Background. Bladder cancer is amongst the top 10 most common neoplasms worldwide. It is responsible for over 150,000 deaths per annum. It is of great importance to study its clinical diagnosis and management. As a literature synthesis technique, bibliometrics analysis helps us to take our knowledge of bladder cancer diagnosis research, topics, and trends a step further. It is critical to elucidate the literature landscape and its pertinent impact on this field, in order to have a better understanding and improved management of bladder cancer. Materials and Methods. Search terms related to bladder cancer diagnosis were used to retrieval publications which met the predefined criteria in the Scopus database developed by Elsevier. Included articles were further evaluated by year of publication, country, language, institution, article type, source journal, coauthorship networks, and text mining of titles. The R software, as well as the tm, ggplot2 packages, and the VOSviewer (version 1.6.15) were used as software tools. Results. A comprehensive literature search in the Scopus database returned a total of 824 publication items. Among them, 601 (72.94%) were published as journal articles, and 117 (14.20%) were published as reviews. The number of annual publications in this field has been increasing in recent years. English represents the language used in the majority of the articles (634, 77.13%). The highest number of citations received for a single article is as high as 628 times. We also clustered and visualized a network of 701 authors with no less than 3 publications. The term cloud and hierarchical clustering dendrogram which revealed with text mining were used to discover the hot research topics in this field. We also statistically analyzed evolution of the major journal impact indices, including Impact Factor, EigenFactor Score, and CiteScore of 11 journals with a period of 9 years. Conclusion. Through bibliometrics analysis, we found hot topics and related research focuses and trends in bladder cancer diagnosis. This bibliometrics analysis has identified influential articles in the field and provides a useful guide to researchers as to what type of article constitutes a highly citable publication in this subject. In addition, a coauthorship network helps researchers find out which team may be a potential partner and where their studies focus on.

中文翻译：

---

膀胱癌诊断测试准确性研究的文献计量学分析

背景。膀胱癌是全球十大最常见的肿瘤之一。它每年造成超过 150,000 人死亡。研究其临床诊断和治疗具有重要意义。作为一种文献综合技术，文献计量分析帮助我们更进一步了解膀胱癌诊断研究、主题和趋势。阐明文献景观及其对该领域的相关影响至关重要，以便更好地了解和改进对膀胱癌的管理。材料和方法. 与膀胱癌诊断相关的搜索词用于检索符合 Elsevier 开发的 Scopus 数据库中预定义标准的出版物。纳入的文章按出版年份、国家、语言、机构、文章类型、来源期刊、合着网络和标题文本挖掘进一步评估。R 软件以及tm、ggplot2包和 VOSviewer（版本 1.6.15）被用作软件工具。结果. Scopus 数据库中的综合文献检索共返回了 824 个发表项目。其中，601篇（72.94%）作为期刊文章发表，117篇（14.20%）作为评论发表。近年来，该领域的年度出版物数量一直在增加。英语是大多数文章中使用的语言（634，77.13%）。单篇文章最高引用次数高达628次。我们还对包含不少于 3 篇出版物的 701 位作者的网络进行了聚类和可视化。通过文本挖掘揭示的术语云和层次聚类树状图被用来发现该领域的热点研究课题。我们还统计分析了主要期刊影响指数的演变，包括影响因子、特征因子得分、结论。通过文献计量学分析，我们发现了膀胱癌诊断的热点话题和相关研究热点和趋势。这种文献计量学分析已经确定了该领域有影响力的文章，并为研究人员提供了有用的指南，以了解哪种类型的文章构成了该主题中高度可引用的出版物。此外，共同作者网络可帮助研究人员找出可能成为潜在合作伙伴的团队以及他们的研究重点。