Insurance type impacts the economic burden and survival of patients with newly diagnosed glioblastoma

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.

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.

Predictors of Time to Definitive Surgery and Survival in Merkel Cell Carcinoma: Analysis of National Cancer Database

BACKGROUND

Effects of delays in treatment for Merkel cell carcinoma (MCC) are not yet fully understood.

OBJECTIVES

To determine the effect of time to treatment initiation (TTI) on mortality in MCC and predictors of TTI itself.

METHODS

Retrospective cohort analysis of the National Cancer Database (NCDB) for cases of MCC from 2004-2016, excluding individuals with Stage IV MCC as surgery is not the preferred treatment for this group.

RESULTS

A total of 12,157 patients (average age:74.4 years, SD:10.9) were included in the study, 7,491(61.6%) were male and 4,666 (38.4%) were female. Risk of higher TTI was seen in Blacks (odds ratio [OR]:1.7, 95% CI:1.2,2.6) and elderly individuals over 70 years (OR:1.7, 95% CI:1.2,2.5). On Kaplan-Meier survival analysis, individuals with TTI <30 days had a significantly longer overall survival than those with TTI >120 days (6.1 vs. 4.8 years, p=0.0002). However, after controlling for clinical and tumor factors in Cox multivariable analysis, no difference in survival was noted for TTI <30 days and TTI >120 days (Hazard Ratio [HR]:0.9, 95% CI:0.8,1.1). Worse outcomes were also associated with increasing age (HR:2.0, 95% CI:1.7,2.5), male sex (HR:1.2, 95% CI:1.2-1.3), higher CDCC (HR:1.4, 95% CI:1.3,1.5), lack of radiation therapy (HR:0.8, 95% CI:0.8-0.9), lack of private insurance (HR:0.7, 95% CI:0.6-1.0), and surgical technique other than Mohs or WLE (HR:1.2, 95% CI:1.2-1.3).

CONCLUSIONS

Although TTI is a useful prognostic metric in isolated survival analysis, its utility declines when controlling for other factors. Age, radiotherapy, type of surgery performed, co-morbidities, tumor size, and lymph node involvement may be important predictors of survival.

Anticipatory Burden in Adult-Child Caregivers: A Concept Analysis

This study aims to analyze the concept of anticipatory burden in adult-child caregivers. A systematic literature review was performed using four databases, Pubmed, CINAHL, PsycINFO and Medline, with the keywords of “anticipatory burden” and “anticipated burden”. Simplified Wilson’s classic concept analysis modified by Walker and Avant was employed to identify the attributes, antecedents and consequences of anticipatory burden in the adult-child caregivers. Eighteen articles were analyzed. Attributes of anticipatory burden in adult-child caregivers were found to be: (1) subjective burden, (2) anticipation, (3) overestimation, (4) inability, and (5) family relationship. Antecedents were identified as: (1) potential care recipients, (2) caregiving willingness, and (3) a lack of resources. Consequences included: (1) prediction of caregiving willingness, (2) impacts on caregivers’ health, (3) intervention promotion, and (4) behavioral changes. As the adult-child caregiver is one of the main types of family caregivers for the fast-growing aging population, it is important to understand the attributes, antecedents, and consequences of their anticipatory burden. Based on the results of this study, resources such as intervention, policy, and counseling services are recommended to help adult-child caregivers lower their anticipatory burden and get better prepared for providing family care.

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.

Impact of race on care, readmissions, and survival for patients with glioblastoma: an analysis of the National Cancer Database

Background

The objective of this study was to explore racial/ethnic factors that may be associated with survival in patients with glioblastoma by querying the National Cancer Database (NCDB).

Methods

The NCDB was queried for patients diagnosed with glioblastoma between 2004 and 2014. Patient demographic variables included age at diagnosis, sex, race, ethnicity, Charlson-Deyo score, insurance status, and rural/urban/metropolitan location of zip code. Treatment variables included surgical treatment, extent of resection, chemotherapy, radiation therapy, type of radiation, and treatment facility type. Outcomes included 30-day readmission, 30- and 90-day mortality, and overall survival. Multivariable Cox regression analyses were performed to evaluate variables associated with race and overall survival.

Results

A total of 103 652 glioblastoma patients were identified. There was a difference in the proportion of patients for whom surgery was performed, as well as the proportion receiving radiation, when stratified by race (P < .001). Black non-Hispanics had the highest rates of unplanned readmission (7.6%) within 30 days (odds ratio [OR]: 1.39 compared to White non-Hispanics, P < .001). Asian non-Hispanics had the lowest 30- (3.2%) and 90-day mortality (9.8%) when compared to other races (OR: 0.52 compared to White non-Hispanics, P = .031). Compared to White non-Hispanics, we found Black non-Hispanics (hazard ratio [HR]: 0.88, P < .001), Asian non-Hispanics (HR: 0.72, P < .001), and Hispanics (HR: 0.69, P < .001) had longer overall survival.

Conclusions

Differences in treatment and outcomes exist between races. Further studies are needed to elucidate the etiology of these race-related disparities and to improve outcomes for all patients.