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Pediatric glioma and medulloblastoma risk and population demographics: a Poisson regression analysis

BACKGROUND: The incidence of pediatric brain tumors varies by race and ethnicity, but these relationships may be confounded by socioeconomic status (SES). In this study, the Surveillance, Epidemiology, and End Results Program (SEER) database was evaluated for associations between race/ethnicity and...

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Autores principales: Muskens, Ivo S, Feng, Qianxi, Francis, Stephen S, Walsh, Kyle M, Mckean-Cowdin, Roberta, Gauderman, William J, de Smith, Adam J, Wiemels, Joseph L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447139/
https://www.ncbi.nlm.nih.gov/pubmed/32864610
http://dx.doi.org/10.1093/noajnl/vdaa089
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author Muskens, Ivo S
Feng, Qianxi
Francis, Stephen S
Walsh, Kyle M
Mckean-Cowdin, Roberta
Gauderman, William J
de Smith, Adam J
Wiemels, Joseph L
author_facet Muskens, Ivo S
Feng, Qianxi
Francis, Stephen S
Walsh, Kyle M
Mckean-Cowdin, Roberta
Gauderman, William J
de Smith, Adam J
Wiemels, Joseph L
author_sort Muskens, Ivo S
collection PubMed
description BACKGROUND: The incidence of pediatric brain tumors varies by race and ethnicity, but these relationships may be confounded by socioeconomic status (SES). In this study, the Surveillance, Epidemiology, and End Results Program (SEER) database was evaluated for associations between race/ethnicity and pediatric glioma and medulloblastoma risk with adjustment for SES. METHODS: Pediatric glioma and medulloblastoma cases from the SEER database (years: 2000–2016) were included. Differences in incidence rates by ethnicity, sex, age, and SES-related factors were evaluated by calculation of age-adjusted incidence rates (AAIRs) and annual percent change (APC). SES-related factors (percentage without less than high school graduation, median household income, and percentage foreign-born) were derived from the census at the county-level (year: 2000). Multivariable Poisson regression models with adjustment for selected covariates were constructed to evaluate risk factors. RESULTS: The highest AAIRs of pediatric glioma were observed among non-Hispanic Whites (AAIR: 2.91 per 100 000, 95%-CI: 2.84–2.99). An increasing incidence of pediatric glioma by calendar time was observed among non-Hispanic Whites and non-Hispanic Blacks (APC: 0.97%, 95%-CI: 0.28–1.68 and APC: 1.59%, 95%-CI: 0.03–3.18, respectively). Hispanic and non-Hispanic Black race/ethnicity was associated with lower risk when compared with non-Hispanic White (incidence rate ratios [IRRs]: 0.66, 95%-CI: 0.63–0.70; and 0.69, 95%-CI: 0.65–0.74, respectively). For medulloblastoma, the highest AAIR was observed for non-Hispanic Whites with a positive APC (1.52%, 95%-CI: 0.15–2.91). Hispanics and non-Hispanic Blacks had statistically significant lower IRRs compared with non-Hispanic Whites (IRRs: 0.83, 95%-CI: 0.73–0.94; and 0.72, 95%-CI: 0.59–0.87, respectively). CONCLUSION: Non-Hispanic White race/ethnicity was associated with higher pediatric glioma and medulloblastoma IRRs in models with adjustments for SES.
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spelling pubmed-74471392020-08-27 Pediatric glioma and medulloblastoma risk and population demographics: a Poisson regression analysis Muskens, Ivo S Feng, Qianxi Francis, Stephen S Walsh, Kyle M Mckean-Cowdin, Roberta Gauderman, William J de Smith, Adam J Wiemels, Joseph L Neurooncol Adv Basic and Translational Investigations BACKGROUND: The incidence of pediatric brain tumors varies by race and ethnicity, but these relationships may be confounded by socioeconomic status (SES). In this study, the Surveillance, Epidemiology, and End Results Program (SEER) database was evaluated for associations between race/ethnicity and pediatric glioma and medulloblastoma risk with adjustment for SES. METHODS: Pediatric glioma and medulloblastoma cases from the SEER database (years: 2000–2016) were included. Differences in incidence rates by ethnicity, sex, age, and SES-related factors were evaluated by calculation of age-adjusted incidence rates (AAIRs) and annual percent change (APC). SES-related factors (percentage without less than high school graduation, median household income, and percentage foreign-born) were derived from the census at the county-level (year: 2000). Multivariable Poisson regression models with adjustment for selected covariates were constructed to evaluate risk factors. RESULTS: The highest AAIRs of pediatric glioma were observed among non-Hispanic Whites (AAIR: 2.91 per 100 000, 95%-CI: 2.84–2.99). An increasing incidence of pediatric glioma by calendar time was observed among non-Hispanic Whites and non-Hispanic Blacks (APC: 0.97%, 95%-CI: 0.28–1.68 and APC: 1.59%, 95%-CI: 0.03–3.18, respectively). Hispanic and non-Hispanic Black race/ethnicity was associated with lower risk when compared with non-Hispanic White (incidence rate ratios [IRRs]: 0.66, 95%-CI: 0.63–0.70; and 0.69, 95%-CI: 0.65–0.74, respectively). For medulloblastoma, the highest AAIR was observed for non-Hispanic Whites with a positive APC (1.52%, 95%-CI: 0.15–2.91). Hispanics and non-Hispanic Blacks had statistically significant lower IRRs compared with non-Hispanic Whites (IRRs: 0.83, 95%-CI: 0.73–0.94; and 0.72, 95%-CI: 0.59–0.87, respectively). CONCLUSION: Non-Hispanic White race/ethnicity was associated with higher pediatric glioma and medulloblastoma IRRs in models with adjustments for SES. Oxford University Press 2020-07-22 /pmc/articles/PMC7447139/ /pubmed/32864610 http://dx.doi.org/10.1093/noajnl/vdaa089 Text en © The Author(s) 2020. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Basic and Translational Investigations
Muskens, Ivo S
Feng, Qianxi
Francis, Stephen S
Walsh, Kyle M
Mckean-Cowdin, Roberta
Gauderman, William J
de Smith, Adam J
Wiemels, Joseph L
Pediatric glioma and medulloblastoma risk and population demographics: a Poisson regression analysis
title Pediatric glioma and medulloblastoma risk and population demographics: a Poisson regression analysis
title_full Pediatric glioma and medulloblastoma risk and population demographics: a Poisson regression analysis
title_fullStr Pediatric glioma and medulloblastoma risk and population demographics: a Poisson regression analysis
title_full_unstemmed Pediatric glioma and medulloblastoma risk and population demographics: a Poisson regression analysis
title_short Pediatric glioma and medulloblastoma risk and population demographics: a Poisson regression analysis
title_sort pediatric glioma and medulloblastoma risk and population demographics: a poisson regression analysis
topic Basic and Translational Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447139/
https://www.ncbi.nlm.nih.gov/pubmed/32864610
http://dx.doi.org/10.1093/noajnl/vdaa089
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