Strength of Evidence Underlying the CMS-FDA Parallel Review of Comprehensive Genomic Profiling Tests in the Cancer Setting.

BACKGROUND: Although use of comprehensive genomic profiling (CGP) was approved by a novel CMS/FDA parallel review process, the quality of the supporting evidence is unclear. We evaluated the rigor of the peer-reviewed literature cited in the National Coverage Determination Memorandum for the FoundationOne CDx (F1CDx). METHODS: We identified studies cited in the memorandum. Two independent researchers evaluated each study and applied a modified version of the Fryback and Thornbury hierarchy[1], an established framework for evaluating the efficacy of diagnostic tests. Studies focused on clinical outcomes were then categorized by study design, guided by recommendations from the Center for Medical Technology Policy. RESULTS: The sample included 113 scientific studies. The majority (n = 60, 53.1%) used CGP outside the course of clinical care, and there was significant heterogeneity in the cancer types assessed and sequencing depth. We found 8 (7.1%) studies that assessed whether clinical care had changed due to CGP testing, and 38 (33.6%) assessed clinical outcomes. After excluding studies that tested for five or fewer genomic alterations, 25 remained in the clinical outcomes sample: Of these, only one included a comparator group that did not receive CGP testing. Only four studies used F1CDx as the primary genomic test, none of which compared the outcomes of patients who did vs did not receive the F1CDx test. CONCLUSIONS: The findings indicate gaps in the supporting evidence for broad CGP use in patients with solid tumors. More rigorous studies that assess clinical utility would better inform the approval process for novel diagnostic tests.

Tubal Sterilization Rates by State Abortion Laws After the Dobbs Decision.

This study examines whether the use of sterilization procedures changed after the Dobbs ruling by restrictiveness of state abortion laws.

Costs of care during chimeric antigen receptor T-cell therapy in relapsed or refractory B-cell lymphomas.

High upfront cost may be a barrier to adopting chimeric antigen receptor T-cell (CAR-T) therapy for relapsed or refractory B-cell lymphoma. Data on the real-world costs are limited. Using the Blue Cross Blue Shield Axis database, we evaluated 271 commercially insured patients who received CAR-T therapy for B-cell lymphoma (median age = 58 years; men = 68%; diffuse large B-cell lymphoma = 87%; inpatient CAR-T therapy = 85%). Our peri-CAR-T period of interest was from 41 days before to 154 days after CAR-T therapy index divided into seven 28-day intervals. Median total costs were $608 100 (interquartile range, IQR = $534 100-$732 800); 8.5% of patients had total costs exceeding $1 million. The median cost of CAR-T therapy products was $402 500, and the median out-of-pocket copayment was $510. Monthly costs were highest during the month of CAR-T therapy administration (median = $521 500), with median costs below $25 000 in all other 28-day intervals. Costs of CAR-T therapy use were substantial, largely driven by product acquisition. Future studies should examine the relationship between costs, access, and financial outcomes.

Trends in use of intensive care during hospitalizations at the end-of-life among older adults with advanced cancer.

BACKGROUND: High-intensity end-of-life (EOL) care, marked by admission to intensive care units (ICUs) or in-hospital death, can be costly and burdensome. Recent trends in use of ICUs, life-sustaining treatments (LSTs), and noninvasive ventilation (NIV) during EOL hospitalizations among older adults with advanced cancer and patterns of in-hospital death are unknown. METHODS: We used SEER-Medicare data (2003-2017) to identify beneficiaries with advanced solid cancer (summary stage 7) who died within 3 years of diagnosis. We identified EOL hospitalizations (within 30 days of death), classifying them by increasing intensity of care into: (1) without ICU; (2) with ICU but without LST (invasive mechanical ventilation, tracheostomy, gastrostomy, acute dialysis) or NIV; (3) with ICU and NIV but without LST; and (4) with ICU and LST use. We constructed a multinomial regression model to evaluate trends in risk-adjusted hospitalization, overall and across hospitalization categories, adjusting for sociodemographics, cancer characteristics, comorbidities, and frailty. We evaluated trends in in-hospital death across categories. RESULTS: Of 226,263 Medicare beneficiaries with advanced cancer, 138,305 (61.1%) were hospitalized at EOL [Age, Mean (SD):77.9(7.1) years; 45.5% female]. Overall, EOL hospitalizations remained high throughout, from 78.1% (95% CI: 77.4, 78.7) in 2004 to 75.5% (95% CI: 74.5, 76.2) in 2017. Hospitalizations without ICU use decreased from 49.3% (95% CI: 48.5, 50.2) to 35.0% (95% CI: 34.2, 35.9) while hospitalizations with more intensive care increased, from 23.7% (95% CI: 23.0, 24.4) to 28.7% (95% CI: 27.9, 29.5) for ICU without LST or NIV, 0.8% (95% CI: 0.6, 0.9) to 3.8% (95% CI: 3.4, 4.1) for ICU with NIV but without LST, and 4.3% (95% CI: 4.0, 4.7) to 8.0% (95% CI: 7.5, 8.5) for ICU with LST use. Among those who experienced in-hospital death, the proportion receiving ICU care increased from 46.5% to 65.0%. CONCLUSIONS: Among older adults with advanced cancer, EOL hospitalization rates remained stable from 2004-2017. However, intensity of care during EOL hospitalizations increased as evidenced by increasing use of ICUs, LSTs, and NIV.

