Kidney Cancer in Rural Illinois: Lower Incidence Yet Higher Mortality Rates

Differences in cancer presentation, treatment, and mortality between rural and urban patients diagnosed with kidney cancer in the United States

INTRODUCTION

Rural-urban discrepancies in care and outcomes for kidney cancer (KCa) in the United States remains poorly understood. Our study aims to improve our understanding of the influence of rurality on KCa outcomes in the United States by analyzing differences in presentation, treatment, and mortality between urban areas (UAs) and rural areas (RAs) in the Surveillance, Epidemiology, and End Results (SEERs) database.

METHODS

SEERs data was queried from 2000 to 2019 for KCa patients. Patient counties were classified as UAs, rural adjacent areas (RAAs), or rural nonadjacent areas (RNAs) using Rural Urban Continuum Codes. Demographic, tumor characteristics, and treatment variables were compared. Propensity score matching was performed to create matched UA-RAA and UA-RNA cohorts. Multivariate regression evaluated rural-urban status as a predictor of treatment selection. Multivariate cox regression assessed the predictive value of rural-urban status for overall survival (OS) and cancer-specific survival (CSS). Kaplan-Meier analysis was used to generate survival curves for OS and CSS.

RESULTS

179,509 KCa patients were identified (UA = 87.0%, RAA = 7.7%, RNA = 5.3%). Patients in RAs were more likely to present with tumors of higher grade and stage than UAs. Following multivariate analysis, rural residency predicted undergoing nephrectomy (RAA: OR = 1.177, RNA: OR = 1.210) but was a negative predictor of receiving partial nephrectomy (RAA: OR = 0.744, RNA: OR = 0.717), all P < 0.001. Multivariate cox regression demonstrated that RAA or RNA residency was predictive of overall and cause-specific mortality. After matching, median OS was 151, 124, and 118 months for UA, RAA, and RNA cohorts respectively; mean CSS was 152, 147, and 144 months for UA, RAA, and RNA cohorts, respectively, all P < 0.001. Stage-specific analysis of CSS demonstrated significantly poorer CSS among RNA patients for localized, regionalized, and distant KCa after matching. Only RAA patients with localized KCa experienced significantly lower CSS than UA patients.

CONCLUSIONS

Patients in RAs are more likely to present with advanced KCa at diagnosis compared to those in UAs and may also experience different treatment options including a lesser likelihood of undergoing partial nephrectomy. Rural patients with KCa also demonstrated significantly worse OS and CSS compared to their urban counterparts. Further patient-level studies are required to better understand the discrepancy in CSS between urban and rural patients diagnosed with KCa.

Telemedicine in urologic oncology care: Will telemedicine exacerbate disparities?

INTRODUCTION

Disparities in prostate, bladder, and kidney cancer outcomes are associated with access to care. Telemedicine can improve access but may be underutilized by certain patient populations. Our objective was to determine if the patient populations who suffer worse oncologic outcomes are the same as those who are less likely to use telemedicine.

METHODS

Using an institutional database, we identified all prostate, bladder and kidney cancer encounters from March 14, 2020 to October 31, 2021 (n = 15,623; n = 4, 14; n = 3,830). Telemedicine was used in 13%, 8%, and 12% of these encounters, respectively. We performed random effects modeling analysis to examine patient and provider characteristics associated with telemedicine use. Adjusted odds ratios (OR) and 95% confidence intervals (CI) were reported as measures of association.

RESULTS

Among prostate, bladder, and kidney cancer patients, Black patients had lower odds of a telemedicine encounter (OR 0.51, 95% CI 0.37-0.69; OR 0.22, 95% CI 0.07-0.70; OR 0.46, 95% CI 0.24-0.86), and patients residing in small and isolated small rural towns areas had higher odds of a telemedicine encounter (OR 1.44, 95% CI 1.09-1.91; OR 2.12, 95% CI 1.14-3.94; OR 1.89, 95% CI 1.12-3.19). Compared to providers in practice ≤5 years, providers in practice for 6 to 15 years had significantly higher odds of a telemedicine encounter for prostate and bladder cancer patients (OR 4.10, 95% CI 1.4511.58; OR 3.42, 95% CI 1.09-10.77).

