (n = 9), surgical resection (n = 6), a new therapy (physiotherapy) (n = 1), and treatment summary (n = 1). The results of the analysis indicated that the core problem is the treatment of recurrent glioma. Although the number of citations on targeted therapy and combination therapy has increased in recent years, the proportion of randomized controlled trials, basic medical research, literature reviews, and meta-analyses is relatively low; thus, there is an urgent need to conduct these types of studies on recurrent glioma. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18788750
Volume :
134
Database :
Academic Search Index
Journal :
World Neurosurgery
Publication Type :
Academic Journal
Accession number :
141683286
Full Text :
https://doi.org/10.1016/j.wneu.2019.10.078