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Shinder BM, Kim S, Srivastava A, Patel HV, Jang TL, Mayer TM, Saraiya B, Ghodoussipour SB, Singer EA. Factors associated with clinical trial participation for patients with renal cell carcinoma. Urol Oncol 2023; 41:208.e1-208.e8. [PMID: 36868881 PMCID: PMC10106382 DOI: 10.1016/j.urolonc.2023.01.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 12/04/2022] [Accepted: 01/30/2023] [Indexed: 03/05/2023]
Abstract
OBJECTIVE Recruitment of a diverse and representative study population is critical to the external validity of oncology clinical trials. The primary objective of this study was to characterize the factors associated with clinical trial participation for patients with renal cell carcinoma and the secondary objective was to examine differences in survival outcomes. MATERIALS AND METHODS We used a matched case-control design by querying the National Cancer Database for patients with renal cell carcinoma who were coded as having enrolled in a clinical trial. Trial patients were matched in a 1:5 ratio to the control cohort based on clinical stage and then sociodemographic variables were compared between the 2 groups. Multivariable conditional logistic regression models evaluated factors associated with clinical trial participation. The trial patient cohort was then matched again in a 1:10 ratio based on age, clinical stage, and comorbidities. Log-rank test was used to compare overall survival (OS) between these groups. RESULTS From 2004 to 2014, 681 patients enrolled in clinical trials were identified. Clinical trial patients were significantly younger and had a lower Charlson-Deyo comorbidity score. On multivariate analysis, male patients and white patients were more likely to participate compared to their Black counterparts. Having Medicaid or Medicare negatively associated with trial participation. Median OS was greater among clinical trial participants. CONCLUSION Patient sociodemographic factors remain significantly associated with clinical trial participation and trial participants experienced superior OS to their matched counterparts.
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Affiliation(s)
- Brian M Shinder
- Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Sinae Kim
- Section of Biometrics, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Arnav Srivastava
- Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Hiren V Patel
- Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Thomas L Jang
- Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Tina M Mayer
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Biren Saraiya
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Saum B Ghodoussipour
- Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Eric A Singer
- Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ; Division of Urologic Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH.
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Shayeb AM, McManus HD, Urman D, Jani C, Zhang T, Dizman N, Meza L, Sivakumar A, Gan CL, Barata P, Bilen MA, Gao X, Heng D, Pal S, Narra R, Kilari D, Kaymakcalan MD, McGregor B, Choueiri TK, McKay RR. Cabozantinib Safety With Different Anticoagulants in Patients With Renal Cell Carcinoma. Clin Genitourin Cancer 2023; 21:55-62. [PMID: 36411184 DOI: 10.1016/j.clgc.2022.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/23/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND In patients with renal cell carcinoma (RCC) on cabozantinib, venous thromboembolism (VTE) management remains challenging due to limited safety data regarding direct oral anticoagulants (DOACs) use in conjunction with cabozantinib. We investigated the safety of cabozantinib with different anticoagulants in patients with RCC. METHODS In this retrospective multicenter study (9 sites), patients with advanced RCC were allocated into 4 groups: (1) cabozantinib without anticoagulation, cabozantinib with concomitant use of (2) DOACs, (3) low molecular weight heparin (LMWH), or (4) warfarin. The primary safety endpoint was the proportion of major bleeding events (defined per International Society on Thrombosis and Hemostasis criteria). The primary efficacy endpoint was the proportion of new/recurrent VTE while anticoagulated. RESULTS Between 2016 and 2020, 298 patients with RCC received cabozantinib (no anticoagulant = 178, LMWH = 41, DOAC = 64, and warfarin = 15). Most patients had clear cell histology (78.5%) and IMDC intermediate/poor disease (78.2%). Cabozantinib was first, second, or ≥ third line in 21.8%, 31.9%, 43.3% of patients, respectively. Overall, there was no difference in major bleeding events between the no anticoagulant, LMWH, and DOAC groups (P = .088). Rate of new/recurrent VTE was similar among anticoagulant groups. Patients with a VTE had a statistically significantly worse survival than without a VTE (HR 1.48 [CI 95% 1.05-2.08, P = .02]). CONCLUSION This real-world cohort provides first data on bleeding and thrombosis complications in patients with RCC treated with cabozantinib with or without concurrent anticoagulation. DOACs appear safe for VTE treatment for patients with RCC on cabozantinib, but optimized anticoagulation management, including individualized risk-benefit discussion, remains important in clinical practice.