Associations Between Prostate Magnetic Resonance Imaging, Genomic Testing, and Treatment for Localized Prostate Cancer.

INTRODUCTION: Although prostate MRI and tissue-based gene expression (genomic) tests improve staging and estimates of prostate cancer prognosis, their association with the intensity of treatment patients receive is not well understood. METHODS: We performed a retrospective cohort study of Medicare beneficiaries diagnosed with clinically localized prostate cancer in 2013 through 2017 in the Surveillance, Epidemiology, and End Results database. The primary study outcome was the receipt of treatment intensification in the first 12 months after diagnosis (defined as the addition of androgen deprivation therapy among patients receiving radiation or pelvic lymphadenectomy among those undergoing radical prostatectomy). We assessed associations between the receipt of prostate MRI and genomic testing and treatment intensification, adjusting for clinical and sociodemographic factors and further stratifying the analyses by risk status. RESULTS: We identified 37,064 patients with clinically localized prostate cancer, including 6,398, 22,011, and 5976 with low, intermediate, and high D'Amico-risk disease, respectively. Among all treated patients, receipt of prostate MRI was associated with increased odds of treatment intensification (odds ratio 1.76, 95% CI 1.65-1.88, P < .001). In contrast, genomic testing was not significantly associated. Among treated patients with high-risk disease, genomic testing was associated with decreased odds of intensified treatment (odds ratio 0.59, 95% CI 0.35-1.00, P = .05). CONCLUSIONS: Prostate MRI was associated with intensified treatment across risk strata, while genomic testing was associated with lower intensity of treatment among high-risk disease. Additional study is needed to determine whether use of imaging and risk stratification tools leads to improved long-term patient outcomes.

Cost trends of metastatic renal cell carcinoma therapy: the impact of oral anticancer agents and immunotherapy.

BACKGROUND: Immunotherapy (IO) and oral anticancer agents (OAA) have improved outcomes for metastatic renal cell carcinoma (mRCC), but there is a need to understand real-world costs from the perspective of payers and patients. METHODS: We used retrospective fee-for-service Medicare 100% claims data to study patients diagnosed with mRCC in 2015-2019. We identified initial treatment type and costs (the year after diagnosis) and analyzed differences in monthly and 12-month costs over time and between OAA, IO, and combination groups and the association between Out-Of-Pocket (OOP) costs and adherence. RESULTS: We identified 15 407 patients with mRCC (61% male; 85% non-Hispanic White). A total of 6196 received OAA, IO, or combination OAA/IO as initial treatment. OAA use decreased (from 31% to 11%) with a simultaneous rise in patients receiving IO (3% to 26%) or combination IO/OAA therapy (1% to 11%). Medicare payments for all patients with mRCC increased by 41%, from $60 320 (95% confidence interval = 58 260 to 62 380) in 2015 to $85 130 (95% confidence interval = 82 630 to 87 630) in 2019. Payments increased in patients who received OAA, IO, or combination OAA/IO but were stable in those with other/no treatment. Initial higher OOP responsibility ($200-$1000) was associated with 13% decrease in percent days covered in patients receiving OAA in the first 90 days of treatment, compared with those whose OOP responsibility was less than $200. CONCLUSION: From 2015 to 2019, costs for Medicare patients with mRCC rose substantially due to more patients receiving IO or IO/OAA combined therapy and increases in costs among those receiving those therapies. Increased OOP costs was associated with decreased adherence.

