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The epidemic of malignant mesothelioma in China: a prediction of incidence during 2016–2030
BACKGROUND: Malignant mesothelioma is an invasive cancer with a poor prognosis. The crude incidence rate of malignant mesothelioma in China increased throughout 2000 to 2013, which attracted attention. In order to predict the incidence trend of malignant mesothelioma in China, a Bayesian age-period-...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830266/ https://www.ncbi.nlm.nih.gov/pubmed/36636406 http://dx.doi.org/10.21037/tlcr-22-233 |
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author | Zhai, Yirui Hui, Zhouguang Chen, Wanqing Ying, Jianming Li, Junling Gao, Shugeng |
author_facet | Zhai, Yirui Hui, Zhouguang Chen, Wanqing Ying, Jianming Li, Junling Gao, Shugeng |
author_sort | Zhai, Yirui |
collection | PubMed |
description | BACKGROUND: Malignant mesothelioma is an invasive cancer with a poor prognosis. The crude incidence rate of malignant mesothelioma in China increased throughout 2000 to 2013, which attracted attention. In order to predict the incidence trend of malignant mesothelioma in China, a Bayesian age-period-cohort (APC) prediction model was constructed using publicly available data from the National Cancer Registration Network. METHODS: Based on the annual reports of the national cancer registration from 2005 to 2015, the incidence trend of malignant mesothelioma from 2016 to 2030 in China was forecast using the APC Modeling and Prediction package from the Institute of Biomedical Engineering, London. RESULTS: The crude incidence rates of malignant mesothelioma decreased from 2.2 per one million person-years in 2005 to 1.6 per one million person-years in 2015. The incidence rates remained stable over the 11-year time period after age standardization. Aging was found to have a dominant effect on the trends. The Bayesian APC model showed that the crude incidence rates would increase from 1.4 per one million person-years in 2016 to 1.9 per one million person-years in 2030, and the estimated number of new incident cases would increase to 2,775 in 2030. The age-standardized incidence rate (ASR) remained steady. CONCLUSIONS: In the future decade, the incidence of malignant mesothelioma may increase, but the ASR will remain stable. Considering its high degree of malignancy, malignant mesothelioma still needs to be taken seriously. |
format | Online Article Text |
id | pubmed-9830266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-98302662023-01-11 The epidemic of malignant mesothelioma in China: a prediction of incidence during 2016–2030 Zhai, Yirui Hui, Zhouguang Chen, Wanqing Ying, Jianming Li, Junling Gao, Shugeng Transl Lung Cancer Res Original Article BACKGROUND: Malignant mesothelioma is an invasive cancer with a poor prognosis. The crude incidence rate of malignant mesothelioma in China increased throughout 2000 to 2013, which attracted attention. In order to predict the incidence trend of malignant mesothelioma in China, a Bayesian age-period-cohort (APC) prediction model was constructed using publicly available data from the National Cancer Registration Network. METHODS: Based on the annual reports of the national cancer registration from 2005 to 2015, the incidence trend of malignant mesothelioma from 2016 to 2030 in China was forecast using the APC Modeling and Prediction package from the Institute of Biomedical Engineering, London. RESULTS: The crude incidence rates of malignant mesothelioma decreased from 2.2 per one million person-years in 2005 to 1.6 per one million person-years in 2015. The incidence rates remained stable over the 11-year time period after age standardization. Aging was found to have a dominant effect on the trends. The Bayesian APC model showed that the crude incidence rates would increase from 1.4 per one million person-years in 2016 to 1.9 per one million person-years in 2030, and the estimated number of new incident cases would increase to 2,775 in 2030. The age-standardized incidence rate (ASR) remained steady. CONCLUSIONS: In the future decade, the incidence of malignant mesothelioma may increase, but the ASR will remain stable. Considering its high degree of malignancy, malignant mesothelioma still needs to be taken seriously. AME Publishing Company 2022-12 /pmc/articles/PMC9830266/ /pubmed/36636406 http://dx.doi.org/10.21037/tlcr-22-233 Text en 2022 Translational Lung Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Zhai, Yirui Hui, Zhouguang Chen, Wanqing Ying, Jianming Li, Junling Gao, Shugeng The epidemic of malignant mesothelioma in China: a prediction of incidence during 2016–2030 |
title | The epidemic of malignant mesothelioma in China: a prediction of incidence during 2016–2030 |
title_full | The epidemic of malignant mesothelioma in China: a prediction of incidence during 2016–2030 |
title_fullStr | The epidemic of malignant mesothelioma in China: a prediction of incidence during 2016–2030 |
title_full_unstemmed | The epidemic of malignant mesothelioma in China: a prediction of incidence during 2016–2030 |
title_short | The epidemic of malignant mesothelioma in China: a prediction of incidence during 2016–2030 |
title_sort | epidemic of malignant mesothelioma in china: a prediction of incidence during 2016–2030 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830266/ https://www.ncbi.nlm.nih.gov/pubmed/36636406 http://dx.doi.org/10.21037/tlcr-22-233 |
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