CONCLUSION

The lower rates of telemedicine use among Black patients could exacerbate pre-existing disparities in prostate, bladder, and kidney cancer outcomes.

Rural Hospital Disparities in Goals of Care Documentation

CONTEXT

Goals of care conversations for seriously ill hospitalized patients are associated with high-quality patient-centered care.

OBJECTIVES

We aimed to assess the prevalence of documented goals of care conversations for rural hospitalized patients compared to nonrural hospitalized patients.

METHODS

We retrospectively assessed goals of care documentation using a template note for adult patients with predicted 90-day mortality greater than 30% admitted to eight rural and nine nonrural community hospitals between July 2021 and April 2023. We compared predictors and prevalence of goals of care documentation among rural and nonrural hospitals.

RESULTS

Of the 31,098 patients admitted during the study period, 21% were admitted to a rural hospital. Rural patients were more likely than nonrural patients to be >65 years old (89% vs. 86%, P = <.0001), more likely to live in a neighborhood classified in the highest quintile of socioeconomic disadvantage (40% vs. 16%, P = <.0001), and less likely to receive a palliative care consult (8% vs. 18%, P = <.0001). Goals of care documentation occurred less often for patients admitted to rural vs. nonrural community hospitals (2% vs. 7%, P < .0001). In the base multivariable logistic regression model adjusting for patient characteristics, the odds of goals care documentation were lower in rural vs. nonrural community hospitals (aOR 0.4, P = .0232). In a second multivariable logistic regression model including both patient characteristics and severity of illness, the odds of goals of care documentation in rural community hospitals were no longer statistically different than nonrural community hospitals (aOR 0.5, P = .1080). Patients who received a palliative care consult had a lower prevalence of goals of care documentation in rural vs. nonrural hospitals (16% vs. 37%, P = <.0001).

CONCLUSION

In this study of 17 rural and nonrural community hospitals, we found low overall prevalence of goals of care documentation with particularly infrequent documentation occurring within rural hospitals. Future study is needed to assess barriers to goals of care documentation contributing to low prevalence of goals of care conversations in rural hospital settings.

Workforce Issues in Urology

The future supply of urologists is not on pace to account for future demands of urologic care. This impending urologic shortage sits on a backdrop of multiple other workforce issues. In this review, we take an in-depth look at several pressing issues facing the urologic workforce, including the impending urology shortage, gender and diversity concerns, growing levels of burnout, and the effects of the coronavirus pandemic. In doing so, we highlight specific areas of clinical practice that may need to be addressed from a health care policy standpoint.

Association between urbanicity and surgical treatment among patients with primary glioblastoma in the United States

Background

Glioblastoma (GB) is the most common and most lethal primary malignant brain tumor. Extent of surgical resection is one of the most important prognostic factors associated with improved survival. Historically, patients living in nonmetropolitan counties in the United States have limited access to optimal treatment and health care services. The aim of this study is to determine whether there is an association between urbanicity and surgical treatment patterns among US patients with primary GB.

Methods

Cases with histologically confirmed, primary GB diagnosed between 2005 and 2015 were obtained from the Central Brain Tumor Registry of the United States (CBTRUS) in collaboration with the Centers for Disease Control and Prevention, and the National Cancer Institute. Multivariable logistic regression models were constructed to assess the association between urbanicity and receipt of surgical treatment (gross total resection [GTR]/subtotal resection [STR] vs biopsy only/none) and extent of resection (GTR vs STR), adjusted for age at diagnosis, sex, race, US regional division, and primary tumor site.

Results

Patients residing in nonmetropolitan counties were 7% less likely to receive surgical treatment (odds ratio [OR] = 0.93, 95% CI: 0.89-0.96, P < .0001). Among those who received surgical treatment, metropolitan status was not significantly associated with receiving GTR vs STR (OR = 0.99, 95% CI: 0.94-1.04, P = .620).

Conclusions

Among US patients with GB, urbanicity is associated with receipt of surgical treatment, but among patients who receive surgery, urbanicity is not associated with extent of resection. These results point to potential differences in access to health care for those in nonmetropolitan areas that warrant further exploration.

