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Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation
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 art...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201447/ https://www.ncbi.nlm.nih.gov/pubmed/35720132 http://dx.doi.org/10.3389/fmolb.2022.858577 |
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author | Chen, Jiarong Williams, Matt Huang, Yanming Si, Shijing |
author_facet | Chen, Jiarong Williams, Matt Huang, Yanming Si, Shijing |
author_sort | Chen, Jiarong |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9201447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92014472022-06-17 Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation Chen, Jiarong Williams, Matt Huang, Yanming Si, Shijing Front Mol Biosci Molecular Biosciences 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. Frontiers Media S.A. 2022-06-02 /pmc/articles/PMC9201447/ /pubmed/35720132 http://dx.doi.org/10.3389/fmolb.2022.858577 Text en Copyright © 2022 Chen, Williams, Huang and Si. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Molecular Biosciences Chen, Jiarong Williams, Matt Huang, Yanming Si, Shijing Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation |
title | Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation |
title_full | Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation |
title_fullStr | Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation |
title_full_unstemmed | Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation |
title_short | Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation |
title_sort | identifying topics and evolutionary trends of literature on brain metastases using latent dirichlet allocation |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201447/ https://www.ncbi.nlm.nih.gov/pubmed/35720132 http://dx.doi.org/10.3389/fmolb.2022.858577 |
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