Disparities in health care determine prognosis in newly diagnosed glioblastoma

Challenges and Opportunities in Accessing Surgery for Glioblastoma in Low-Middle Income Countries: A Narrative Review

Glioblastoma: a highly aggressive brain tumor, presents substantial challenges in treatment and management, with surgical intervention playing a pivotal role in improving patient outcomes. Disparities in access to brain tumor surgery arise from a multitude of factors, including socioeconomic status, geographical location, and healthcare resource allocation. Low- and middle-income countries (LMICs) often face significant barriers to accessing surgical services, such as shortages of specialized neurosurgical expertise, limited healthcare infrastructure, and financial constraints. Consequently, glioblastoma patients in LMICs experience delays in diagnosis, suboptimal treatment, and poorer clinical outcomes compared to patients in high-income countries (HICs). The clinical impact of these disparities is profound. Patients in LMICs are more likely to be diagnosed at advanced disease stages, receive less effective treatment, and have lower survival rates than their counterparts in HICs. Additionally, disparities in access to surgical care exacerbate economic and societal burdens, emphasizing the urgent need for targeted interventions and health policy reforms to address healthcare inequities. This review highlights the importance of addressing global disparities in access to brain tumor surgery for glioblastoma through collaborative efforts, policy advocacy, and resource allocation, aiming to improve outcomes and promote equity in surgical care delivery for all glioblastoma patients worldwide.

Exploring the impact of primary care utilization and health information exchange upon treatment patterns and clinical outcomes of glioblastoma patients

PURPOSE

There is limited literature describing care coordination for patients with glioblastoma (GBM). We aimed to investigate the impact of primary care and electronic health information exchange (HIE) between neurosurgeons, oncologists, and primary care providers (PCP) on GBM treatment patterns, postoperative outcomes, and survival.

METHODS

We identified adult GBM patients undergoing primary resection at our institution (2007-2020). HIE was defined as shared electronic medical information between PCPs, oncologists, and neurosurgeons. Multivariate logistic regression analyses were used to determine the effect of PCPs and HIE upon initiation and completion of adjuvant therapy. Kaplan-Meier and multivariate Cox regression models were used to evaluate overall survival (OS).

RESULTS

Among 374 patients (mean age ± SD: 57.7 ± 13.5, 39.0% female), 81.0% had a PCP and 62.4% had electronic HIE. In multivariate analyses, having a PCP was associated with initiation (OR: 7.9, P < 0.001) and completion (OR: 4.4, P < 0.001) of 6 weeks of concomitant chemoradiation, as well as initiation (OR: 4.0, P < 0.001) and completion (OR: 3.0, P = 0.007) of 6 cycles of maintenance temozolomide thereafter. Having a PCP (median OS [95%CI]: 14.6[13.1-16.1] vs. 10.8[8.2-13.3] months, P = 0.005) and HIE (15.40[12.82-17.98] vs. 13.80[12.51-15.09] months, P = 0.029) were associated with improved OS relative to counterparts in Kaplan-Meier analysis and in multivariate Cox regression analysis (hazard ratio [HR] = 0.7, [95% CI] 0.5-1.0, P = 0.048). In multivariate analyses, chemoradiation (HR = 0.34, [95% CI] 0.2-0.7, P = 0.002) and maintenance temozolomide (HR = 0.5, 95%CI 0.3-0.8, P = 0.002) were associated with improved OS relative to counterparts.

CONCLUSION

Effective care coordination between neurosurgeons, oncologists, and PCPs may offer a modifiable avenue to improve GBM outcomes.

County-level disparities in care for patients with glioblastoma

OBJECTIVE

Racial and socioeconomic disparities in neuro-oncological care for patients with brain tumors remain underexplored. This study aimed to analyze county-level disparities in glioblastoma (GBM) care in the United States, focusing on access to surgery and the use of adjuvant temozolomide chemotherapy and radiation therapy.

METHODS

Using repeated cross-sectional data from the Surveillance, Epidemiology, and End Results 17 database; the Area Health Resources File; and the American Community Survey, from 2010 to 2019, the authors performed multivariate regression analyses to understand the associations between county-level racial and socioeconomic characteristics, as well as the rates of surgery performed, delays in surgery, and use of adjuvant chemotherapy and radiation therapy for newly diagnosed GBM.

RESULTS

In total, 29,609 GBM patients from 602 different US counties over a decade were included in this study. Counties with lower rates of surgery for GBM were associated with a higher percentage of Black residents (coefficient [CE] -0.001, 95% CI -0.002 to 0; p < 0.05) and being located in the Midwest (CE -0.132, 95% CI -0.195 to -0.069; p < 0.001) or West (CE -0.127, 95% CI -0.189 to -0.065; p < 0.001) relative to the Northeast. Counties with delayed surgical treatment were more likely to lack neurosurgeons (adjusted OR [aOR] 2.52, 95% CI 1.77-3.60; p < 0.001), have a higher percentage of Black residents (aOR 1.011, 95% CI 1.00-1.02; p < 0.05), and be located in the Midwest (aOR 3.042, 95% CI 1.12-8.24; p < 0.05) or West (aOR 3.175, 95% CI 1.12-8.97 p < 0.05). Counties with high rates of adjuvant radiation therapy were less likely to have higher percentages of Black residents (aOR 0.987, 95% CI 0.980-0.995; p < 0.01) and uninsured individuals (aOR 0.962, 95% CI 0.937-0.987; p < 0.01).

CONCLUSIONS

Counties without neurosurgeons and those with a higher percentage of Black patients have delays in surgical care and demonstrate lower overall rates of surgery and adjuvant therapy for GBM. This study underscores the need for targeted interventions and policies that address structural barriers in healthcare access, improve equitable distribution of the neurosurgery workforce, and ensure timely and comprehensive GBM care to all populations.

An evaluation of biobanking and therapeutic clinical trial representation among adult glioma patients from rural and urban Utah

Background

Social determinants of health (SDOHs)-specifically those related to rurality, health care accessibility, and income-may play as-yet-unidentified roles in prognosis for glioma patients, and their impact on access to clinical trials is important to understand. We examined SDOHs of patients enrolled in glioma clinical trials and evaluate disparities in trial participation and outcomes between rural and urban patients.

Methods

We retrospectively identified patients enrolled in glioma clinical trials at Huntsman Cancer Institute (HCI) from May 2012 to May 2022 to evaluate clinical trial participation. We used multivariable models to evaluate SDOHs and geographic information system mapping to assess representation across Utah's counties. We utilized the most recent 10-year datasets of patients treated for glioma at HCI and from the Utah Cancer Registry to analyze survival and incidence, respectively.

