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Glioma incidence and survival variations by county-level socioeconomic measures.

Publication ,  Journal Article
Cote, DJ; Ostrom, QT; Gittleman, H; Duncan, KR; CreveCoeur, TS; Kruchko, C; Smith, TR; Stampfer, MJ; Barnholtz-Sloan, JS
Published in: Cancer
October 1, 2019

BACKGROUND: Multiple studies have reported higher rates of glioma in areas with higher socioeconomic status (SES) but to the authors' knowledge have not stratified by other factors, including race/ethnicity or urban versus rural location. METHODS: The authors identified the average annual age-adjusted incidence rates and calculated hazard ratios for death for gliomas of various subtypes, stratified by a county-level index for SES, race/ethnicity, US region, and rural versus urban status. RESULTS: Rates of glioma were highest in counties with higher SES (rate ratio, 1.18; 95% CI, 1.15-1.22 comparing the highest with the lowest quintiles [P < .001]). Stratified by race/ethnicity, higher rates in high SES counties persisted for white non-Hispanic individuals. Stratified by rural versus urban status, differences in incidence by SES were more pronounced among urban counties. Survival was higher for residents of high SES counties after adjustment for age and extent of surgical resection (hazard ratio, 0.82; 95% CI, 0.76-0.87 comparing the highest with the lowest quintile of SES [P < .001]). Survival was higher among white Hispanic, black, and Asian/Pacific Islander individuals compared with white non-Hispanic individuals, after adjustment for age, SES, and extent of surgical resection, and when restricted to those individuals with glioblastoma who received radiation and chemotherapy. CONCLUSIONS: The incidence of glioma was higher in US counties of high compared with low SES. These differences were most pronounced among white non-Hispanic individuals and white Hispanic individuals residing in urban areas. Better survival was observed in high SES counties, even when adjusting for extent of surgical resection, and when restricted to those who received radiation and chemotherapy for glioblastoma. Differences in incidence and survival were associated with SES and race, rather than rural versus urban status.

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Published In

Cancer

DOI

EISSN

1097-0142

Publication Date

October 1, 2019

Volume

125

Issue

19

Start / End Page

3390 / 3400

Location

United States

Related Subject Headings

  • Young Adult
  • White People
  • Urban Population
  • United States
  • Time Factors
  • Survival Analysis
  • Socioeconomic Factors
  • SEER Program
  • Rural Population
  • Oncology & Carcinogenesis
 

Citation

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Cote, D. J., Ostrom, Q. T., Gittleman, H., Duncan, K. R., CreveCoeur, T. S., Kruchko, C., … Barnholtz-Sloan, J. S. (2019). Glioma incidence and survival variations by county-level socioeconomic measures. Cancer, 125(19), 3390–3400. https://doi.org/10.1002/cncr.32328
Cote, David J., Quinn T. Ostrom, Haley Gittleman, Kelsey R. Duncan, Travis S. CreveCoeur, Carol Kruchko, Timothy R. Smith, Meir J. Stampfer, and Jill S. Barnholtz-Sloan. “Glioma incidence and survival variations by county-level socioeconomic measures.Cancer 125, no. 19 (October 1, 2019): 3390–3400. https://doi.org/10.1002/cncr.32328.
Cote DJ, Ostrom QT, Gittleman H, Duncan KR, CreveCoeur TS, Kruchko C, et al. Glioma incidence and survival variations by county-level socioeconomic measures. Cancer. 2019 Oct 1;125(19):3390–400.
Cote, David J., et al. “Glioma incidence and survival variations by county-level socioeconomic measures.Cancer, vol. 125, no. 19, Oct. 2019, pp. 3390–400. Pubmed, doi:10.1002/cncr.32328.
Cote DJ, Ostrom QT, Gittleman H, Duncan KR, CreveCoeur TS, Kruchko C, Smith TR, Stampfer MJ, Barnholtz-Sloan JS. Glioma incidence and survival variations by county-level socioeconomic measures. Cancer. 2019 Oct 1;125(19):3390–3400.
Journal cover image

Published In

Cancer

DOI

EISSN

1097-0142

Publication Date

October 1, 2019

Volume

125

Issue

19

Start / End Page

3390 / 3400

Location

United States

Related Subject Headings

  • Young Adult
  • White People
  • Urban Population
  • United States
  • Time Factors
  • Survival Analysis
  • Socioeconomic Factors
  • SEER Program
  • Rural Population
  • Oncology & Carcinogenesis