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. 2022 Nov 17:12:1044830.
doi: 10.3389/fonc.2022.1044830. eCollection 2022.

Global research trends in non-muscle invasive bladder cancer: Bibliometric and visualized analysis

Sheng Deng  1 , Fanchao Meng  2 , Lu Wang  3 , Zhen Yang  1 , Lihua Xuan  1 , Zhihua Xuan  1 , Jisheng Wang  4
Affiliations

Global research trends in non-muscle invasive bladder cancer: Bibliometric and visualized analysis

Sheng Deng et al. Front Oncol. .

Abstract

Background: Bladder cancer is one of the most common urological cancers. Non-muscle invasive bladder cancer (NMIBC) accounts for about 75-85% of all newly diagnosed bladder cancers. Globally, there are many NMIBC-related publications. However, a bibliometric analysis of these publications has not been performed.

Objective: This study aims to systematically analyze and visualize NMIBC-related publications through bibliometrics, and to reveal identified topics, hotspots, and knowledge gaps in related fields.

Methods: Based on the Web of Science core collection database, we firstly analyzed the quantity and quality of publications in the field of NMIBC, secondly profiled the publishing groups in terms of country, institution, author's publication and cooperation network, and finally sorted out and summarized the hot topics of research.

Results: This bibliometric analysis was conducted from 2001 to 2022. The analysis identified 2,185 articles and reviews, which were published in 402 journals. The number of publications and citations on NMIBC-related research has steadily increased over the last two decades. Furthermore, academic institutions in Europe and the United States play a leading role in NMIBC research. The country, institution, journal, and author with the most publications were the United States (559), Radboud University Nijmegen (88), Urologic oncology: Seminars and Original Investigations (141), and Witjes J (74), respectively. The most frequently used keywords were Bladder cancer (793), Recurrence (671), Urothelial carcinoma (593), Progression (523), Bacillus-calmette-guerin (411), Transitional-cell carcinoma (401), Carcinoma (366), Risk (297), Transurethral resection (286), and Non-muscle-invasive bladder cancer (280).

Conclusion: More and more scholars are devoted to the research of related NMIBC. This bibliometric analysis revealed that the main research topics and hotspots in NMIBC included pathological staging, clinical diagnosis and treatment, and bladder perfusion.

Keywords: bibliometrics; data visualization; hotspots; non-muscle invasive bladder cancer; research status.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flowchart of the search strategy.
Figure 2
Figure 2
Annual trends of global publications.
Figure 3
Figure 3
Global analysis of the research trends in NMIBC based on the origin of the publications.
Figure 4
Figure 4
Co-occurrence map of Countries/Regions. The size of the nodes represents the number of articles; the thickness of the curve represents the strength of the collaboration; the colors represent different collaboration groups.
Figure 5
Figure 5
Co-occurrence map of Institutions. The size of the nodes represents the number of articles; the thickness of the curve represents the strength of the collaboration; the colors represent different collaboration groups.
Figure 6
Figure 6
Analysis of Authors and Co-Cited Authors. (A) Co-occurrence map of Authors. The size of the nodes represents the number of articles. (B) Co-Cited Authors analysis map. The size of the nodes represents the number of co-citations.
Figure 7
Figure 7
References burst analysis by CiteSpace.
Figure 8
Figure 8
Keyword Analysis. (A) Keyword co-occurrence analysis map obtained using VOSviewer. The size of the nodes represents the number of occurrences; the thickness of the curve represents the strength of collaboration; the different colors represent the different clusters. (B) Keyword density visualization analysis. The higher the intensity of the red color node, the higher the number of keywords. (C) Keyword clustering map analysis through CiteSpace. A total of 19 categories of keywords were obtained. The different color blocks represent different keyword clusters.
Figure 9
Figure 9
Keywords burst analysis by CiteSpace.
See this image and copyright information in PMC

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