Results

A total of 570 participants (68 trials) resided in Utah, 84.4% from urban counties, 13.5% from rural counties, and 2.1% from frontier (least-populous) counties. Nineteen counties (65.5%) were underrepresented in trials (enrolled participants vs. eligible), 1 (3.5%) was represented in a near-1:1 ratio, and 9 (31.0%) were overrepresented. Counties with greater enrollment had greater population densities, highest per-capita income, and proximity to HCI. Among patients treated at HCI, patients from rural/frontier counties had equivalent survival with urban patients across nearly all glioma types, including glioblastomas, despite underrepresentation in clinical trials.

Conclusions

By highlighting disparities in clinical trial enrollment, our results can support efforts to improve recruitment in underrepresented regions, which can assist providers in delivering equitable care for all patients.

Racial and socioeconomic disparities in glioblastoma outcomes: A single-center, retrospective cohort study

BACKGROUND

Glioblastoma (GBM) is the most common malignant primary brain tumor. Emerging reports have suggested that racial and socioeconomic disparities influence the outcomes of patients with GBM. No studies to date have investigated these disparities controlling for isocitrate dehydrogenase (IDH) mutation and O-6-methylguanine-DNA methyltransferase (MGMT) status.

METHODS

Adult patients with GBM were retrospectively reviewed at a single institution from 2008 to 2019. Univariable and multivariable complete survival analyses were performed. A Cox proportional hazards model was used to assess the effect of race and socioeconomic status controlling for a priori selected variables with known relevance to survival.

RESULTS

In total, 995 patients met inclusion criteria. Of these, 117 patients (11.7%) were African American (AA). The median overall survival for the entire cohort was 14.23 months. In the multivariable model, AA patients had better survival compared with White patients (hazard ratio [HR], 0.37; 95% confidence interval [CI], 0.2-0.69). The observed survival difference was significant in both a complete case analysis model and a multiple imputations model accounting for missing molecular data and controlling for treatment and socioeconomic status. AA patients with low income (HR, 2.17; 95% CI, 1.04-4.50), public insurance (HR, 2.25; 95% CI, 1.04-4.87), or no insurance (HR, 15.63; 95% CI, 2.72-89.67) had worse survival compared with White patients with low income, public insurance, or no insurance, respectively.

CONCLUSIONS

Significant racial and socioeconomic disparities were identified after controlling for treatment, GBM genetic profile, and other variables associated with survival. Overall, AA patients demonstrated better survival. These findings may suggest the possibility of a protective genetic advantage in AA patients.

PLAIN LANGUAGE SUMMARY

To best personalize treatment for and understand the causes of glioblastoma, racial and socioeconomic influences must be examined. The authors report their experience at the O'Neal Comprehensive Cancer Center in the deep south. In this report, contemporary molecular diagnostic data are included. The authors conclude that there are significant racial and socioeconomic disparities that influence glioblastoma outcome and that African American patients do better.

Glioblastoma management in a lower middle-income country: Nationwide study of compliance with standard care protocols and survival outcomes in Ukraine

Background

The effective treatment of high-grade gliomas is a complex problem that requires ubiquitous implementation of sophisticated therapy protocols. The present study aimed to perform population-based analysis of glioblastoma management in lower-middle-income countries.

Methods

The National Cancer Registry of Ukraine was screened for the records of adult patients with primary glioblastomas diagnosed in 2015-2019. Survival analysis was performed using Kaplan-Meier method and a multivariable Cox model.

Results

A total of 2973 adult patients with histologically confirmed glioblastoma were included in the study. Mean age of patients was 55.6 ± 11.4 years, males slightly prevailed-1541 (51.8%) cases. The completed clinical protocol including surgery followed by chemoradiotherapy was applied only in 658 (19.0%) patients. The minority of patients 743 (25.0%) were treated at the academic medical centers, where patients were more likely to receive combined treatment 70.1% compared with 57.9% (P  = .0001) at the community hospitals. The overall median survival was 10.6 ± 0.2 months, and the 2-year survival rate was 17%. The number of utilized treatment modalities contributed to better survival rates and was associated with lower hazard ratio: Protocol with 2 modalities - 0.62 (P = .0001), 3 modalities - 0.48 (P = .0001).

Conclusions

The management of glioblastoma in lower-middle-income countries is characterized by insufficient availability of treatment in academic medical centers and low rates of advanced therapy application. Survival analysis showed similar prognostic risk factors and outcomes compared with high-income countries.

Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients

Introduction

Poor outcomes in glioblastoma patients, despite advancing treatment paradigms, indicate a need to determine non-physiologic prognostic indicators of patient outcome. The impact of specific socioeconomic and demographic patient factors on outcomes is unclear. We sought to identify socioeconomic and demographic patient characteristics associated with patient survival and tumor progression, and to characterize treatment options and healthcare utilization.

Methods

A cohort of 169 patients with pathologically confirmed glioblastomas treated at our institution was retrospectively reviewed. Multivariable cox proportional hazards analysis for overall survival (OS) and cumulative incidence of progression was performed. Differences in treatment regimen, patient characteristics, and neuro-oncology office use between different age and depressive disorder history patient subgroups were calculated two-sample t-tests, Fisher's exact tests, or linear regression analysis.

Results

The median age of all patients at the time of initiation of radiation therapy was 60.5 years. The median OS of the cohort was 13.1 months. Multivariable analysis identified age (Hazard Ratio 1.02, 95% CI 1.00–1.04) and total resection (Hazard Ratio 0.52, 95% CI 0.33–0.82) as significant predictors of OS. Increased number of radiation fractions (Hazard Ratio 0.90, 95% CI 0.82–0.98), depressive disorder history (Hazard Ratio 0.59, 95% CI 0.37–0.95), and total resection (Hazard Ratio 0.52, 95% CI 0.31–0.88) were associated with decreased incidence of progression. Notably, patients with depressive disorder history were observed to have more neuro-oncology physician office visits over time (median 12 vs. 16 visits, p = 0.0121). Patients older than 60 years and those with Medicare (vs. private) insurance were less likely to receive as many radiation fractions (p = 0.0014) or receive temozolomide concurrently with radiation (Odds Ratio 0.46, p = 0.0139).

Conclusion

Older glioblastoma patients were less likely to receive as diverse of a treatment regimen as their younger counterparts, which may be partially driven by insurance type. Patients with depressive disorder history exhibited reduced incidence of progression, which may be due to more frequent health care contact during neuro-oncology physician office visits.

