目的:在过去的25年里，与胶质瘤相关的文献数量大量增加。但是虽然发表的文献数量在增长，胶质瘤依然是最难治疗的肿瘤之一。本研究旨在利用机器学习和文本分析的方法，从已经发表的文献的角度，来分析过去25年来与胶质瘤相关研究的主题概况。

方法:在2019年4月，我们下载了1994年至2018年在PubMed检索到的所有与胶质瘤相关的文献，从原始数据集中提取每篇文章的标题、出版日期、MeSH主题词和摘要，以便进行文献计量评估。对于摘要，进一步使用隐含狄利克雷分布(LDA)的方法，对出版物的研究主题进行更加具体的识别。

结果:本项研究当中，一共纳入和分析了52,625篇与胶质瘤相关的文献。研究发现，在过去的25年里，胶质母细胞瘤治疗和预后的研究是文献数量增加最多的主题。然而，与临床试验相关的出版物只占了全部出版物的不到5%。目前关于胶质瘤的主题基本包括了临床、基础和技术等各个方面，但是关于胶质瘤患者的心理研究和临终关怀的研究相对缺乏。

结论:在过去的25年里，与胶质瘤相关的文献数量迅速增加。最常见的主题包括胶质瘤的分子背景、患者的生存率和不同治疗方法的治疗结果，未来需要对胶质瘤患者的心理和临终关怀方面进行更多的研究。

Introduction: The body of glioma-related literature has grown significantly over the past 25 years. Despite this growth in the amount of published research, gliomas remain one of the most intransigent cancers. The purpose of this study was to analyze the landscape of glioma-related research over the past 25 years using machine learning and text analysis.

Methods: In April 2019, we downloaded glioma-related publications indexed in PubMed between 1994 and 2018. We extracted the title, publication date, MeSH terms, and abstract from the metadata of each publication for bibliometric assessment. Latent Dirichlet allocation (LDA) was applied to the abstracts to identify publications’ research topics with greater specificity.

Results: We identified and analyzed a total of 52,625 publications in our study. We found that research on prognosis and the treatment of glioblastoma increased the most in terms of volume and rate of publications over the past 25 years. However, publications regarding clinical trials accounted for <5% of all publications considered in this study. The current research landscape covers clinical, pre-clinical, biological, and technical aspects of glioblastoma; at present, researchers appear to be less concerned with glioblastoma’ s psychological effects or patients’ end-of-life care.

Conclusion: Publication of glioma-related research has expanded rapidly over the past 25 years. Common topics include the disease’ s molecular background, patients’ survival, and treatment outcomes; more research needs to be done on the psychological aspects of glioblastoma and end-of-life care.