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Affiliation(s)
| | | | | | - Chinmay Jani
- Mount Auburn Hospital - Harvard Medical School, Cambridge, MA
| | | | | | | | | | - Chun L Gan
- Tom Baker Cancer Center, Calgary, Alberta, Canada
| | - Pedro Barata
- University Hospitals Seidman Cancer Center, Cleveland, OH
| | | | - Xin Gao
- Massachusetts General Hospital, Boston, MA
| | - Daniel Heng
- Tom Baker Cancer Center, Calgary, Alberta, Canada
| | | | - Ravi Narra
- Medical College of Wisconsin, Milwaukee, WI
| | | | | | | | | | - Rana R McKay
- University of California San Diego, La Jolla, CA.
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3
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Elshami M, Hue JJ, Hoehn RS, Rothermel LD, Bajor D, Mohamed A, Selfridge JE, Chavin KD, Ammori JB, Hardacre JM, Winter JM, Ocuin LM. A nationwide analysis of clinical trial participation for common hepato-pancreato-biliary malignancies demonstrates survival advantages for subsets of trial patients but disparities in and infrequency of enrollment. HPB (Oxford) 2022; 24:1280-1290. [PMID: 35063353 DOI: 10.1016/j.hpb.2021.12.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 11/25/2021] [Accepted: 12/30/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND We describe factors associated with trial enrollment for patients with hepato-pancreato-biliary (HPB) malignancies. We analyzed the association and effect of trial enrollment on overall survival (OS). METHODS The National Cancer Database (2004-2017) was queried for common HPB malignancies (pancreatic adenocarcinoma [PDAC] & neuroendocrine tumors, hepatocellular carcinoma [HCC], biliary tract cancers [BTC]). Multivariable logistic regression was used to identify factors associated with trial enrollment. OS was analyzed by multivariable Cox regression. Inverse-probability-weighted Cox regression was utilized to determine the effect of trial enrollment on OS. RESULTS A total of 1573 (0.3%) of 511,639 patients were enrolled in trials; pancreatic malignancy: 1214 (0.4%); HCC: 217 (0.14%); BTC: 106 (0.15%). HCC and BTC were associated with lower likelihood of enrollment compared with pancreatic malignancy. Black and Hispanic patients were less likely to be enrolled compared to White patients. Treatment at academic facilities and metastatic disease were associated with higher likelihood of enrollment. Enrollment was associated with higher OS for PDAC, metastatic HCC, and metastatic BTC. Trial enrollment exhibited an OS advantage for PDAC and metastatic HCC. CONCLUSION Nationally, fewer than 1% of patients with HPB malignancies were enrolled in clinical trials. There are racial, sociodemographic, and facility-based disparities in trial enrollment.