The Association of Preoperative Frailty and Neighborhood-Level Disadvantage with Outcome in Patients with Newly Diagnosed High Grade Glioma

OBJECTIVE

Individual patient and socioeconomic factors are underexplored prognostic factors for glioblastoma (GBM). Frailty, a measure of physiological vulnerability, and area deprivation, a measure of socioeconomic status, are easily obtained during the preoperative evaluation. These metrics are predictors of outcome and access to treatments for other cancers. Therefore, we sought to determine the association of frailty and neighborhood disadvantage with outcomes of patients with newly diagnosed GBM.

METHODS

This was a retrospective review of newly diagnosed patients with GBM undergoing surgery from 2015 through 2020. The 5-factor modified frailty index and national area deprivation index were determined for each patient.

RESULTS

There were 244 patients. Compared with patients with "some or no" frailty, patients with "significant" frailty had a shorter median survival: 273 days (95% confidence interval [CI] 126-339) versus 393 days (95% CI 317-458), P = 0.008. The median survival for patients living in the most disadvantaged neighborhoods, 210 days (95% CI 134-334), was significantly lower than for those living in the least, 384 days (95% CI 239-484), P = 0.17. Twenty-five percent of patients living in the most disadvantaged neighborhoods did not receive postoperative chemoradiation compared with 11% of patients in the least disadvantaged neighborhoods, P = 0.046. Similarly, patients of color were less likely to receive standard of care chemoradiation than White patients.

CONCLUSIONS

Increasing frailty and neighborhood disadvantage predict worse outcomes in newly diagnosed patients with GBM undergoing surgery. Patients living in the most-deprived neighborhoods are less likely to receive postoperative chemoradiation. Identification of nontraditional predictors of treatment access and survival will inform mitigation strategies and improve outcomes.

Predicting access to postoperative treatment after glioblastoma resection: an analysis of neighborhood-level disadvantage using the Area Deprivation Index (ADI)

PURPOSE

Social determinants of health (SDoH)-socioeconomic and environmental factors-impact outcomes. The Area Deprivation Index (ADI), a composite of seventeen SDoH factors, has been correlated with poorer outcomes. We aimed to compare outcomes and treatment access for glioblastoma, a universally fatal malignant brain tumor, in patients more (ADI 34-100%) versus less disadvantaged (ADI 0-33%).

METHODS

A 5-year retrospective study of Rhode Island Hospital and Mayo Clinic databases was conducted from 2012 to 2017 for patients ≥ 18 years with glioblastoma. Patient addresses were matched to ADI percentiles and grouped into more (top 66% ADI) and less disadvantaged. Adjusted multivariable regressions were used to compare outcomes between groups.

RESULTS

A total of 434 patients met inclusion; 92.9% were insured, 56.2% were more disadvantaged (n = 244), and the more disadvantaged cohort was younger on average (62 years). After adjustment, the more disadvantaged group had decreased odds of receiving gross total resection (adjusted odds ratio (aOR) 0.43, 95% CI [0.27-0.68]; p < 0.001). This cohort also had decreased odds of undergoing chemotherapy (aOR 0.51[0.26-0.98]), radiation (aOR 0.39[0.20-0.77]), chemoradiation (aOR 0.42[0.23-0.77]), tumor-treating fields (aOR 0.39[0.16-0.93]), and clinical trial participation (aOR 0.47[0.25-0.91]). No differences in length of survival or postoperative Karnofsky Performance Status Scale were observed.

CONCLUSION

More disadvantaged glioblastoma patients had decreased odds of receiving gross total resection. They also exhibited decreased odds of receiving standard of care like chemoradiation as well as participating in a clinical trial, compared to the less disadvantaged group. More research is needed to identify modifiable SDoH barriers to post-operative treatment in disadvantaged patients with glioblastoma.

Socioeconomic factors affecting survivorship of glioblastoma patients in the Philippines

Glioblastoma (GBM) is the most common malignant primary brain tumor in adults worldwide. However, data on the survivorship of GBM patients in low- and middle-income countries is sparse. We determined whether socioeconomic factors such as marital status, place of residence, educational attainment, employment status, and income affected survival. A retrospective cohort study of surgically managed GBM patients (n = 48) in a single center over a five-year period was conducted using chart review and telephone interview. The mean age was 41 years, with a male predilection (62%). Most patients were married (73%), employed full time (79%), resided in a rural location (56%), completed secondary education (44%), and had a low income (83%). Most of the tumors were > 5 cm at the time of diagnosis (90%) and involved more than one lobe (40%). Majority underwent subtotal resection (56%). Only 15% (n = 7) had adjuvant chemoradiation while 23% (n = 11) had radiotherapy alone. Median overall survival was 7.6 months. Multivariate analysis showed that extent of resection (gross total resection, p = 0.0033; subtotal resection, p = 0.0069) and adjuvant treatment (p = 0.0254) were associated with improved survival, while low income (p = 0.0178) and educational (p = 0.0206) levels and part-time employment (p = 0.0063) were associated with decreased survival. Many GBM patients at our center presented at an advanced stage in their natural history, and majority (62%) did not receive adjuvant treatment after surgery. As such, the median overall survival was less than that reported in developed countries. Of the socioeconomic factors analyzed, low income and educational levels and part-time employment were negatively associated with survivorship.

Brain tumor craniotomy outcomes for dual-eligible medicare and medicaid patients: a 10-year nationwide analysis

INTRODUCTION

Dual-eligible (DE) patients, simultaneous Medicare and Medicaid beneficiaries, have been shown to have poorer clinical outcomes while incurring higher resource utilization. However, neurosurgical oncology outcomes for DE patients are poorly characterized. Accordingly, we examined the impact of DE status on perioperative outcomes following glioma, meningioma, or metastasis resection.

METHODS

We identified all admissions undergoing a craniotomy for glioma, meningioma, or metastasis resection in the National Inpatient Sample from 2002 to 2011. Assessed outcomes included inpatient mortality, complications, discharge disposition, length of stay (LOS), and hospital costs. Multivariable regression adjusting for 13 patient, severity, and hospital characteristics assessed the association between DE status and outcomes, relative to four reference insurance groups (Medicare-only, Medicaid-only, private insurance, self-pay).

RESULTS

Of 195,725 total admissions analyzed, 3.0% were dual-eligible beneficiaries (n = 5933). DEs were younger than Medicare admissions (P < 0.001) but older than Medicaid, private, and self-pay admissions (P < 0.001). Relative to other insurance groups, DEs also exhibited higher severity of illness, risk of mortality, and Charlson Comorbidity Index scores as well as treatment at low-volume hospitals (all P < 0.001). DEs had lower mortality than self-pay admissions (odds ratio [OR] 0.47, P = 0.017). Compared to Medicare, Medicaid, private, and self-pay admissions, DEs had lower rates of discharge disposition (OR 0.53, 0.50, 0.34, and 0.27, respectively, all P < 0.001). DEs also had higher complications (OR 1.23 and 1.20, respectively, both P < 0.05) and LOS (β = 1.06 and 1.13, respectively, both P < 0.01) than Medicare and private insurance beneficiaries. Differences in discharge disposition remained significant for all three tumor subtypes, but only glioma DE admissions continued to exhibit higher complications and LOS.

