Wenlin Chen1, Chuxiang Lei2, Penghao Liu1, Yifan Liu1, Xiaopeng Guo1, Ziren Kong1, Yuekun Wang1, Congxin Dai1, Yaning Wang1, Wenbin Ma1, Yu Wang3. 1. Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. 2. Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. 3. Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address: ywang@pumch.cn.
Abstract
BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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.
BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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.
Authors: Jae Hyeon Park; Jin-Sol Lee; Yunmoon Oh; Ji Sun Lee; Hae Eun Park; Haeun Lee; Yeon Su Park; So Young Kyung; Hyung Sik Kim; Sungpil Yoon Journal: In Vivo Date: 2022 Mar-Apr Impact factor: 2.155