Making Drug Approval Decisions in the Face of Uncertainty: Cumulative Evidence versus Value of Information.

BACKGROUND: The COVID-19 pandemic underscored the criticality and complexity of decision making for novel treatment approval and further research. Our study aims to assess potential decision-making methodologies, an evaluation vital for refining future public health crisis responses. METHODS: We compared 4 decision-making approaches to drug approval and research: the Food and Drug Administration's policy decisions, cumulative meta-analysis, a prospective value-of-information (VOI) approach (using information available at the time of decision), and a reference standard (retrospective VOI analysis using information available in hindsight). Possible decisions were to reject, accept, provide emergency use authorization, or allow access to new therapies only in research settings. We used monoclonal antibodies provided to hospitalized COVID-19 patients as a case study, examining the evidence from September 2020 to December 2021 and focusing on each method's capacity to optimize health outcomes and resource allocation. RESULTS: Our findings indicate a notable discrepancy between policy decisions and the reference standard retrospective VOI approach with expected losses up to $269 billion USD, suggesting suboptimal resource use during the wait for emergency use authorization. Relying solely on cumulative meta-analysis for decision making results in the largest expected loss, while the policy approach showed a loss up to $16 billion and the prospective VOI approach presented the least loss (up to $2 billion). CONCLUSION: Our research suggests that incorporating VOI analysis may be particularly useful for research prioritization and treatment implementation decisions during pandemics. While the prospective VOI approach was favored in this case study, further studies should validate the ideal decision-making method across various contexts. This study's findings not only enhance our understanding of decision-making strategies during a health crisis but also provide a potential framework for future pandemic responses. HIGHLIGHTS: This study reviews discrepancies between a reference standard (retrospective VOI, using hindsight information) and 3 conceivable real-time approaches to research-treatment decisions during a pandemic, suggesting suboptimal use of resources.Of all prospective decision-making approaches considered, VOI closely mirrored the reference standard, yielding the least expected value loss across our study timeline.This study illustrates the possible benefit of VOI results and the need for evidence accumulation accompanied by modeling in health technology assessment for emerging therapies.

Changes in Facility Share of Medicaid-insured Patients With Urologic Cancers Following Implementation of the Patient Protection and Affordable Care Act.

OBJECTIVE: To examine Medicaid-insurance acceptance at facilities treating urologic cancers following implementation of the Affordable Care Act (ACA). METHODS: We conducted a retrospective, longitudinal study with a pre-post design. We accessed 2010-2017 data from the National Cancer Database, calculating the facility-level change in proportion of urologic cancer patients with Medicaid following implementation of the ACA. We used multivariable logistic regression to assess baseline clinical and demographic factors associated with changes in the proportion of patients at a facility insured through Medicaid. RESULTS: We identified 630 facilities, including 287 in Medicaid expansion states and 343 in non-expansion states associated with 436,082 urologic cancer patients. The mean facility-level change in proportion of patients with Medicaid was + 5.8% (95% CI 5.0%-6.5%) in expansion states versus + 0.6% (95% CI 0.2%-0.9%) in non-expansion states. There were 179 facilities that experienced a decrease in the post-ACA period, representing 13.6% of facilities in expansion states and 40.8% in non-expansion states (P <.001). Factors associated with a decrease in proportion of urologic cancer patients insured by Medicaid included non-expansion state status (OR 8.9, 95% CI 5.3-15.6, P <.001), higher baseline proportion of patients with Medicaid (highest quartile vs lowest: OR 4.6, 95% CI 2.3-9.4, P <.001) and high-income zip code (highest vs lowest quartile: OR 3.1, 95% CI 1.5-6.6, P <.001). CONCLUSION: Urologic cancer care for Medicaid-insured Americans remains unevenly distributed across cancer care centers, even in states that expanded coverage. Our findings suggest that this variation may reflect the effort of some facilities to reduce their financial exposure to increased numbers of Medicaid patients in the wake of ACA-supported state expansions.

'It Just Makes Sense to Me': A qualitative study exploring patient decision-making and experiences with prostate MRI during active surveillance for prostate cancer.