CONCLUSIONS

DEs undergoing definitive craniotomy for brain tumor had higher rates of unfavorable discharge disposition compared to all other insurance groups and, especially for glioma surgery, had higher inpatient complication rates and LOS. Practice and policy reforms to improve outcomes for this vulnerable clinical population are warranted.

Disparities in Reported Testing for 1p/19q Codeletion in Oligodendroglioma and Oligoastrocytoma Patients: An Analysis of the National Cancer Database

Purpose

A chromosomal 1p/19q codeletion was included as a required diagnostic component of oligodendrogliomas in the 2016 World Health Organization (WHO) classification of central nervous system tumors. We sought to evaluate disparities in reported testing for 1p/19q codeletion among oligodendroglioma and oligoastrocytoma patients before and after the guidelines.

Methods

The National Cancer Database (NCDB) was queried for patients with histologically-confirmed WHO grade II/III oligodendroglioma or oligoastrocytoma from 2011-2017. Adjusted odds of having a reported 1p/19q codeletion test for patient- and hospital-level factors were calculated before (2011-2015) and after (2017) the guidelines. The adjusted likelihood of receiving adjuvant treatment (chemotherapy and/or radiotherapy) based on reported testing was also evaluated.

Results

Overall, 6,404 patients were identified. The reported 1p/19q codeletion testing rate increased from 45.8% in 2011 to 59.8% in 2017. From 2011-2015, lack of insurance (OR 0.77; 95% CI 0.62-0.97;p=0.025), lower zip code-level educational attainment (OR 0.62; 95% CI 0.49-0.78;p<0.001), and Northeast (OR 0.68; 95% CI 0.57-0.82;p<0.001) or Southern (OR 0.62; 95% CI 0.49-0.79;p<0.001) facility geographic region were negatively associated with reported testing. In 2017, Black race (OR 0.49; 95% CI 0.26-0.91;p=0.024) and Northeast (OR 0.50; 95% CI 0.30-0.84;p=0.009) or Southern (OR 0.42; 95% CI 0.22-0.78;p=0.007) region were negatively associated with reported testing. Patients with a reported test were more likely to receive adjuvant treatment (OR 1.73; 95% CI 1.46-2.04;p<0.001).

Conclusion

Despite the 2016 WHO guidelines, disparities in reported 1p/19q codeletion testing by geographic region persisted while new disparities in race/ethnicity were identified, which may influence oligodendroglioma and oligoastrocytoma patient management.

Systematic Review of Racial, Socioeconomic, and Insurance Status Disparities in Neurosurgical Care for Intracranial Tumors

BACKGROUND

The impact of race, socioeconomic status (SES), insurance status, and other social metrics on the outcomes of patients with intracranial tumors has been reported in several studies. However, these findings have not been comprehensively summarized.

METHODS

We conducted a PRISMA systematic review of all published articles between 1990 and 2020 that analyzed intracranial tumor disparities, including race, SES, insurance status, and safety-net hospital status. Outcomes measured include access, standards of care, receipt of surgery, extent of resection, mortality, complications, length of stay (LOS), discharge disposition, readmission rate, and hospital charges.

RESULTS

Fifty-five studies were included. Disparities in mortality were reported in 27 studies (47%), showing minority status and lower SES associated with poorer survival outcomes in 14 studies (52%). Twenty-seven studies showed that African American patients had worse outcomes across all included metrics including mortality, rates of surgical intervention, extent of resection, LOS, discharge disposition, and complication rates. Thirty studies showed that privately insured patients and patients with higher SES had better outcomes, including lower mortality, complication, and readmission rates. Six studies showed that worse outcomes were associated with treatment at safety-net and/or low-volume hospitals. The influence of Medicare or Medicaid status, or inequities affecting other minorities, was less clearly delineated. Ten studies (18%) were negative for evidence of disparities.

CONCLUSIONS

Significant disparities exist among patients with intracranial tumors, particularly affecting patients of African American race and lower SES. Efforts at the hospital, state, and national level must be undertaken to identify root causes of these issues.

Social determinants of health and survival on Brazilian patients with glioblastoma: a retrospective analysis of a large populational database

Background

The majority of patients diagnosed with glioblastoma develop recurrent disease resulting in poor prognoses. The current study aimed to determine the survival rates of patients diagnosed with glioblastoma in Brazil accounting for the influence of age, treatment modalities, public and private practices, and educational level using a population-based national database.

Methods

Patients diagnosed with glioblastoma from 1999-2020 were identified from The Fundação Oncocentro de São Paulo database to create a retrospective cohort. Patients were described according to age, education level treatment modalities and medical practice. In a Cox proportional hazards model, controlled for confounding factors for overall survival, the hazard ratio and 95% CI of overall survival in adults was evaluated.

Findings

A total of 4,511 patients were included. The median lengths of survival for patients treated in the public and private settings were 8 and 17 months (p<0.001), respectively. Young patients had longer median overall survival (OS: 18 to 40 years, 41 to 60 years, 61 to 65 years, 66 to 70 years and over than 70 years was 22 months, 10 months, 6 months, 5 months, 4 months, respectively (p<0.001). In general, combined treatments were associated with higher median survival compared to monotherapy. The higher educational level, the higher median survival was observed (4 months for illiterate versus 14 months for university degree). In the multivariable analyses, the significant independent predictors for overall survival were practice setting, educational level, age and treatment modalities.

Interpretation

Public practice, older patients, less intensive treatment, and lower educational level were associated with worse survival outcomes in Brazilian glioblastoma patients.

Racial/ethnic disparities in treatment pattern and time to treatment for adults with glioblastoma in the US

PURPOSE

Race/ethnicity have been previously shown to significantly affect survival after diagnosis with glioblastoma, but the cause of this survival difference is not known. The aim of this study was to examine variation in treatment pattern and time to treatment by race/ethnicity, and the extent to which this affects survival.

METHODS

Data were obtained from the National Cancer Database (NCDB) for adults ≥ 40 with glioblastoma from 2004 to 2016 (N = 68,979). Treatment patterns and time to treatment by race/ethnicity were compared using univariable and multivariable logistic and linear regression models, respectively, and adjusted for known prognostic factors and factors potentially affecting health care access.

