ArticlePloS one2013
Area-based socioeconomic position and adult glioma: a hierarchical analysis of surveillance epidemiology and end results data.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Socioeconomic status as a determinant of survival in glioblastoma: a systematic review and meta-analysis.Neurosurgical review · 2025Pooled it
- Association between ERCC1 C8092A and ERCC2 K751Q polymorphisms and risk of adult glioma: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Pooled it
- Gaps in Diagnosis, Treatment, and Outcomes Among Patients with Brain Tumors in the United States: A State-of-the-Art Review.Cancers · 2025Review
- Survival of nervous system tumors in a Colombian population cancer registry.Journal of neuro-oncology · 2025Article
- Assessing residential neighborhood exposomes and their associations with cancer incidence: rationale, study design, and methods.American journal of epidemiology · 2025Article
- The deleterious effect of WHO grade II diffuse glioma on socioeconomic status as evaluated through occupation.Scientific reports · 2025Article
- Enhanced spatial analysis assessing the association between PFAS-contaminated water and cancer incidence: rationale, study design, and methods.BMC cancer · 2025Article
- Article
- Challenges and Opportunities in Accessing Surgery for Glioblastoma in Low-Middle Income Countries: A Narrative Review.Cancers · 2024Article
- Survival analysis and associated factors of highgrade glioma patientsBiomedica : revista del Instituto Nacional de Salud · 2024Article
- The burden of brain and central nervous system cancers in Asia from 1990 to 2019 and its predicted level in the next twenty-five years : Burden and prediction model of CNS cancers in Asia.BMC public health · 2023Article
- Disparities in Neuro-Oncology.Current neurology and neuroscience reports · 2023Review
- Area-level socioeconomic status is positively correlated with glioblastoma incidence and prognosis in the United States.Frontiers in oncology · 2023Review
- Epidemiology of Brain and Other CNS Tumors.Current neurology and neuroscience reports · 2021Review
- Epidemiology and prognostic factors of pediatric brain tumor survival in the US: Evidence from four decades of population data.Cancer epidemiology · 2021Article
- Epidemiological Study of Malignant Gliomas in Korea Using Nationwide Dataset from 2007 to 2017.Journal of Korean medical science · 2021Article
- Association between urbanicity and surgical treatment among patients with primary glioblastoma in the United States.Neuro-oncology practice · 2020Article
- Risk factors for childhood and adult primary brain tumors.Neuro-oncology · 2019Review
- Article
- Primary brain and other central nervous system tumors in Appalachia: regional differences in incidence, mortality, and survival.Journal of neuro-oncology · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlioma rates vary by demographic factors and geo-political boundaries and this variation suggests higher glioma rates in groups of higher socioeconomic position. The primary goal of this analysis is to investigate the relationship between glioma and county socioeconomic position using U.S. Surveillance Epidemiology and End Results (SEER) data.
methodsCases were individuals 25+ years diagnosed with glioma between 2000 and 2006 and residing within the SEER-17 catchment area. County-, sex-, race-, age-specific rates were created in order to investigate individual-level associations (population data from U.S. Census 2000). A Bayesian hierarchical Poisson spatial conditionally autoregressive (CAR) model was utilized to simultaneously estimate individual- and county-level associations while controlling for county spatial dependence.
resultsThose residing in counties of the second, third, and fourth highest quartiles of socioeconomic position have glioma incidence rates that are 1.10 (95% CI: 1.02,1.19), 1.11 (95% CI: 1.02,1.20), 1.14 (95% CI: 1.05,1.23) times that of the first quartile, respectively. A CAR model properly controlled for error spatial dependence. Investigated lag times suggest year 2000 census data yields superior model fit.
conclusionDemographically adjusted rates of glioma are elevated in counties of higher socioeconomic position. More well-grounded theory concerning the glioma-socioeconomic position association along with socioeconomic data collected at multiple levels is recommended for future studies investigating this relationship.
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