Introduction: Although prostate magnetic resonance imaging (MRI) is commonly used in the diagnosis, staging and active surveillance of prostate cancer, little is known about patient perspectives on MRI. Methods: We performed a qualitative study consisting of in-depth, semi-structured interviews of patients with low- and intermediate-risk prostate cancer managed with active surveillance. Interviews focused on experiences with and knowledge of prostate MRI and MRI-ultrasound fusion biopsy during active surveillance. We purposively sampled patients who received prostate MRI as part of their clinical care, conducted interviews until reaching thematic saturation and performed conventional content analysis to analyse data. Results: Twenty patients aged 51-79 years (mean = 68 years) participated in the study. At diagnosis, 17 (85%) had a Gleason grade group 1, and three (15%) had a grade group 2 tumour. Overall, participants viewed prostate MRI as a valuable tool that accurately localizes and monitors prostate cancer over time, and they considered prostate MRI central to active surveillance monitoring. We identified five thematic categories related to MRI use: (1) the experiential aspects of undergoing an MRI scan; (2) the experience of visualizing one's own prostate and prostate cancer; (3) adequacy of provider explanations of MRI results; (4) confidence in prostate MRI in decision-making; and (5) the role of prostate MRI in longitudinal follow-up, including an interest in using MRI to modify the timing of, or replace, prostate biopsy. Conclusion: Patients value prostate MRI as a tool that enhances their confidence in the initial diagnosis and monitoring of prostate cancer. This work can inform future studies to optimize patient experience, education and counselling during active surveillance for prostate cancer.

Characterization of time toxicity in older patients with metastatic breast cancer.

PURPOSE: Recognizing that receiving healthcare can be time intensive and burdensome, time toxicity has been conceptualized as the time spent by patients seeking healthcare. This study investigates the association between age at diagnosis and time toxicity for patients with Metastatic Breast Cancer (MBC) and identifies major components of care that confer the greatest time toxicity. METHODS: We conducted a retrospective cohort study among patients with MBC aged 67 or older using the SEER-Medicare database. We assessed time toxicity using the number of encounter days patients interacted with the healthcare system per 100 days, within the first year of starting cancer treatment. We used a Poisson model to analyze the association between age and encounter days, adjusting for clinical and sociodemographic factors. We stratified the mean encounter days for each age cohort by treatment types. FINDINGS: The final sample included 2949 patients; 51.4% were between 70 and 79 years old, and 81.3% were white. Although unadjusted analysis showed an association between older age and more encounter days (Rate Ratio (RR) 1.12; 95% CI 1.02, 1.22), there was no significant association after adjusting for comorbidities and treatment type. Patients with more than three comorbidities had significantly higher encounter days compared to those without comorbidities [RR 1.36 (95% CI 1.26, 1.46)]. Receipt of radiotherapy [RR: 1.45 95% CI (1.37, 1.54)] was associated with more encounter days compared to not receiving radiotherapy, while receipt of bone-modifying agents was associated with fewer encounter days compared to not using Bone modifying agents [RR 0.75 (95% CI 0.70, 0.79)]. CONCLUSION: Our study identified comorbidities and cancer treatment modality, including radiotherapy, as the factors affecting time toxicity in older patients with MBC. Assessment of an individual's comorbid medical conditions and types of treatment planned are crucial to understanding age-related impacts on encounter days and to support shared decision making in older patients.

Systemic Anticancer Therapy and Overall Survival in Patients With Very Advanced Solid Tumors.