RESULTS

Black non-Hispanics (BNH) and Hispanics were less likely to receive radiation and less likely to receive chemotherapy as compared to White non-Hispanics (WNH). Time to radiation initiation was ~ 2 days longer and time to chemotherapy initiation was ~ 4 days longer in both groups in comparison to WNH.

CONCLUSION

Both race/ethnicity and treatment timing significantly affected survival time, and this association remained after adjustment for known prognostic factors. Additional research is necessary to disentangle the specific causal factors, and the mechanism with which they affect survival.

Comparative preoperative characteristics and postoperative outcomes at a private versus a safety-net hospital following endoscopic endonasal transsphenoidal resection of pituitary adenomas

OBJECTIVE

Sociodemographic disparities in health outcomes are well documented, but the effects of such disparities on preoperative presentation of pituitary adenomas (PA) and surgical outcomes following resection are not completely understood. In this study the authors sought to compare the preoperative clinical characteristics and postoperative outcomes in patients undergoing PA resection at a private hospital (PH) versus a safety-net hospital (SNH).

METHODS

The authors conducted a retrospective review over a 36-month period of patients with PAs who underwent endoscopic endonasal transsphenoidal surgery performed by the same attending neurosurgeon at either a PH or an SNH at a single academic medical institution.

RESULTS

A total of 92 PH patients and 69 SNH patients were included. SNH patients were more likely to be uninsured or have Medicaid (88.4% vs 10.9%, p < 0.0001). A larger percentage of SNH patients were Hispanic (98.7% vs 32.6% p < 0.0001), while PH patients were more likely to be non-Hispanic white (39.1% vs 4.3%, p < 0.0001). SNH patients had a larger mean PA diameter (26.2 vs 22.4 mm, p = 0.0347) and a higher rate of bilateral cavernous sinus invasion (13% vs 4.3%, p = 0.0451). SNH patients were more likely to present with headache (68.1% vs 45.7%, p = 0.0048), vision loss (63.8% vs 35.9%, p < 0.0005), panhypopituitarism (18.8% vs 4.3%, p = 0.0031), and pituitary apoplexy (18.8% vs 7.6%, p = 0.0334). Compared to PH patients, SNH patients were as likely to undergo gross-total resection (73.9% vs 76.1%, p = 0.7499) and had similar rates of postoperative improvement in headache (80% vs 89%, p = 0.14) and vision (82% vs 84%, p = 0.74), but had higher rates of postoperative panhypopituitarism (23% vs 10%, p = 0.04) driven by preoperative endocrinopathies. Although there were no differences in tumor recurrence or progression, loss to follow-up was seen in 7.6% of PH versus 18.6% (p = 0.04) of SNH patients.

CONCLUSIONS

Patients presenting to the SNH were more often uninsured or on Medicaid and presented with larger, more advanced pituitary tumors. SNH patients were more likely to present with headaches, vision loss, and apoplexy, likely translating to greater improvements in headache and vision observed after surgery. These findings highlight the association between medically underserved populations and more advanced disease states at presentation, and underscore the likely role of academic tertiary multidisciplinary care teams and endoscopic PA resection in somewhat mitigating sociodemographic factors known to portend poorer outcomes, though longer-term follow-up is needed to confirm these findings.

Delivering Equitable Care to Underserved Neuro-oncology Populations

It is widely recognized that subspecialized multidisciplinary care improves neuro-oncology outcomes. Optimizing patient outcomes relies on the expertise of the treating physicians, neuroradiology and neuropathology, and supportive services familiar with common neurologic syndromes that occur after brain tumor diagnosis and treatment. Despite an increasing number of providers, patient access to specialized multidisciplinary care and clinical trials remains limited. Barriers to equitable health care exist across the United States, with marginalized communities being impacted disproportionately. Such disparity causes increased morbidity and mortality for patients from backgrounds with various elements of diversity. Limited attention to this inequity has resulted in an incomplete understanding of the spectrum of experiences that patients with neuro-oncologic diseases encounter. Clinical trials represent the highest standard and quality of care in medicine, but inclusion of under-represented and underserved groups consistently lags behind counterpart participants from majority racial and ethnic groups. Through provider education as it pertains to issues from bias and health literacy to increasing clinical trial enrollment and offering opportunities through telemedicine, opportunities for improving access to high-quality neuro-oncologic care are explored.

Association between socioeconomic status and survival in glioblastoma: An Italian single-centre prospective observational study

BACKGROUND

To date, no prospective study has been conducted to investigate the role of socioeconomic status (SES) on clinical outcome of glioblastoma (GBM) in Italy, where there is a National Health Service that provides universal coverage regardless of the patient's economic status.

METHODS

We performed a prospective observational study investigating the association between SES and survival in GBM patients at our institution, a hub centre for brain cancer research and treatment. We included GBM patients who underwent medical treatment or chemo-radiation between April 2017 and December 2017. The SES was measured using the income-brackets, attributed by the Italian Ministry of Finance on the basis of the income of the fiscal family unit, referring to the previous year.

RESULTS

One hundred and six patients were included in the study. In multivariate analysis, overall survival (OS) correlated significantly with higher-income (HR = 0.623.95% CI 0.467-0.832; p = 0.001) and MGMT methylation status (HR = 0.158.95% CI 0.082-0.304; P < 0.001). When adjusted for age, performance status and extension of surgery, survival benefit remained superior for higher-income HR = 0.641 (95% CI 0.478-0.858; p = 0.003) and MGMT methylated tumours HR = 0.167 (95% CI 0.084-0.331; p < 0.001).

CONCLUSIONS

SES is an important determinant of prognosis in GBM even in the Italian National Health Service, which provides universal, largely free and relatively comprehensive healthcare. Despite aspirations to achieve equality in healthcare, socioeconomic differences exist and may impact the clinical outcome.

Timing of Chemoradiation in Newly Diagnosed Glioblastoma: Comparative Analysis Between County and Managed Care Health Care Models

BACKGROUND

Glioblastoma multiforme (GBM) is a primary brain malignancy with significant morbidity and mortality. The current standard of treatment for GBM is surgery followed by radiotherapy and temozolomide. Despite an established treatment protocol, there exists heterogeneity in outcomes due to patients not receiving all treatments. We analyzed patients in different health care models to investigate this heterogeneity.

METHODS

A retrospective analysis was performed at 2 hospitals in San Bernardino County, California, for patients with newly diagnosed GBM from 2004 to 2019. Patients younger than 18 years of age, with history of low-grade glioma, who had undergone prior treatment, and those lost to follow-up were excluded.