Challenges of using nationally representative, population-based surveys to assess rural cancer disparities

Population-based surveys provide important information about cancer-related health behaviors across the cancer care continuum, from prevention to survivorship, to inform cancer control efforts. These surveys can illuminate cancer disparities among specific populations, including rural communities. However, due to small rural sample sizes, varying sampling methods, and/or other study design or analytical concerns, there are challenges in using population-based surveys for rural cancer control research and practice. Our objective is three-fold. First, we examined the characterization of "rural" in four, population-based surveys commonly referenced in the literature: 1) Health Information National Trends Survey (HINTS); 2) National Health Interview Survey (NHIS); 3) Behavioral Risk Factor Surveillance System (BRFSS); and 4) Medical Expenditures Panel Survey (MEPS). Second, we identified and described the challenges of using these surveys in rural cancer studies. Third, we proposed solutions to address these challenges. We found that these surveys varied in use of rural-urban classifications, sampling methodology, and available cancer-related variables. Further, we found that accessibility of these data to non-federal researchers has changed over time. Survey data have become restricted based on small numbers (i.e., BRFSS) and have made rural-urban measures only available for analysis at Research Data Centers (i.e., NHIS and MEPS). Additionally, studies that used these surveys reported varying proportions of rural participants with noted limitations in sufficient representation of rural minorities and/or cancer survivors. In order to mitigate these challenges, we propose two solutions: 1) make rural-urban measures more accessible to non-federal researchers and 2) implement sampling approaches to oversample rural populations.

Kidney cancer survivorship care: Patient experiences in a Canadian setting

INTRODUCTION

The incidence of kidney cancer (KCa) in Canada is rising. Despite this, there is a shortage of research assessing KCa care experiences. This study aims to explore the current experiences of KCa survivors related to treatment and management, information provision, and barriers to care.

METHODS

A cross-sectional, descriptive study of KCa patients was conducted online and through various cancer centers across Canada. English- and French-speaking adults who received a KCa diagnosis and were currently undergoing treatment or had completed treatment in Canada were eligible to participate.

RESULTS

In total, 368 surveys were completed. Ten percent of respondents had not yet received treatment, 29% were receiving treatment, and 56% had completed treatment. Most respondents (72%) had localized KCa (stage 0-3) at diagnosis. Sixty-one percent of respondents reported that their doctors discussed various treatment options with them and 24% reported discussing applicable clinical trials. Most (85%) respondents received information about their KCa and 36% discussed where to get information about their disease and support. The most commonly reported barriers to care were side effects (26%), system delays (26%), not having access to certain treatments (25%), and financial burden (24%). More participants in Central Region and Quebec (p=0.004) and rural/suburban (p=0.014) areas reported lacking access to certain treatments and KCa experts.

CONCLUSIONS

This was the first large-scale study to explore access to care experiences of Canadian KCa survivors. Results show examples of good patient-centered care and provide new practical information that can inform efforts to improve patient-centered care for KCa patients.

Rural and urban patients with diffuse large B-cell and follicular lymphoma experience reduced overall survival: a National Cancer DataBase study

We examined 83,108 patients with diffuse large B-cell lymphoma (DLBCL) and 43,393 patients with follicular lymphoma (FL) to investigate disparities related to geographic population density, stratified as rural, urban, or metropolitan. We found that urban and rural patients less commonly had private insurance and high socioeconomic status. Urban and rural DLBCL patients were more likely to receive treatment within 14 days of diagnosis (OR 0.93, 95% confidence interval [CI] 0.89-0.98; and OR 0.81, 95% CI 0.72-0.91) while urban FL patients were more likely to have treatment >14 days after diagnosis (OR 1.08, 95% CI 1.01-1.16). Multivariable analyses demonstrated that rural and urban patients had worse overall survival with DLBCL (hazard ratio [HR] 1.09; 95% CI 1-1.19 and HR 1.08; 95% CI 1.04-1.11) and FL (HR 1.11; 95% CI 1.04-1.18 and HR 1.2; 95% CI 1.02-1.41), respectively, suggesting needs for focused study and interventions for these populations.

Obesity, abdominal obesity and subsequent risk of kidney cancer: a cohort study of 23.3 million East Asians

Background

Limited evidence exists regarding associations between obesity and kidney cancer among Asians. We examined the associations between obesity measures and risk of kidney cancer.

