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使用潜在狄利克雷分配识别脑转移瘤文献的主题和演变趋势。

Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation.

作者信息

Chen Jiarong, Williams Matt, Huang Yanming, Si Shijing

机构信息

Clinical Experimental Center, Jiangmen Key Laboratory of Clinical Biobanks and Translational Research, Jiangmen Central Hospital, Jiangmen, China.

Department of Oncology, Jiangmen Central Hospital, Jiangmen, China.

出版信息

Front Mol Biosci. 2022 Jun 2;9:858577. doi: 10.3389/fmolb.2022.858577. eCollection 2022.

Abstract

Research on brain metastases kept innovating. We aimed to illustrate what topics the research focused on and how it varied in different periods of all the studies on brain metastases with topic modelling. We used the latent Dirichlet allocation model to analyse the titles and abstracts of 50,176 articles on brain metastases retrieved from Web of Science, Embase and MEDLINE. We further stratified the articles to find out the topic trends of different periods. Our study identified that a rising number of studies on brain metastases were published in recent decades at a higher rate than all cancer articles. Overall, the major themes focused on treatment and histopathology. Radiotherapy took over the first and third places in the top 20 topics. Since the 2010's, increasing attention concerned about gene mutations. Targeted therapy was a popular topic of brain metastases research after 2020.

摘要

关于脑转移瘤的研究不断创新。我们旨在通过主题建模来说明所有脑转移瘤研究中关注的主题以及这些主题在不同时期是如何变化的。我们使用潜在狄利克雷分配模型分析了从科学网、Embase和MEDLINE检索到的50176篇关于脑转移瘤的文章的标题和摘要。我们进一步对文章进行分层,以找出不同时期的主题趋势。我们的研究发现,近几十年来,关于脑转移瘤的研究数量不断增加,其发表速度高于所有癌症文章。总体而言,主要主题集中在治疗和组织病理学。放射治疗在20个热门主题中占据了第一和第三位。自2010年代以来,对基因突变的关注日益增加。2020年后,靶向治疗成为脑转移瘤研究的热门话题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dcf/9201447/9896d438b1d3/fmolb-09-858577-g001.jpg

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