RESULTS

A total of 57 patients were included in our study. Chemotherapy was started at 41 ± 30 and 77 ± 68 days in the health maintenance organization (HMO) and county model, respectively (P = 0.050); radiation therapy was started at 46 ± 34 and 85 ± 76 days in the HMO and county models, respectively (P = 0.036). In individuals who underwent both chemotherapy and radiation therapy (XRT), the difference in time to XRT was no longer significant (P = 0.060). Recurrence time was 309 ± 263 and 212 ± 180 days in the HMO and county groups, respectively (P = 0.379). The time to death was 412 ± 285 and 343 ± 304 days for HMO and county models, respectively (P = 0.334).

CONCLUSIONS

Our study demonstrates a statistically significant difference in time to adjuvant therapies between patients within a county hospital and a managed health care organization. This information has the potential to inform future policies and care coordination for patients within the county model.

Racial Disparities in Malignant Primary Brain Tumor Survival in Texas From 1995 to 2013

BACKGROUND

Differences among the top five races in Texas will be explored to determine if racial, geographic, and healthcare disparities exist in patients undergoing treatment for a primary malignant brain tumor.

METHODS

Data were obtained from the Texas Cancer Registry from 1995 to 2013. SAS 9.3 (SAS Institute, Inc., Cary, NC) and SEER*Stat 8.3.2 (National Cancer Institute, Bethesda, MD) software were used to analyze death from malignant brain tumors and cause-specific survival. Survival rates were compared using Kaplan-Meier curves and Log-Rank tests. Hazard ratios were estimated using the Cox proportional hazards regression model.

RESULTS

Median survival was highest among Asians at 92 months (95% CI: 72, 142) and least among Whites at 20 months (95% CI: 19, 21). Patients living in the Upper Gulf Coast region of Texas had the longest survival time at 31 months (95% CI 29-35%), while those patients in the Texas Panhandle had the shortest survival time at 18 months (95% CI 14-23%). Patients with a poverty index of 0-5% had the highest median survival time of 32 months (95% CI 29-35%), as compared to patients with a poverty index of 10-20% who had a median survival of 22 months (95% CI 21-24%).

CONCLUSIONS

Ethnic minorities and higher socioeconomic class demonstrated survival advantage. White males had the worst survival of those with primary malignant brain tumors. Other significant factors affecting a patient's survival rate included geographic location, poverty index, sex, and age, thus suggesting a potential genetic and environmental influence.

Comparative Analysis of Survival Outcomes and Prognostic Factors of Supratentorial versus Cerebellar Glioblastoma in the Elderly: Does Location Really Matter?

BACKGROUND

Cerebellar glioblastomas (cGBMs) are rare tumors that are uncommon in the elderly. In this study, we compare survival outcomes and identify prognostic factors of cGBM compared with the supratentorial (stGBM) counterpart in the elderly.

METHODS

Data from the SEER 18 registries were used to identify patients with a glioblastoma (GBM) diagnosis between 2000 and 2016. The log-rank method and a multivariable Cox proportional hazards regression model were used for analysis.

RESULTS

Among 110 elderly patients with cGBM, the median age was 74 years (interquartile range [IQR], 69-79 years), 39% were female and 83% were white. Of these patients, 32% underwent gross total resection, 73% radiotherapy, and 39% chemotherapy. Multivariable analysis of the unmatched and matched cohort showed that tumor location was not associated with survival; in the unmatched cohort, insurance status (hazard ratio [HR], 0.11; IQR, 0.02-0.49; P = 0.004), gross total resection (HR, 0.53; IQR, 0.30-0.91; P = 0.022), and radiotherapy (HR, 0.33; IQR, 0.18-0.61; P < 0.0001) were associated with better survival. Patients with cGBM and stGBM undergoing radiotherapy (7 months vs. 2 months; P < 0.001) and chemotherapy (10 months vs. 3 months; P < 0.0001) had improved survival. Long-term mortality was lower for cGBM in the elderly at 24 months compared with the stGBM cohort (P = 0.007).

CONCLUSIONS

In our study, elderly patients with cGBM and stGBM have similar outcomes in overall survival, and those undergoing maximal resection with adjuvant therapies, independent of tumor location, have improved outcomes. Thus, aggressive treatment should be encouraged for cGBM in geriatric patients to confer the same survival benefits seen in stGBM. Single-institutional and multi-institutional studies to identify patient-level prognostic factors are warranted to triage the best surgical candidates.

Treatment trends and overall survival in patients with grade II/III ependymoma: The role of tumor grade and location

BACKGROUND

Treatment of ependymoma (EPN) is guided by associated tumor features, such as grade and location. However, the relationship between these features with treatments and overall survival in EPN patients remains uncharacterized. Here, we describe the change over time in treatment strategies and identify tumor characteristics that influence treatment and survival in EPN.

METHODS AND MATERIALS

Using the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) 18 Registries (1973-2016) database, we identified patients with EPN microscopically confirmed to be grade II (EPN-GII) or III (EPN-GIII) tumors between 2004-2016. Overall survival (OS) was analyzed using Kaplan-Meier survival estimates and multivariable Cox proportional hazard models. A sub-analysis was performed by tumor location (supratentorial, posterior fossa, and spine). Change over time in rates of gross total resection (GTR), radiotherapy (RT), and chemotherapy (CS) were analyzed using linear regression, and predictors of treatment were identified using multivariable logistic regression models.

RESULTS

Between 2004-2016, 1,671 patients were diagnosed with EPN, of which 1,234 (74 %) were EPN-GII and 437 (26 %) EPN-GIII. Over the study period, EPN-GII patients underwent a less aggressive treatment (48 % vs 27 %, GTR; 60 % vs 30 %, RT; 22 % vs 2%, CS; 2004 vs 2016; p < 0.01 for all). Age, tumor size, location, and grade were positive predictors of undergoing treatment. Univariate analysis revealed that tumor grade and location were significantly associated with OS (p < 0.0001 for both). In multivariable Cox regression, tumor grade was an independent predictor of OS among patients in the cohort (grade III, HR 3.89 [2.84-5.33]; p < 0.0001), with this finding remaining significant across all tumor locations.

CONCLUSIONS

In EPN, tumor grade and location are predictors of treatment and overall survival. These findings support the importance of histologic WHO grade and location in the decision-making for treatment and their role in individualizing treatment for different patient populations.

Community economic factors influence outcomes for patients with primary malignant glioma

Background

Community economics and other social health determinants influence outcomes in oncologic patient populations. We sought to explore their impact on presentation, treatment, and survival in glioma patients.