Importance: Two prominent organizations, the American Society of Clinical Oncology and the National Quality Forum (NQF), have developed a cancer quality metric aimed at reducing systemic anticancer therapy administration at the end of life. This metric, NQF 0210 (patients receiving chemotherapy in the last 14 days of life), has been critiqued for focusing only on care for decedents and not including the broader population of patients who may benefit from treatment. Objective: To evaluate whether the overall population of patients with metastatic cancer receiving care at practices with higher rates of oncologic therapy for very advanced disease experience longer survival. Design, Setting, and Participants: This nationwide population-based cohort study used Flatiron Health, a deidentified electronic health record database of patients diagnosed with metastatic or advanced disease, to identify adult patients (aged ≥18 years) with 1 of 6 common cancers (breast cancer, colorectal cancer, non-small cell lung cancer [NSCLC], pancreatic cancer, renal cell carcinoma, and urothelial cancer) treated at health care practices from 2015 to 2019. Practices were stratified into quintiles based on retrospectively measured rates of NQF 0210, and overall survival was compared by disease type among all patients treated in each practice quintile from time of metastatic diagnosis using multivariable Cox proportional hazard models with a Bonferroni correction for multiple comparisons. Data were analyzed from July 2021 to July 2023. Exposure: Practice-level NQF 0210 quintiles. Main Outcome and Measure: Overall survival. Results: Of 78 446 patients (mean [SD] age, 67.3 [11.1] years; 52.2% female) across 144 practices, the most common cancer types were NSCLC (34 201 patients [43.6%]) and colorectal cancer (15 804 patients [20.1%]). Practice-level NQF 0210 rates varied from 10.9% (quintile 1) to 32.3% (quintile 5) for NSCLC and 6.8% (quintile 1) to 28.4% (quintile 5) for colorectal cancer. No statistically significant differences in survival were observed between patients treated at the highest and the lowest NQF 0210 quintiles. Compared with patients seen at practices in the lowest NQF 0210 quintiles, the hazard ratio for death among patients seen at the highest quintiles varied from 0.74 (95% CI, 0.55-0.99) for those with renal cell carcinoma to 1.41 (95% CI, 0.98-2.02) for those with urothelial cancer. These differences were not statistically significant after applying the Bonferroni-adjusted critical P = .008. Conclusions and Relevance: In this cohort study, patients with metastatic or advanced cancer treated at practices with higher NQF 0210 rates did not have improved survival. Future efforts should focus on helping oncologists identify when additional therapy is futile, developing goals of care communication skills, and aligning payment incentives with improved end-of-life care.

Differential Effect of Consolidative Thoracic Radiation Therapy in Extensive-Stage Small Cell Lung Cancer Based on Sex.

Purpose: The landmark randomized trial on chest irradiation in extensive disease small cell lung cancer (CREST) demonstrated that consolidative thoracic radiation therapy (cTRT) improved overall (OS) and progression-free survival (PFS) after initial chemotherapy (chemo) in extensive-stage small cell lung cancer, with potentially increased benefit in women compared with men. It is unknown whether similar findings would apply after chemoimmunotherapy became the standard first-line treatment. In this analysis, we report national practice patterns and survival outcomes of cTRT according to patient sex. Methods and Materials: We included patients from de-identified electronic health record-derived database diagnosed with stage IV small cell lung cancer (2014-2021) who completed 4 to 6 cycles of first-line systemic therapy (platinum-doublet chemotherapy or chemoimmunotherapy). We evaluated OS and PFS using multivariable Cox proportional hazards regression with receipt of cTRT as an independent variable and stratified by sex. As a sensitivity analysis, we weighted the models by the inverse probability of receiving cTRT. Results: A total of 1227 patients were included (850 chemotherapy, 377 chemoimmunotherapy). There were no statistically significant differences in baseline characteristics between patients who did and did not receive cTRT. Among women, cTRT was associated with superior OS (adjusted hazard ratio [HR], 0.67; 95% CI, 0.52-0.87) and PFS (HR, 0.63; 95% CI, 0.49-0.82) compared with those not receiving cTRT. Conversely, no OS or PFS benefit with cTRT was observed in men (OS HR, 1.03; 95% CI, 0.80-1.31; PFS HR, 1.12; 95% CI, 0.85-1.47). Findings were similar in weighted analyses. Conclusions: The survival efficacy of cTRT may be moderated by sex, with female patients appearing more likely to benefit than male patients. These findings reflect sex-based survival trends with similar effect sizes to those observed in the CREST trial. Although the underpinnings of this association need to be elucidated, stratification by sex should be considered for randomized-controlled trials studying cTRT in extensive-stage small cell lung cancer.

Functional decline in older breast cancer survivors treated with and without chemotherapy and non-cancer controls: results from the Hurria Older PatiEnts (HOPE) prospective study.

