Long-term incidence of glioma in Olmsted County, Minnesota, and disparities in postglioma survival rate: a population-based study

Abstract

Background We assessed glioma incidence and disparities in postglioma survival rate in the Olmsted County, Minnesota, population. Methods This population-based study assessed the incidence of pathologically confirmed primary gliomas between January 1, 1995, and December 31, 2014. Age- and sex-adjusted incidence rates per 100 000 person-years were calculated and standardized to the US white 2010 population. We compared incidence trends of glioma during our study period with previously published Olmsted County data from 1950 to 1990. We assessed postglioma survival rates among individuals with different socioeconomic status (SES), which was measured by a validated individual HOUsing-based SES index (HOUSES). Results We identified 135 incident glioma cases (93% white) with 20 pediatric (50% female) and 115 adult cases (44% female). Overall incidence rate during our study period, 5.51 per 100 000 person-years (95% CI: 4.56-6.46), showed no significant changes and was similar to that seen in 1950 to 1990, 5.5 per 100 000 person-years. The incidence of pediatric (age < 20 years) glioma was 2.49 (95% CI: 1.40-3.58), whereas adult glioma incidence was 6.47 (95% CI: 5.26-7.67). Among those with grade II to IV gliomas, individuals with lower SES (< median HOUSES) had significantly lower 5-year survival rates compared to those with higher SES, adjusted hazard ratio 1.61 (95% CI: 1.01-2.85). Conclusion In a well-defined North American population, long-term glioma incidence appears stable since 1950. Significant socioeconomic disparities exist for postglioma survival.

Population‐based incidence and clinico‐radiological characteristics of tumefactive demyelination in Olmsted County, Minnesota, United States

“…In the same geographic population, the adjusted incidence rate of glioma for all ages is 5.51 per 100,000 inhabitants, 10 times higher than F I G U R E 2 Patient 10 (A1-A4) brain magnetic resonance imaging (MRI) axial fluid-attenuated inversion recovery (demonstrates a large heterogeneous left hemisphere lesion with extensive edema and prominent involvement of the corpus callosum (A1) with heterogenous contrast enhancement on axial T1 post-contrast MRI (A2). Apparent diffusion coefficient indicated mild diffusion restriction, predominantly along the margin of the T2 hyperintensity in the frontal and parietal lobes (A3 TD incidence [22,23]. Moreover, an incidence rate of 11.1 per 100,000 population per year was reported for brain metastases over 34 years from 1935 to 1968 in our region, which is higher than the incidence of MS, glioma, and TD in Olmsted County [24].…”

“…The differential diagnosis of patients presenting with TD lesions encompasses a broad spectrum of diseases. In the same geographic population, the adjusted incidence rate of glioma for all ages is 5.51 per 100,000 inhabitants, 10 times higher than TD incidence [22,23]. Moreover, an incidence rate of 11.1 per 100,000 population per year was reported for brain metastases over 34 years from 1935 to 1968 in our region, which is higher than the incidence of MS, glioma, and TD in Olmsted County [24].…”

Acute healthcare utilization in end-of-life among Swedish brain tumor patients – a population based register study

“…Moreover, cancer patients with lower SES have worse survival prospects [ 31 ]. The few published studies investigating equality of care for brain tumor patients point in the same direction [ 32 – 34 ]. To counteract this, equality in health and care is an expressed goal for the ongoing Swedish Cancer Plan, which is based on governmental guidelines and executed by the Regional Cancer Centres in Sweden [ 35 ].…”

An individual-level socioeconomic measure for assessing algorithmic bias in health care settings: A case for HOUSES index

“…A. Chronic conditions and mortality Adults: 1) Risk of rheumatoid arthritis (RA) and post-RA mortality, 38 2) risks of coronary heart disease, asthma, diabetes, hypertension, mood disorder, 39 Post-Myocardial Infarction mortality, 40 3) multiple chronic conditions, 41 4) post-Glioma mortality 42 , 5) renal transplantation outcome 43 , 6) ICU mortality, 44 7) persistent depressive symptoms and remission of depressive symptoms, 45 Children: 8) Risks of asthma, epilepsy, mood disorders, 46 61,62 ) by SES. This calculation was done in both the training and testing cohorts.…”