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A bibliometric and visualization analysis on the association between chronic exposure to fine particulate matter and cancer risk
INTRODUCTION: As one of the major pollutants in ambient air pollution, fine particulate matter (PM(2.5)) has attracted public attention. A large body of laboratory and epidemiological research has shown that PM(2.5) exposure is harmful to human health. METHODS: To investigate its association with th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762493/ https://www.ncbi.nlm.nih.gov/pubmed/36544791 http://dx.doi.org/10.3389/fpubh.2022.1039078 |
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author | Luo, Xuman Yang, Qiuping Zheng, Daitian Tian, Huiting Chen, Lingzhi Wu, Jinyao Ji, Zeqi Chen, Yexi Li, Zhiyang |
author_facet | Luo, Xuman Yang, Qiuping Zheng, Daitian Tian, Huiting Chen, Lingzhi Wu, Jinyao Ji, Zeqi Chen, Yexi Li, Zhiyang |
author_sort | Luo, Xuman |
collection | PubMed |
description | INTRODUCTION: As one of the major pollutants in ambient air pollution, fine particulate matter (PM(2.5)) has attracted public attention. A large body of laboratory and epidemiological research has shown that PM(2.5) exposure is harmful to human health. METHODS: To investigate its association with the commonly observed PM-related cancer, a bibliometric study was performed on related publications from 2012 to 2021 from a macroscopic perspective with the help of the Web of Science database and scientometric software VOSviewer, CiteSpace V, HistCite, and Biblioshiny. RESULTS: The results indicated that of the 1,948 enrolled documents, scientific productions increased steadily and peaked in 2020 with 348 publications. The most prolific authors, journals, organizations, and countries were Raaschou-Nielsen O, Science of the Total Environment, the Chinese Academy of Sciences, and China, respectively. The top five keywords in frequency order were “air pollution,” “particulate matter,” “lung cancer,” “exposure,” and “mortality.” DISCUSSION: The toxic mechanism of carcinogenicity was explained and is worthy of further investigation. China and the US collaborated most closely, and it is hoped the two countries can strengthen their collaboration to combat air pollution. There is also a need to identify the components of PM(2.5) and refine the models to assess the global burden of disease attributed to PM(2.5) exposure. |
format | Online Article Text |
id | pubmed-9762493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97624932022-12-20 A bibliometric and visualization analysis on the association between chronic exposure to fine particulate matter and cancer risk Luo, Xuman Yang, Qiuping Zheng, Daitian Tian, Huiting Chen, Lingzhi Wu, Jinyao Ji, Zeqi Chen, Yexi Li, Zhiyang Front Public Health Public Health INTRODUCTION: As one of the major pollutants in ambient air pollution, fine particulate matter (PM(2.5)) has attracted public attention. A large body of laboratory and epidemiological research has shown that PM(2.5) exposure is harmful to human health. METHODS: To investigate its association with the commonly observed PM-related cancer, a bibliometric study was performed on related publications from 2012 to 2021 from a macroscopic perspective with the help of the Web of Science database and scientometric software VOSviewer, CiteSpace V, HistCite, and Biblioshiny. RESULTS: The results indicated that of the 1,948 enrolled documents, scientific productions increased steadily and peaked in 2020 with 348 publications. The most prolific authors, journals, organizations, and countries were Raaschou-Nielsen O, Science of the Total Environment, the Chinese Academy of Sciences, and China, respectively. The top five keywords in frequency order were “air pollution,” “particulate matter,” “lung cancer,” “exposure,” and “mortality.” DISCUSSION: The toxic mechanism of carcinogenicity was explained and is worthy of further investigation. China and the US collaborated most closely, and it is hoped the two countries can strengthen their collaboration to combat air pollution. There is also a need to identify the components of PM(2.5) and refine the models to assess the global burden of disease attributed to PM(2.5) exposure. Frontiers Media S.A. 2022-12-05 /pmc/articles/PMC9762493/ /pubmed/36544791 http://dx.doi.org/10.3389/fpubh.2022.1039078 Text en Copyright © 2022 Luo, Yang, Zheng, Tian, Chen, Wu, Ji, Chen and Li. 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 | Public Health Luo, Xuman Yang, Qiuping Zheng, Daitian Tian, Huiting Chen, Lingzhi Wu, Jinyao Ji, Zeqi Chen, Yexi Li, Zhiyang A bibliometric and visualization analysis on the association between chronic exposure to fine particulate matter and cancer risk |
title | A bibliometric and visualization analysis on the association between chronic exposure to fine particulate matter and cancer risk |
title_full | A bibliometric and visualization analysis on the association between chronic exposure to fine particulate matter and cancer risk |
title_fullStr | A bibliometric and visualization analysis on the association between chronic exposure to fine particulate matter and cancer risk |
title_full_unstemmed | A bibliometric and visualization analysis on the association between chronic exposure to fine particulate matter and cancer risk |
title_short | A bibliometric and visualization analysis on the association between chronic exposure to fine particulate matter and cancer risk |
title_sort | bibliometric and visualization analysis on the association between chronic exposure to fine particulate matter and cancer risk |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762493/ https://www.ncbi.nlm.nih.gov/pubmed/36544791 http://dx.doi.org/10.3389/fpubh.2022.1039078 |
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