PURPOSE: This study aimed to assess whether physical functional decline in older women with early-stage breast cancer is driven by cancer, chemotherapy, or a combination of both. METHODS: We prospectively sampled three groups of women aged ≥ 65: 444 with early-stage breast cancer receiving chemotherapy (BC Chemo), 98 with early-stage breast cancer not receiving chemotherapy (BC Control), and 100 non-cancer controls (NC Control). Physical function was assessed at two timepoints (T1 [baseline] and T2 [3, 4, or 6 months]) using the Physical Functioning Subscale (PF-10) of the RAND 36-item Short Form. The primary endpoint was the change in PF-10 scores from T1 to T2, analyzed continuously and dichotomously (Yes/No, with "yes" indicating a PF-10 decline > 10 points, i.e., a substantial and clinically meaningful difference). RESULTS: Baseline PF-10 scores were similar across all groups. The BC Chemo group experienced a significant decline at T2, with a median change in PF-10 of -5 (interquartile range [IQR], -20, 0), while BC Control and NC Control groups showed a median change of 0 (IQR, -5, 5; p < 0.001). Over 30% of BC Chemo participants had a substantial decline in PF-10 vs. 8% in the BC Control and 5% in the NC Control groups (p < 0.001). CONCLUSION: In this cohort of older adults with early-stage breast cancer, the combination of breast cancer and chemotherapy contributes to accelerated functional decline. Our findings reinforce the need to develop interventions aimed at preserving physical function, particularly during and after chemotherapy. IMPLICATIONS FOR CANCER SURVIVORS: The high prevalence of accelerated functional decline in older women undergoing breast cancer chemotherapy underscores the urgency to develop interventions aimed at preserving physical function and improving health outcomes. CLINICAL TRIAL: NCT01472094, Hurria Older PatiEnts (HOPE) with Breast Cancer Study.

Area Vulnerability and Disparities in Therapy for Patients With Metastatic Renal Cell Carcinoma.

Importance: Area-level measures of sociodemographic disadvantage may be associated with racial and ethnic disparities with respect to receipt of treatment for metastatic renal cell carcinoma (mRCC) but have not been investigated previously, to our knowledge. Objective: To assess the association between area-level measures of social vulnerability and racial and ethnic disparities in the treatment of US Medicare beneficiaries with mRCC from 2015 through 2019. Design, Setting, and Participants: This retrospective cohort study included Medicare beneficiaries older than 65 years who were diagnosed with mRCC from January 2015 through December 2019 and were enrolled in fee-for-service Medicare Parts A, B, and D from 1 year before through 1 year after presumed diagnosis or until death. Data were analyzed from November 22, 2022, through January 26, 2024. Exposures: Five different county-level measures of disadvantage and 4 zip code-level measures of vulnerability or deprivation and segregation were used to dichotomize whether an individual resided in the most vulnerable quartile according to each metric. Patient-level factors included age, race and ethnicity, sex, diagnosis year, comorbidities, frailty, Medicare and Medicaid dual enrollment eligibility, and Medicare Part D low-income subsidy (LIS). Main Outcomes and Measures: The main outcomes were receipt and type of systemic therapy (oral anticancer agent or immunotherapy from 2 months before to 1 year after diagnosis of mRCC) as a function of patient and area-level characteristics. Multivariable regression analyses were used to adjust for patient factors, and odds ratios (ORs) from logistic regression and relative risk ratios (RRRs) from multinomial logistic regression are reported. Results: The sample included 15 407 patients (mean [SD] age, 75.6 [6.8] years), of whom 9360 (60.8%) were men; 6931 (45.0%), older than 75 years; 93 (0.6%), American Indian or Alaska Native; 257 (1.7%), Asian or Pacific Islander; 757 (4.9%), Hispanic; 1017 (6.6%), non-Hispanic Black; 12 966 (84.2%), non-Hispanic White; 121 (0.8%), other; and 196 (1.3%), unknown. Overall, 8317 patients (54.0%) received some type of systemic therapy. After adjusting for individual factors, no county or zip code-level measures of social vulnerability, deprivation, or segregation were associated with disparities in treatment. In contrast, patient-level factors, including female sex (OR, 0.78; 95% CI, 0.73-0.84) and LIS (OR, 0.48; 95% CI, 0.36-0.65), were associated with lack of treatment, with particularly limited access to immunotherapy for patients with LIS (RRR, 0.25; 95% CI, 0.14-0.43). Associations between individual-level factors and treatment in multivariable analysis were not mediated by the addition of area-level metrics. Disparities by race and ethnicity were consistently and only observed within the most vulnerable areas, as indicated by the top quartile of each vulnerability deprivation index. Conclusions and Relevance: In this cohort study of older Medicare patients diagnosed with mRCC, individual-level demographics, including race and ethnicity, sex, and income, were associated with receipt of systemic therapy, whereas area-level measures were not. However, individual-level racial and ethnic disparities were largely limited to socially vulnerable areas, suggesting that efforts to improve racial and ethnic disparities may be most effective when targeted to socially vulnerable areas.