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Affiliation(s)
- Mohamedraed Elshami
- Division of Surgical Oncology, Department of Surgery University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Jonathan J Hue
- Division of Surgical Oncology, Department of Surgery University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Richard S Hoehn
- Division of Surgical Oncology, Department of Surgery University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Luke D Rothermel
- Division of Surgical Oncology, Department of Surgery University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - David Bajor
- Division of Hematology/Oncology, Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Amr Mohamed
- Division of Hematology/Oncology, Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Jennifer E Selfridge
- Division of Hematology/Oncology, Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Kenneth D Chavin
- Division of Transplant and Hepatobiliary Surgery, Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - John B Ammori
- Division of Surgical Oncology, Department of Surgery University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Jeffrey M Hardacre
- Division of Surgical Oncology, Department of Surgery University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Jordan M Winter
- Division of Surgical Oncology, Department of Surgery University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Lee M Ocuin
- Division of Surgical Oncology, Department of Surgery University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
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Wheeler SB, Spees LP, Jackson BE, Baggett CD, Wilson LE, Greiner MA, Kaye DR, Zhang T, George D, Scales CD, Pritchard JE, Dinan MA. Patterns and Predictors of Oral Anticancer Agent Use in Diverse Patients With Metastatic Renal Cell Carcinoma. JCO Oncol Pract 2021; 17:e1895-e1904. [PMID: 34138665 DOI: 10.1200/op.20.01082] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Availability of targeted oral anticancer agents (OAAs) has transformed care for patients with metastatic renal cell carcinoma (mRCC). Our objective was to identify patterns and predictors of OAA use within 12 months after mRCC was detected to understand real-world adoption of OAAs. METHODS We used a novel, North Carolina cancer registry-linked multipayer claims data resource to examine patterns of use of five oral therapies among patients with mRCC diagnosed in 2006-2015, with claims through 2016. Patients were required to have 12 months of continuous enrollment before metastatic index date. Log-Poisson models estimated unadjusted and adjusted risk ratios (RRs) for associations between patient characteristics and OAA use. In sensitivity analyses, we used a competing risk framework to estimate adjusted risk differences in OAA use. RESULTS Our population-based study of 713 patients demonstrated low (37%) OAA use during the first year after metastatic index date among both publicly and privately insured patients, with shifting patterns of use consistent with regulatory approvals over time. Compared with patients age 18-49 years, patients age 70-74 years were half likely to use OAAs (95% confidence limit [CL], 0.34 to 0.78) and patients age 80+ years were 71% less likely to use OAAs (95% CL, 0.17 to 0.50). Patients with two comorbidities (RR, 0.73; 95% CL, 0.55 to 0.98) and those with 3+ comorbidities (RR, 0.68; 95% CL, 0.50 to 0.91) were less likely to receive OAA than those without comorbidities. Patients with higher frailty also had lower OAA utilization (RR, 0.67; 95% CL, 0.52 to 0.85). CONCLUSION These findings suggest a need to better understand the system-level and provider-level drivers of OAA underuse, as well as OAA adherence and associated survival.
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Affiliation(s)
- Stephanie B Wheeler
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill (UNC-CH), Chapel Hill, NC.,Lineberger Comprehensive Cancer Center, UNC-CH, Chapel Hill, NC
| | - Lisa P Spees
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill (UNC-CH), Chapel Hill, NC.,Lineberger Comprehensive Cancer Center, UNC-CH, Chapel Hill, NC
| | | | - Christopher D Baggett
- Lineberger Comprehensive Cancer Center, UNC-CH, Chapel Hill, NC.,Department of Epidemiology, Gillings School of Global Public Health, UNC-CH, Chapel Hill, NC
| | - Lauren E Wilson
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Melissa A Greiner
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Deborah R Kaye
- Department of Medicine, Duke University School of Medicine, Durham, NC.,Department of Surgery (Urology), Duke University School of Medicine, Durham, NC
| | - Tian Zhang
- Department of Surgery (Urology), Duke University School of Medicine, Durham, NC.,Duke Cancer Institute Center for Prostate and Urologic Cancers, Durham, NC
| | - Daniel George
- Department of Surgery (Urology), Duke University School of Medicine, Durham, NC.,Duke Cancer Institute Center for Prostate and Urologic Cancers, Durham, NC
| | - Charles D Scales
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC.,Duke Cancer Institute Center for Prostate and Urologic Cancers, Durham, NC
| | - Jessica E Pritchard
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Michaela A Dinan
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC.,Duke Cancer Institute, Durham, NC
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5
