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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10146099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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