Cargando…

Demographic Variation in the Frequency of Gliomas in Florida

Background and objectives: Glial brain cancers affect nearly 20,000 individuals in the United States (USA) annually. SEER database data exploring the relationship between race and gliomas is now available and have shown that cerebral gliomas occur at a higher frequency in Caucasian men. However, suc...

Descripción completa

Detalles Bibliográficos
Autores principales: Persaud-Sharma, Dharam, Burns, Joseph, Trangle, Jeran, Castro, Grettel, Barengo, Noel, Moulik, Sabyasachi, Manuel Lozano, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358829/
https://www.ncbi.nlm.nih.gov/pubmed/30621205
http://dx.doi.org/10.3390/medicina55010005
_version_ 1783392078977302528
author Persaud-Sharma, Dharam
Burns, Joseph
Trangle, Jeran
Castro, Grettel
Barengo, Noel
Moulik, Sabyasachi
Manuel Lozano, Juan
author_facet Persaud-Sharma, Dharam
Burns, Joseph
Trangle, Jeran
Castro, Grettel
Barengo, Noel
Moulik, Sabyasachi
Manuel Lozano, Juan
author_sort Persaud-Sharma, Dharam
collection PubMed
description Background and objectives: Glial brain cancers affect nearly 20,000 individuals in the United States (USA) annually. SEER database data exploring the relationship between race and gliomas is now available and have shown that cerebral gliomas occur at a higher frequency in Caucasian men. However, such analyses did not include demographic data specific to the state of Florida. This study assessed the association between race and glial vs. non-glial Central Nervous System (CNS) cancers in Florida, USA. Materials and Methods: This case-control study utilized the Florida Cancer Data Registry (FCDS), in which race was considered the exposure and development of glioma as the measured outcome. The sample was comprised of patients in Florida diagnosed with brain tumors from 1981 to 2013. Relative racial frequencies were compared between patients with glial brain tumors and those with other CNS tumors. Data was analyzed using logistic regression in order to determine any associations between race and frequency of diagnosis adjusting for several confounders (age, sex, smoking status, year of diagnosis, and insurance status). Results: Between 1981 and 2013 a total of 14,092 patients meeting the inclusion and exclusion criteria were diagnosed in Florida with a primary brain tumor. Being of non-white race was associated with 60% decreased odds of glioma diagnosis compared to the reference white population (adjusted OR 0.4, 95% CI 0.34–0.47). Secondary findings include associations between increasing age and male sex with increased odds of glioma diagnosis. Decreased adjusted odds of glioma diagnosis were found with former smoking status (reference non-smokers), diagnosis between 2001 and 2010 (reference 1981–1990), and Medicaid or Medicare insurance (reference private insurance). Hispanic ethnicity, current smoking status, no insurance/self-pay, and geographical location (urban vs. rural) all had no association with glioma diagnosis. Conclusions: These findings are consistent with and help reinforce previous studies utilizing national databases (SEER) which also showed increasing odds of glioma diagnosis in older white males. Various potential explanations for these findings include genetic predisposition, lifestyle and behavioral factors, and socioeconomic status, including access to healthcare. Future research aims at identifying potential genetic etiologies.
format Online
Article
Text
id pubmed-6358829
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-63588292019-02-13 Demographic Variation in the Frequency of Gliomas in Florida Persaud-Sharma, Dharam Burns, Joseph Trangle, Jeran Castro, Grettel Barengo, Noel Moulik, Sabyasachi Manuel Lozano, Juan Medicina (Kaunas) Article Background and objectives: Glial brain cancers affect nearly 20,000 individuals in the United States (USA) annually. SEER database data exploring the relationship between race and gliomas is now available and have shown that cerebral gliomas occur at a higher frequency in Caucasian men. However, such analyses did not include demographic data specific to the state of Florida. This study assessed the association between race and glial vs. non-glial Central Nervous System (CNS) cancers in Florida, USA. Materials and Methods: This case-control study utilized the Florida Cancer Data Registry (FCDS), in which race was considered the exposure and development of glioma as the measured outcome. The sample was comprised of patients in Florida diagnosed with brain tumors from 1981 to 2013. Relative racial frequencies were compared between patients with glial brain tumors and those with other CNS tumors. Data was analyzed using logistic regression in order to determine any associations between race and frequency of diagnosis adjusting for several confounders (age, sex, smoking status, year of diagnosis, and insurance status). Results: Between 1981 and 2013 a total of 14,092 patients meeting the inclusion and exclusion criteria were diagnosed in Florida with a primary brain tumor. Being of non-white race was associated with 60% decreased odds of glioma diagnosis compared to the reference white population (adjusted OR 0.4, 95% CI 0.34–0.47). Secondary findings include associations between increasing age and male sex with increased odds of glioma diagnosis. Decreased adjusted odds of glioma diagnosis were found with former smoking status (reference non-smokers), diagnosis between 2001 and 2010 (reference 1981–1990), and Medicaid or Medicare insurance (reference private insurance). Hispanic ethnicity, current smoking status, no insurance/self-pay, and geographical location (urban vs. rural) all had no association with glioma diagnosis. Conclusions: These findings are consistent with and help reinforce previous studies utilizing national databases (SEER) which also showed increasing odds of glioma diagnosis in older white males. Various potential explanations for these findings include genetic predisposition, lifestyle and behavioral factors, and socioeconomic status, including access to healthcare. Future research aims at identifying potential genetic etiologies. MDPI 2019-01-04 /pmc/articles/PMC6358829/ /pubmed/30621205 http://dx.doi.org/10.3390/medicina55010005 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Persaud-Sharma, Dharam
Burns, Joseph
Trangle, Jeran
Castro, Grettel
Barengo, Noel
Moulik, Sabyasachi
Manuel Lozano, Juan
Demographic Variation in the Frequency of Gliomas in Florida
title Demographic Variation in the Frequency of Gliomas in Florida
title_full Demographic Variation in the Frequency of Gliomas in Florida
title_fullStr Demographic Variation in the Frequency of Gliomas in Florida
title_full_unstemmed Demographic Variation in the Frequency of Gliomas in Florida
title_short Demographic Variation in the Frequency of Gliomas in Florida
title_sort demographic variation in the frequency of gliomas in florida
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358829/
https://www.ncbi.nlm.nih.gov/pubmed/30621205
http://dx.doi.org/10.3390/medicina55010005
work_keys_str_mv AT persaudsharmadharam demographicvariationinthefrequencyofgliomasinflorida
AT burnsjoseph demographicvariationinthefrequencyofgliomasinflorida
AT tranglejeran demographicvariationinthefrequencyofgliomasinflorida
AT castrogrettel demographicvariationinthefrequencyofgliomasinflorida
AT barengonoel demographicvariationinthefrequencyofgliomasinflorida
AT mouliksabyasachi demographicvariationinthefrequencyofgliomasinflorida
AT manuellozanojuan demographicvariationinthefrequencyofgliomasinflorida