Methods

We included 23,313,046 adults who underwent health examinations provided by the Korean National Health Insurance Service 2009–2012 and performed multivariable Cox proportional hazards regression analyses.

Results

During 5.4 years of follow-up, 18,036 cases of kidney cancer were recorded, and cumulative incidence was 0.12%. General and abdominal obesity were associated with 1.32-fold increased risk of kidney cancer compared with groups without either obesity status. Underweight individuals showed decreased adjusted hazard ratio (HR) for kidney cancer (0.76, 95% confidence interval: 0.68–0.85) compared to those with normal body mass index (BMI), while the HRs increased among individuals with BMI 23–24.9 kg/m² (1.23, 1.18–1.28), 25–29.9 kg/m² (1.41, 1.36–1.46) and ≥30 kg/m² (1.77, 1.65–1.90) (P for trend < 0.001). HRs of kidney cancer increased with increasing waist circumference (WC) (P for trend < 0.001). Compared to non-obese condition, the coexistence of general and abdominal obesity increased the HR (1.45, 1.40–1.50).

Conclusions

This study demonstrated positive associations of BMI and WC with kidney cancer risk. General and abdominal obesity may be risk factors of kidney cancer.

Impact of Rurality on National Trends in Thyroid Cancer Incidence and Long-Term Survival

PURPOSE

Thyroid cancer incidence is rising, possibly secondary to increased imaging and surveillance. Based on rural access to care disparities, we hypothesized that incidence would be greater in urban compared to rural counties with no significant difference in long-term survival.

METHODS

An observational study was performed on thyroid cancer patients using Surveillance Epidemiology and End Results data (2000-2012). Age-adjusted incidence rates, incidence rate ratios, and survival rates were calculated across rural-urban designations.

FINDINGS

Incidence rates were 11.2, 9.8, and 10.1 per 100,000 for urban, rural-adjacent, and rural-nonadjacent counties, respectively. Statistically significantly lower incidence was noted in rural-adjacent and rural-nonadjacent compared to urban areas. Five-year and 10-year survival was significantly lower in rural-nonadjacent counties compared to urban counties.

CONCLUSIONS

Higher incidence and increased long-term survival for thyroid cancer were noted in urban areas compared to rural areas. It is uncertain if rural-urban differences in long-term survival reflect health care disparities, differences in therapy, or other origins.

Availability of Common Pediatric Radiology Studies: Are Rural Patients at a Disadvantage?

BACKGROUND

Many families wish to have radiologic tests performed locally, especially when obtaining these tests in specialized pediatric centers would require long-distance travel with associated costs and inconveniences. The differential availability of specialized and common pediatric uroradiographic tests in rural and urban areas has not been described. We undertook this study to describe the availability of common radiographic tests ordered by pediatric urologists, and to identify disparities in the availability of radiographic tests between urban and rural locations.

MATERIALS AND METHODS

We surveyed all freestanding hospitals in Washington State on the availability of flat-plate abdominal radiograph (AXR), renal-bladder ultrasounds (RBUS), voiding cystourethrograms (VCUG), MAG-3 renal scans, and nuclear cystograms (NC) for children, as well as testing restrictions, availability of sedation for urology tests, and presence of onsite radiologists. Rural and urban hospitals were compared on these characteristics.

RESULTS

The survey was completed by 74 of 88 institutions (84.1%); 17 (23.0%) were rural (population <2500), 32 (43.2%) were in urban clusters (population 2500-50,000), and 25 (33.8%) were in urban areas (population >50,000). Seventy-three (98.6%) institutions offered AXR, 68 (91.9%) offered RBUS, 44 (59.5%) offered VCUG, 26 (35.1%) offered MAG-3, and 15 (20.3%) offered NC to children. All urban and most (16/17; 94.1%) rural institutions had shareable digital imaging capability. AXR (100% versus 96%, P = 0.88) and RBUS (70.6% versus 96%, P = 0.15) availability was similar in rural and urban settings, whereas VCUG (11.8% versus 72%, P = 0.001), MAG-3 (5.9% versus 60%, P = 0.006), and NC (0% versus 44%, P = 0.017) were more commonly available in urban settings. Fewer rural hospitals employed full-time, in-house radiologists (35.3% versus 96%, P < 0.0001) or offered sedation (6.3% versus 36%, P = 0.01) for testing, but an equal proportion had age restrictions on the tests offered (40% versus 17.6%, P = 0.50). Fellowship-trained pediatric radiologists (0% versus 16%, P = 0.39) and child life specialists (0% versus 20%, P = 0.28) worked exclusively in urban settings. Most hospitals offering specialized radiographic tests (VCUG: 90.9%; P < 0.0001 and MAG-3: 92.3%; P = 0.002) had onsite radiologists.