Methods

A retrospective cohort of patients with glioma (World Health Organization grades III-IV) diagnosed between 1999 and 2017 was assembled with data abstracted from medical record review. Patient factors included race, primary care provider (PCP) identified, marital status, insurance status, and employment status. Median household income based on zip code was used to classify patients as residing in high-income communities (HICs; ie, above the median state income) or low-income communities (LICs; ie, below the median state income). The Kaplan-Meier method was used to assess overall survival (OS); Cox proportional hazards regression was used to explore associations with OS.

Results

Included were 312 patients, 73% from LICs. Survivors residing in LICs and HICs did not differ by age, sex, race, tumor grade, having a PCP, employment status, insurance, time to presentation, or baseline performance status. Median OS was 4.1 months shorter for LIC patients (19.7 vs 15.6 mo; hazard ratio [HR], 0.75; 95% CI: 0.56-0.98, P = 0.04); this difference persisted with 1-year survival of 66% for HICs versus 61% for LICs at 1 year, 34% versus 24% at 3 years, and 29% versus 17% at 5 years. Multivariable analysis controlling for age, grade, and chemotherapy treatment showed a 25% lower risk of death for HIC patients (HR, 0.75; 95% CI: 0.57-0.99, P < 0.05).

Conclusions

The economic status of a glioma patient's community may influence survival. Future efforts should investigate potential mechanisms such as health care access, stress, treatment adherence, and social support.

Location as Destiny: Identifying Geospatial Disparities in Radiation Treatment Interruption by Neighborhood, Race, and Insurance

PURPOSE

Radiation therapy interruption (RTI) worsens cancer outcomes. Our purpose was to benchmark and map RTI across a region in the United States with known cancer outcome disparities.

METHODS AND MATERIALS

All radiation therapy (RT) treatments at our academic center were cataloged. Major RTI was defined as ≥5 unplanned RT appointment cancellations. Univariate and multivariable logistic and linear regression analyses identified associated factors. Major RTI was mapped by patient residence. A 2-sided P value <.0001 was considered statistically significant.

RESULTS

Between 2015 and 2017, a total of 3754 patients received RT, of whom 3744 were eligible for analysis: 962 patients (25.8%) had ≥2 RT interruptions and 337 patients (9%) had major RTI. Disparities in major RTI were seen across Medicaid versus commercial/Medicare insurance (22.5% vs 7.2%; P < .0001), low versus high predicted income (13.0% vs 5.9%; P < .0001), Black versus White race (12.0% vs 6.6%; P < .0001), and urban versus suburban treatment location (12.0% vs 6.3%; P < .0001). On multivariable analysis, increased odds of major RTI were seen for Medicaid patients (odds ratio [OR], 3.35; 95% confidence interval [CI], 2.25-5.00; P < .0001) versus those with commercial/Medicare insurance and for head and neck (OR, 3.74; 95% CI, 2.56-5.46; P < .0001), gynecologic (OR, 3.28; 95% CI, 2.09-5.15; P < .0001), and lung cancers (OR, 3.12; 95% CI, 1.96-4.97; P < .0001) compared with breast cancer. Major RTI was mapped to urban, majority Black, low-income neighborhoods and to rural, majority White, low-income regions.

CONCLUSIONS

Radiation treatment interruption disproportionately affects financially and socially vulnerable patient populations and maps to high-poverty neighborhoods. Geospatial mapping affords an opportunity to correlate RT access on a neighborhood level to inform potential intervention strategies.

Racial and socioeconomic disparities differentially affect overall and cause-specific survival in glioblastoma

INTRODUCTION

The prognostic role of racial and socioeconomic factors in patients with glioblastoma is controversially debated. We aimed to evaluate how these factors may affect survival outcomes in an overall and cause-specific manner using large, national cancer registry cohort data in the temozolomide chemoradiation era.

METHODS

The National Cancer Institute's Surveillance, Epidemiology, and End Results database was queried for patients diagnosed with glioblastoma between 2005 and 2016. Overall survival was assessed using Cox proportional hazard models using disease intrinsic and extrinsic factors. Cause-specific mortality was assessed using cumulative incidence curves and modeled using multivariate cumulative risk regression.

RESULTS

A total of 28,952 patients met the prespecified inclusion criteria and were included in this analysis. The following factors were associated with all-cause mortality: age, calendar year of diagnosis, sex, treatment receipt, tumor size, tumor location, extent of resection, median household income, and race. Asian/Pacific Islanders and Hispanic Whites had lower mortality compared to Non-Hispanic Whites. Cause-specific mortality was associated with both racial and socioeconomic groups. After adjusting for treatment and tumor-related factors, Asian/Pacific and black patients had lower glioblastoma-specific mortality. However, lower median household income and black race were associated with significantly higher non-glioblastoma mortality.

CONCLUSIONS

Despite the aggressive nature of glioblastoma, racial and socioeconomic factors influence glioblastoma-specific and non-glioblastoma associated mortality. Our study shows that patient race has an impact on glioblastoma-associated mortality independently of tumor and treatment related factors. Importantly, socioeconomic and racial differences largely contribute to non-glioblastoma mortality, including death from other cancers, cardio- and cerebrovascular events.

Survival among patients with glioma in the US Military Health System: A comparison with patients in the Surveillance, Epidemiology, and End Results program

BACKGROUND

Glioma is the most common malignant brain cancer. Accessibility to health care is an important factor affecting cancer outcomes in the US general population. The US Military Health System (MHS) provides universal health care to its beneficiaries. It is unknown whether this universal health care has translated into improved survival outcomes among MHS beneficiaries with glioma. This study compared the overall survival of patients with glioma in the MHS with the overall survival of patients with glioma in the general population.

METHODS

The MHS cases were identified from the Department of Defense's Automated Central Tumor Registry (ACTUR). Glioma cases from the general population were identified from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program. SEER cases were matched 2:1 to ACTUR cases by age, sex, race, histology, and diagnosis year. All cases had histologically confirmed glioma diagnosed between January 1, 1987, and December 31, 2013. A Kaplan-Meier analysis was conducted to compare survival between the ACTUR and SEER cases. Multivariable Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

The study included 2231 glioma cases from ACTUR and 4462 cases from SEER. ACTUR cases exhibited significantly better overall survival than SEER cases (HR, 0.74; 95% CI, 0.67-0.83). The survival advantage of the ACTUR patients was observed in most subgroups stratified by age, sex, race, diagnosis year, and histology. For glioblastoma, the survival advantage was observed in both the pre- and post-temozolomide periods.

CONCLUSIONS

Universal MHS health care may have translated into improved survival outcomes in glioma. Future studies are warranted to identify factors contributing to the improved survival.

Geographic disparities in access to glioblastoma treatment based on Hispanic ethnicity in the United States: Insights from a national database

BACKGROUND

Access to treatment for glioblastoma (GBM) can be impacted by multiple demographic parameters. Barriers specific to the Hispanic population of the United States (US) are not fully understood. Therefore, the aim of this study was to elucidate geographic disparities for access to GBM treatment in the US Hispanic population.

