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Global, regional, and national trends in mesothelioma burden from 1990 to 2019 and the predictions for the next two decades

OBJECTIVES: We aimed to analyze the secular trends in mesothelioma burden, the effect of age, period, and birth cohort, and project the global burden over time. MATERIAL AND METHODS: Based on the mesothelioma incidence, mortality, and Disability-Adjusted Life Years (DALYs) data from 1990 to 2019 in...

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Autores principales: Zhu, Wenmin, Liu, Jialin, Li, Yiling, Shi, Ziwei, Wei, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272494/
https://www.ncbi.nlm.nih.gov/pubmed/37334331
http://dx.doi.org/10.1016/j.ssmph.2023.101441
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author Zhu, Wenmin
Liu, Jialin
Li, Yiling
Shi, Ziwei
Wei, Sheng
author_facet Zhu, Wenmin
Liu, Jialin
Li, Yiling
Shi, Ziwei
Wei, Sheng
author_sort Zhu, Wenmin
collection PubMed
description OBJECTIVES: We aimed to analyze the secular trends in mesothelioma burden, the effect of age, period, and birth cohort, and project the global burden over time. MATERIAL AND METHODS: Based on the mesothelioma incidence, mortality, and Disability-Adjusted Life Years (DALYs) data from 1990 to 2019 in Global Burden of Diseases (GBD) database, the annual percentage change (APC) and average annual percent change (AAPC), calculated from joinpoint regression model, was used to describe the burden trends. An age-period-cohort model was utilized to disentangle age, period, and birth cohort effects on mesothelioma incidence and mortality trends. The mesothelioma burden was projected by the Bayesian age-period-cohort (BAPC) model. RESULTS: Globally, there were the significant declines in age-standardized incidence rate (ASIR) (AAPC = −0.4, 95%CI: −0.6,−0.3, P < 0.001), age-standardized mortality rate (ASMR) (AAPC = −0.3, 95%CI: −0.4,−0.2, P < 0.001), and age-standardized DALY rate (ASDR) (AAPC = −0.5, 95%CI: −0.6,−0.4, P < 0.001) of mesothelioma overall 30 years. For regions, Central Europe presented the most distinct increases and the most substantial decrease was observed in Andean Latin America on all ASRs (age-standardized rates) from 1990 to 2019. At national level, the largest annualized growth for full-range trends of incidence, mortality, and DALYs was in Georgia. Conversely, the fastest descent of all ASRs was observed in Peru. The ASIR, ASMR, and ASDR in 2039 predicted 0.33, 0.27, and 6.90 per 100,000, respectively. CONCLUSIONS: The global burden of mesothelioma declined over the past 30 years, with variability across regions and countries/territories, and this trend will continue in the future.
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spelling pubmed-102724942023-06-17 Global, regional, and national trends in mesothelioma burden from 1990 to 2019 and the predictions for the next two decades Zhu, Wenmin Liu, Jialin Li, Yiling Shi, Ziwei Wei, Sheng SSM Popul Health Regular Article OBJECTIVES: We aimed to analyze the secular trends in mesothelioma burden, the effect of age, period, and birth cohort, and project the global burden over time. MATERIAL AND METHODS: Based on the mesothelioma incidence, mortality, and Disability-Adjusted Life Years (DALYs) data from 1990 to 2019 in Global Burden of Diseases (GBD) database, the annual percentage change (APC) and average annual percent change (AAPC), calculated from joinpoint regression model, was used to describe the burden trends. An age-period-cohort model was utilized to disentangle age, period, and birth cohort effects on mesothelioma incidence and mortality trends. The mesothelioma burden was projected by the Bayesian age-period-cohort (BAPC) model. RESULTS: Globally, there were the significant declines in age-standardized incidence rate (ASIR) (AAPC = −0.4, 95%CI: −0.6,−0.3, P < 0.001), age-standardized mortality rate (ASMR) (AAPC = −0.3, 95%CI: −0.4,−0.2, P < 0.001), and age-standardized DALY rate (ASDR) (AAPC = −0.5, 95%CI: −0.6,−0.4, P < 0.001) of mesothelioma overall 30 years. For regions, Central Europe presented the most distinct increases and the most substantial decrease was observed in Andean Latin America on all ASRs (age-standardized rates) from 1990 to 2019. At national level, the largest annualized growth for full-range trends of incidence, mortality, and DALYs was in Georgia. Conversely, the fastest descent of all ASRs was observed in Peru. The ASIR, ASMR, and ASDR in 2039 predicted 0.33, 0.27, and 6.90 per 100,000, respectively. CONCLUSIONS: The global burden of mesothelioma declined over the past 30 years, with variability across regions and countries/territories, and this trend will continue in the future. Elsevier 2023-06-03 /pmc/articles/PMC10272494/ /pubmed/37334331 http://dx.doi.org/10.1016/j.ssmph.2023.101441 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Zhu, Wenmin
Liu, Jialin
Li, Yiling
Shi, Ziwei
Wei, Sheng
Global, regional, and national trends in mesothelioma burden from 1990 to 2019 and the predictions for the next two decades
title Global, regional, and national trends in mesothelioma burden from 1990 to 2019 and the predictions for the next two decades
title_full Global, regional, and national trends in mesothelioma burden from 1990 to 2019 and the predictions for the next two decades
title_fullStr Global, regional, and national trends in mesothelioma burden from 1990 to 2019 and the predictions for the next two decades
title_full_unstemmed Global, regional, and national trends in mesothelioma burden from 1990 to 2019 and the predictions for the next two decades
title_short Global, regional, and national trends in mesothelioma burden from 1990 to 2019 and the predictions for the next two decades
title_sort global, regional, and national trends in mesothelioma burden from 1990 to 2019 and the predictions for the next two decades
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272494/
https://www.ncbi.nlm.nih.gov/pubmed/37334331
http://dx.doi.org/10.1016/j.ssmph.2023.101441
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