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Olsen TA, Martini DJ, Goyal S, Liu Y, Evans ST, Magod B, Brown JT, Yantorni L, Russler GA, Caulfield S, Goldman JM, Harris WB, Kucuk O, Carthon BC, Master VA, Nazha B, Bilen MA. Racial Differences in Clinical Outcomes for Metastatic Renal Cell Carcinoma Patients Treated With Immune-Checkpoint Blockade. Front Oncol 2021; 11:701345. [PMID: 34222024 PMCID: PMC8242950 DOI: 10.3389/fonc.2021.701345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 05/28/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Immune-checkpoint-inhibitors (ICIs) have become the cornerstone of metastatic renal-cell-carcinoma (mRCC) therapy. However, data are limited regarding clinical outcomes by race. In this study, we compared the real-world outcomes between African American (AA) and Caucasian mRCC patients treated with ICIs. METHODS We performed a retrospective study of 198 patients with mRCC who received ICI at the Emory Winship Cancer Institute from 2015-2020. Clinical outcomes were measured by overall survival (OS), progression-free survival (PFS), and overall response rate (ORR) defined as a complete or partial response maintained for at least 6 months per response evaluation criteria in solid tumors version 1.1. Univariate and multivariable analyses were carried out for OS and PFS by Cox proportional-hazard model and ORR by logistical-regression model. Descriptive statistics compared rates of immune-related adverse events (irAEs) and non-clear-cell-RCC (nccRCC) histology were assessed using Chi-square test. RESULTS Our cohort was comprised of 38 AA and 160 Caucasian patients. Most were diagnosed with clear-cell-RCC (ccRCC) (78%) and more than half received (57%) PD-1/PD-L1 monotherapy. Most patients were intermediate or poor-risk groups (83%). Comparing to Caucasians, our AA cohort contained more females and nccRCC cases. Kaplan-Meier method showed AAs had no statistically different median OS (17 vs 25 months, p=0.368) and PFS (3.1 vs 4.4 months, p=0.068) relative to Caucasian patients. On multivariable analysis, AA patients had significantly shorter PFS (HR=1.52, 95% CI: 1.01-2.3, p=0.045), similar ORR (OR=1.04, 95% CI: 0.42-2.57, p=0.936) and comparable OS (HR=1.09, 95% CI: 0.61-1.95, p=0.778) relative to Caucasians. CONCLUSIONS Our real-world analysis of ICI-treated mRCC patients showed that AAs experienced shorter PFS but similar OS relative to Caucasians. This similarity in survival outcomes is reassuring for the use of ICI amongst real-world patient populations, however, the difference in treatment response is poorly represented in early outcomes data from clinical trials. Thus, the literature requires larger prospective studies to validate these findings.
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Affiliation(s)
- T. Anders Olsen
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Dylan J. Martini
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Subir Goyal
- Departments of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States
| | - Yuan Liu
- Departments of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States
| | - Sean T. Evans
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Benjamin Magod
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Jacqueline T. Brown
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Lauren Yantorni
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Greta Anne Russler
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Sarah Caulfield
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Department of Pharmaceutical Services, Emory University School of Medicine, Atlanta, GA, United States
| | - Jamie M. Goldman
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Wayne B. Harris
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Omer Kucuk
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Bradley C. Carthon
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Viraj A. Master
- Department of Urology, Emory University School of Medicine, Atlanta, GA, United States
| | - Bassel Nazha
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Mehmet Asim Bilen
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
- Winship Cancer Institute of Emory University, Atlanta, GA, United States
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Black race may be associated with worse overall survival in renal cell carcinoma patients. Urol Oncol 2020; 38:938.e9-938.e17. [PMID: 32950398 DOI: 10.1016/j.urolonc.2020.08.034] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 07/26/2020] [Accepted: 08/26/2020] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To examine socio-demographic and treatment variables in an attempt to identify factors associated with survival differences between black and white patients with renal cell carcinoma (RCC). PATIENTS AND METHODS We identified 79,618 white and 10,604 black patients diagnosed with RCC in the National Cancer Database. We compared the distribution of socio-demographic, presentation and treatment variables between Blacks and Whites and then utilized a multivariable cox proportion hazards regression model to evaluate the contribution of differences in these variables to disparities in overall survival (OS). RESULTS Black patients were younger (60 vs. 63 years, P< 0.001) and with a lower stage (12.0% vs. 18.8% Stage III-IV P< 0.001). Blacks presented with a higher Charlson-Deyo score (P< 0.001), lower income (P< 0.001), lower education (P< 0.001) and were less likely to receive radical nephrectomy and systemic therapy for stage IV RCC (29.9% vs. 38.8%, P< 0.001). Unadjusted OS was lower for Whites (5-year survival 79% for Blacks and 77% for Whites). However, OS was lower for Blacks when adjusted for all variables (5-year survival 89% for Blacks and 93% for Whites). On multivariable analysis, black race was independently associated with worse OS, HR: 1.09 (95% confidence interval: 1.03, 1.14, P= 0.002). A sensitivity analysis including patients with complete data on tumor grade confirmed our results. CONCLUSION Our study indicates that black patients present at a younger age and with lower stage RCC, but have worse OS. Blacks experienced disparities in socio-demographic characteristics, clinical presentation, treatment-related factors, and had an independently increased hazard of death.