METHODS

All GBM patients with known Hispanic ethnicity status (and Caucasian race) in the US National Cancer Database (NCDB) between the years 2005-2016 were retrospectively reviewed. Treatment statuses of surgical resection, chemotherapy, radiation therapy and triple therapy (resection, chemotherapy and radiation) were summarized, and analyzed by comparison and regression analyses over US Census regions.

RESULTS

A total cohort size of 40,232 Caucasian GBM patients were included, with 3,111 (8%) identifying as Hispanic. The odds of treatment by chemotherapy (OR 0.78, P < 0.01), radiation therapy (OR 0.82, P < 0.01) and triple therapy (OR 0.84, P < 0.01) were all significantly lower in the Hispanic group versus non-Hispanic group. The odds of being treated in the Hispanic group were significantly lower in multiple Census regions with respect to surgical resection (New England, OR 0.51; Mountain, OR 0.68), chemotherapy (East North Central, OR 0.77; Middle Atlantic, OR 0.71; Pacific, OR 0.77), radiation therapy (Middle Atlantic, OR 0.77) and triple therapy (New England, OR 0.49; Middle Atlantic, OR 0.87; Pacific, OR 0.84). Significant barriers to triple therapy in the Hispanic group within these regions were older age (OR 0.97; P < 0.01), treatment in a community facility (OR 0.85, P = 0.03), lack of insurance (OR 0.71, P = 0.03), yearly income < $40,227 (OR 0.69, P < 0.01), low education levels (OR 0.75, P = 0.03) and presence of co-morbidity (OR 0.82; P < 0.01).

CONCLUSIONS

Currently in the US, there exists heterogenous geographic disparities for Hispanic GBM patients to access different treatments compared to non-Hispanic patients. Multiple circumstances can influence access to treatment within the Hispanic community of these regions, and greater investigation with more granularity required to reveal mechanisms in which these disparities may be addressed in the future.

Identifying Disparities in Care in Treating Glioblastoma: A Retrospective Cohort Study of Patients Treated at a Safety-net Versus Private Hospital Setting

BACKGROUND

Patients of lower socioeconomic status (SES) may experience barriers to their oncologic care, but current data conflict over whether SES affects the prognosis of patients with glioblastoma (GB).

OBJECTIVE

We sought to determine whether SES disparities impaired delivery of neuro-oncologic care and affected the prognosis of GB patients.

METHODS

The records of GB patients treated from 2010 to 2014 at a safety-net hospital (SNH) or private hospital (PH), both served by 1 academic medical institution, were retrospectively reviewed and compared. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method.

RESULTS

A total of 55 SNH and 39 PH GB patients were analyzed with median 11-month follow-up. SNH patients were predominantly Hispanic, low income, enrolled in Medicaid, were less likely to receive radiation (89% vs. 100%), took longer to start radiation (41 vs. 29 days), and were less likely to complete radiation treatment (80% vs. 95%). Concurrent and adjuvant temozolomide use were also lower (85% vs. 94% and 60% vs. 71%, respectively). OS and PFS were not significantly different (15 vs. 16 months and 8 vs. 11 months, respectively). On multivariate analysis, adjuvant chemotherapy and RT completion predicted for better OS, whereas hospital type, income, and insurance did not.

CONCLUSION

Although GB patients at our SNH received less adjuvant treatment compared with PH, outcomes were similar. Access to multidisciplinary care staffed by academic physicians may play an important role in overcoming socioeconomic barriers to treatment availability and quality at SNHs.

Socioeconomic factors affect treatment delivery for patients with low grade glioma: a Swedish population-based study

BACKGROUND

Despite aspirations to achieve equality in healthcare we know that socioeconomic differences exist and may affect treatment and patient outcome, also in serious diseases such as cancer. We investigated disparities in neurosurgical care and outcome for patients with low-grade glioma (LGG).

METHODS

In this nationwide registry-based study, patients who had undergone surgery for LGG during 2005-2015 were identified (n = 547) through the Swedish Brain Tumor Registry. We linked data to multiple national registries with individual level data on income, education and comorbidity and analyzed the association of disease characteristics, surgical management and outcome, with levels of income, education and sex.

RESULTS

Patients with either low income, low education or female gender showed worse pre-operative performance status. Patients with low income or education also had more comorbidities and those with low education endured longer waiting times for surgery. Median time from radiological imaging to surgery was 51 days (Q1-3 27-191) for patients with low education, compared to 32 days (Q1-3 20-80) for patients with high education (p = 0.006). Differences in waiting time over educational levels remained significant after stratification for age, comorbidity, preoperative performance status, and tumor size. Overall survival was better for patients with high income or high education, but income- and education-related survival differences were not significant after adjustment for age and comorbidity. The type of surgical procedure or complications did not differ over socioeconomic groups or sex.

CONCLUSION

The neurosurgical care for LGG in Sweden, a society with universal healthcare, displays differences that can be related to socioeconomic factors.

Effect of health disparities on overall survival of patients with glioblastoma

BACKGROUND

Examine the potential effects of health disparities in survival of glioblastoma (GB) patients.

METHODS

We conducted a retrospective chart review of newly diagnosed GB patients from 2000 to 2015 at a free standing dedicated cancer center (MD Anderson Cancer Center-MDACC) and a safety net county hospital (Ben Taub General Hospital-BT) located in Houston, Texas. We obtained demographics, insurance status, extent of resection, treatments, and other known prognostic variables (Karnofsky Score-KPS) to evaluate their role on overall GB survival (OS).

RESULTS

We identified 1073 GB patients consisting of 177 from BT and 896 from MDACC. We found significant differences by ethnicity, insurance status, KPS at diagnosis, extent of resection, and percentage of patients receiving standard of care (SOC) between the two centers. OS was 1.64 years for MDACC patients and 1.24 years for BT patients (p < 0.0176). Only 81 (45.8%) BT patients received SOC compared to 577 (64%) of MDACC patients (p < 0.0001). However, there was no significant difference in OS for patients who received SOC, 1.84 years for MDACC patients and 1.99 years for BT patients (p < 0.4787). Of the 96 BT patients who did not receive SOC, 29 (30%) had KPS less than 70 at time of diagnosis and 77 (80%) lacked insurance.

CONCLUSIONS

GB patients treated at a safety net county hospital had similar OS compared to a free standing comprehensive cancer center when receiving SOC. County hospital patients had poorer KPS at diagnosis and were often lacking health insurance affecting their ability to receive SOC.