Abstract
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 used Python to extract 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.
Highlights
The body of glioma-related literature has grown significantly over the past25 years
Our study examines the data for major trends in research instead of merely charting where and when most research has been published in order to help researchers understand the past and current status of glioma-related research, plan future research, and deliver more effective treatments to patients
We searched the public version of PubMed on April 1, 2019 for publications indexed with the MeSH term, “glioma,” limited by publication date from 1994 to 2018
Summary
The body of glioma-related literature has grown significantly over the past. 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. Edited by: Soumen Khatua, University of Texas MD Anderson. Reviewed by: Maria Caffo, University of Messina, Italy. Shiao-Pei Weathers, Specialty section: This article was submitted to. Gliomas are the most common tumor among adult primary malignant brain tumors [1]. In the past 25 years, researchers have made substantial progress in diagnosing and treating glioblastoma by explaining the molecular basis of primary brain tumors [3]. This research on the molecular features of gliomas—including research on IDH, 1p/19q co-deletion, H3 Lys27Met, and RELA-fusion and other genetic parameters—has been incorporated into the 2016 WHO classification system [4].
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