CONCLUSIONS

The geographically widespread availability of AXR and RBUS may represent an opportunity to offer families care closer to home, realizing cost and time savings. Anxious children and those requiring more specialized studies may benefit from referral to urban centers. The lack of rural radiologists may be an actionable barrier to availability of specialized radiology testing.

Effects of primary care physician density, urologist presence, and insurance status on stage of diagnosis for urologic malignancies

OBJECTIVE

To evaluate effects of PCP density, insurance status, and urologist presence on stage of diagnosis for urologic malignancies. Cancer stage at diagnosis is an important outcome predictor. Studies have shown an inverse relationship to primary care physician (PCP) density and insurance coverage with stage of cancer diagnosis.

METHODS

Data was obtained from OK2Share, an Oklahoma Central Cancer Registry, for bladder, kidney, and prostate cancer from 2000 to 2010. Physician data was obtained through the State Licensing Board. The 2010 national census was used for population data. High PCP density was defined as greater than or equal to the median value: 3.17 PCP/10,000 persons. Chi-square and multivariate logistic regressions were used to analyze effects of PCP density, insurance status, and urologist presence on advanced stage diagnosis.

RESULTS

27,086 patients were identified across 77 counties. As PCP density increased by 1 PCP/10,000 persons, the odds ratios (OR) of an advanced stage at diagnosis were 0.383, 0.468, 0.543 for bladder, kidney, and prostate cancer respectively. Compared to private insurance, being uninsured had OR of 1.61 and 2.45 respectively for kidney and prostate cancers. The OR of an advanced stage diagnosis for bladder and prostate cancer were 3.77 and 1.73, respectively, in counties with a urologist.

CONCLUSIONS

Increased PCP density and insurance coverage reduced the odds of an advanced diagnosis. Implementation of policies to improve access to healthcare including through increasing PCP density and reducing the number of uninsured patients should result in diagnosis at an earlier stage, which will likely improved cancer-related outcomes.

Rural-Urban Differences in Cancer Incidence and Trends in the United States

Background: Cancer incidence and mortality rates in the United States are declining, but this decrease may not be observed in rural areas where residents are more likely to live in poverty, smoke, and forego cancer screening. However, there is limited research exploring national rural-urban differences in cancer incidence and trends.Methods: We analyzed data from the North American Association of Central Cancer Registries' public use dataset, which includes population-based cancer incidence data from 46 states. We calculated age-adjusted incidence rates, rate ratios, and annual percentage change (APC) for: all cancers combined, selected individual cancers, and cancers associated with tobacco use and human papillomavirus (HPV). Rural-urban comparisons were made by demographic, geographic, and socioeconomic characteristics for 2009 to 2013. Trends were analyzed for 1995 to 2013.Results: Combined cancers incidence rates were generally higher in urban populations, except for the South, although the urban decline in incidence rate was greater than in rural populations (10.2% vs. 4.8%, respectively). Rural cancer disparities included higher rates of tobacco-associated, HPV-associated, lung and bronchus, cervical, and colorectal cancers across most population groups. Furthermore, HPV-associated cancer incidence rates increased in rural areas (APC = 0.724, P < 0.05), while temporal trends remained stable in urban areas.Conclusions: Cancer rates associated with modifiable risks-tobacco, HPV, and some preventive screening modalities (e.g., colorectal and cervical cancers)-were higher in rural compared with urban populations.Impact: Population-based, clinical, and/or policy strategies and interventions that address these modifiable risk factors could help reduce cancer disparities experienced in rural populations. Cancer Epidemiol Biomarkers Prev; 27(11); 1265-74. ©2017 AACR.