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Baumann AA, Cabassa LJ. Reframing implementation science to address inequities in healthcare delivery. BMC Health Serv Res 2020; 20:190. [PMID: 32164706 PMCID: PMC7069050 DOI: 10.1186/s12913-020-4975-3] [Citation(s) in RCA: 176] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 02/11/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Research has generated valuable knowledge in identifying, understanding, and intervening to address inequities in the delivery of healthcare, yet these inequities persist. The best available interventions, programs and policies designed to address inequities in healthcare are not being adopted in routine practice settings. Implementation science can help address this gap by studying the factors, processes, and strategies at multiple levels of a system of care that influence the uptake, use, and the sustainability of these programs for vulnerable populations. We propose that an equity lens can help integrate the fields of implementation science and research that focuses on inequities in healthcare delivery. MAIN TEXT Using Proctor et al.' (12) framework as a case study, we reframed five elements of implementation science to study inequities in healthcare. These elements include: 1) focus on reach from the very beginning; 2) design and select interventions for vulnerable populations and low-resource communities with implementation in mind; 3) implement what works and develop implementation strategies that can help reduce inequities in care; 4) develop the science of adaptations; and 5) use an equity lens for implementation outcomes. CONCLUSIONS The goal of this paper is to continue the dialogue on how to critically infuse an equity approach in implementation studies to proactively address healthcare inequities in historically underserved populations. Our examples provide ways to operationalize how we can blend implementation science and healthcare inequities research.
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Affiliation(s)
- Ana A. Baumann
- Washington University in St. Louis, Campus Box 1196, One Brookings Drive, St. Louis, MO 63130 USA
| | - Leopoldo J. Cabassa
- Washington University in St. Louis, Campus Box 1196, One Brookings Drive, St. Louis, MO 63130 USA
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8
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Racial and ethnic differences in survival in contemporary metastatic renal cell carcinoma patients, according to alternative treatment modalities. Cancer Causes Control 2020; 31:263-272. [PMID: 31993859 DOI: 10.1007/s10552-020-01270-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 01/21/2020] [Indexed: 10/25/2022]
Abstract
PURPOSE To test the association between African-American race and overall mortality (OM) rates in patients with metastatic renal cell carcinoma (mRCC). METHODS Within the Surveillance, Epidemiology, and End Results registry (2006-2015), we identified patients with clear cell (ccmRCC) and non-clear cell mRCC (non-ccmRCC). African-Americans, Caucasians, and Hispanics were identified. Stratification was made according to histology and treatments: (1) no treatment, (2) systemic therapy (ST), (3) cytoreductive nephrectomy (CNT), (4) CNT + ST. Kaplan-Meier plots and multivariable Cox regression analyses were used. RESULTS Of ccmRCC patients, 410 (7%), 4353 (75%), and 1005 (17%) were African-American, Caucasian, and Hispanic, respectively. Of non-ccmRCC patients, 183 (25%), 479 (65%), and 77 (10%) were African-American, Caucasian, and Hispanic, respectively. In ccmRCC, African-Americans were associated with higher OM rates (HR 1.20; 95% CI 1.05-1.37). Conversely, in non-ccmRCC, African-Americans were associated with lower OM rates (HR 0.75; 95% CI 0.59-0.97). CONCLUSION African-American race is associated with prolonged survival in non-ccmRCC, but it is also associated with lower survival rates in ccmRCC. The exception to these observations consisted of patients treated with combination of CNT + ST for either ccmRCC or non-ccmRCC.
