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Clustering of Pediatric Brain Tumors in Texas, 2000–2017

Risk factors for pediatric brain tumors are largely unknown. Identifying spatial clusters of these rare tumors on the basis of residential address may provide insights into childhood socio-environmental factors that increase susceptibility. From 2000–2017, the Texas Cancer Registry recorded 4305 pri...

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Autores principales: Hoang, Thanh T., Rosales, Omar, Burgess, Elyse, Lupo, Philip J., Scheurer, Michael E., Oluyomi, Abiodun O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146099/
https://www.ncbi.nlm.nih.gov/pubmed/37112578
http://dx.doi.org/10.3390/toxics11040351
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author Hoang, Thanh T.
Rosales, Omar
Burgess, Elyse
Lupo, Philip J.
Scheurer, Michael E.
Oluyomi, Abiodun O.
author_facet Hoang, Thanh T.
Rosales, Omar
Burgess, Elyse
Lupo, Philip J.
Scheurer, Michael E.
Oluyomi, Abiodun O.
author_sort Hoang, Thanh T.
collection PubMed
description Risk factors for pediatric brain tumors are largely unknown. Identifying spatial clusters of these rare tumors on the basis of residential address may provide insights into childhood socio-environmental factors that increase susceptibility. From 2000–2017, the Texas Cancer Registry recorded 4305 primary brain tumors diagnosed among children (≤19 years old). We performed a spatial analysis in SaTScan to identify neighborhoods (census tracts) where the observed number of pediatric brain tumors was higher than expected. Within each census tract, the number of pediatric brain tumors was summed on the basis of residential address at diagnosis. The population estimate from the 2007–2011 American Community Survey of 0- to 19-year-olds was used as the at-risk population. p-values were calculated using Monte Carlo hypothesis testing. The age-standardized rate was 54.3 per 1,000,000. SaTScan identified twenty clusters, of which two were statistically significant (p < 0.05). Some of the clusters identified in Texas spatially implicated potential sources of environmental risk factors (e.g., proximity to petroleum production processes) to explore in future research. This work provides hypothesis-generating data for further investigations of spatially relevant risk factors of pediatric brain tumors in Texas.
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spelling pubmed-101460992023-04-29 Clustering of Pediatric Brain Tumors in Texas, 2000–2017 Hoang, Thanh T. Rosales, Omar Burgess, Elyse Lupo, Philip J. Scheurer, Michael E. Oluyomi, Abiodun O. Toxics Article Risk factors for pediatric brain tumors are largely unknown. Identifying spatial clusters of these rare tumors on the basis of residential address may provide insights into childhood socio-environmental factors that increase susceptibility. From 2000–2017, the Texas Cancer Registry recorded 4305 primary brain tumors diagnosed among children (≤19 years old). We performed a spatial analysis in SaTScan to identify neighborhoods (census tracts) where the observed number of pediatric brain tumors was higher than expected. Within each census tract, the number of pediatric brain tumors was summed on the basis of residential address at diagnosis. The population estimate from the 2007–2011 American Community Survey of 0- to 19-year-olds was used as the at-risk population. p-values were calculated using Monte Carlo hypothesis testing. The age-standardized rate was 54.3 per 1,000,000. SaTScan identified twenty clusters, of which two were statistically significant (p < 0.05). Some of the clusters identified in Texas spatially implicated potential sources of environmental risk factors (e.g., proximity to petroleum production processes) to explore in future research. This work provides hypothesis-generating data for further investigations of spatially relevant risk factors of pediatric brain tumors in Texas. MDPI 2023-04-08 /pmc/articles/PMC10146099/ /pubmed/37112578 http://dx.doi.org/10.3390/toxics11040351 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hoang, Thanh T.
Rosales, Omar
Burgess, Elyse
Lupo, Philip J.
Scheurer, Michael E.
Oluyomi, Abiodun O.
Clustering of Pediatric Brain Tumors in Texas, 2000–2017
title Clustering of Pediatric Brain Tumors in Texas, 2000–2017
title_full Clustering of Pediatric Brain Tumors in Texas, 2000–2017
title_fullStr Clustering of Pediatric Brain Tumors in Texas, 2000–2017
title_full_unstemmed Clustering of Pediatric Brain Tumors in Texas, 2000–2017
title_short Clustering of Pediatric Brain Tumors in Texas, 2000–2017
title_sort clustering of pediatric brain tumors in texas, 2000–2017
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146099/
https://www.ncbi.nlm.nih.gov/pubmed/37112578
http://dx.doi.org/10.3390/toxics11040351
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