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9
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Li P, Jahnke J, Pettit AR, Wong YN, Doshi JA. Comparative Survival Associated With Use of Targeted vs Nontargeted Therapy in Medicare Patients With Metastatic Renal Cell Carcinoma. JAMA Netw Open 2019; 2:e195806. [PMID: 31199450 PMCID: PMC6575152 DOI: 10.1001/jamanetworkopen.2019.5806] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
IMPORTANCE Targeted therapies for advanced renal cell carcinoma (RCC) have shown increased tolerability and survival advantages over older treatments in clinical trials, but understanding of real-world survival improvements is still emerging. OBJECTIVE To compare overall and RCC-specific survival associated with use of targeted vs nontargeted therapy for metastatic RCC. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study used Surveillance, Epidemiology, and End Results-Medicare data from 2000 to 2013 to examine patients with stage IV (distant) clear cell RCC at the time of diagnosis who received any targeted or nontargeted therapy. A 2-stage residual inclusion model was fitted to estimate the survival advantages of targeted treatments using an instrumental variable approach to account for both measured and unmeasured group differences. Data analyses were conducted from July 24, 2017, to April 4, 2019. EXPOSURES Targeted therapy (study group) or nontargeted therapy (control group). MAIN OUTCOMES AND MEASURES Overall survival and RCC-specific survival, defined as the interval between the date of first drug treatment and date of death or end of the observation period. RESULTS The final sample included 1015 patients (mean [SD] age, 71.2 [8.1] years; 392 [39%] women); 374 (37%) received nontargeted therapy and 641 (63%) received targeted therapy. The targeted therapy group had a greater percentage of disabled patients (ie, those <65 years old who were eligible for Medicare because of disability) and older patients (ie, those ≥75 years old) and higher comorbidity index and disability scores compared with the nontargeted therapy group. Unadjusted Kaplan-Meier survival curves showed higher overall survival for targeted vs nontargeted therapy (log-rank test, χ21 = 5.79; P = .02); median survival was not statistically significantly different (8.7 months [95% CI, 7.3-10.2 months] vs 7.2 months [95% CI, 5.8-8.8 months]; P = .14). According to the instrumental variable analysis, the median overall survival advantage was 3.0 months (95% CI, 0.7-5.3 months), and overall survival improvements associated with targeted therapy vs nontargeted therapy were statistically significant: 8% at 1 year (44% [95% CI, 39%-50%] vs 36% [95% CI, 30%-42%]; P = .01), 7% at 2 years (25% [95% CI, 20%-30%] vs 18% [95% CI, 13%-23%]; P = .009), and 5% at 3 years (15% [95% CI, 11%-19%] vs 10% [95% CI, 6%-13%]; P = .01). Receipt of targeted therapy was associated with a lower hazard of death compared with nontargeted therapy (overall survival hazard ratio, 0.78 [95% CI, 0.65-0.94]; RCC-specific survival hazard ratio, 0.77 [95% CI, 0.62-0.96]). CONCLUSIONS AND RELEVANCE Targeted therapies were associated with modest survival advantages despite a treatment group with more medical complexity, likely reflecting appropriateness for an expanded population of patients. As advances in cancer treatment continue, rigorous methods that account for unobserved confounders will be needed to evaluate their real-world impact on outcomes.
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Affiliation(s)
- Pengxiang Li
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Jordan Jahnke
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Amy R. Pettit
- Center for Public Health Initiatives, University of Pennsylvania, Philadelphia
| | - Yu-Ning Wong
- Fox Chase Cancer Center, Philadelphia, Pennsylvania
- Now with Janssen Scientific Affairs, Titusville, New Jersey
| | - Jalpa A. Doshi
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Center for Public Health Initiatives, University of Pennsylvania, Philadelphia
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