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Huang ZN, Zheng CY, Wu J, Tang YH, Qiu WW, He QC, Lin GS, Chen QY, Lu J, Wang JB, Cao LL, Lin M, Tu RH, Xie JW, Li P, Lin W, Huang CM, Lin JX, Zheng CH. Textbook oncological outcomes and prognosis after curative gastrectomy in advanced gastric cancer: A multicenter study. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2024; 50:108280. [PMID: 38537365 DOI: 10.1016/j.ejso.2024.108280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 03/16/2024] [Accepted: 03/18/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND The impact of achieving textbook oncological outcome (TOO) as a multimodal therapy quality indicator on the prognosis of advanced gastric cancer (AGC) remains inadequately assessed. METHODS Patients with AGC who underwent curative gastrectomy between January 2010 and December 2017 at two East Asian medical centers were included. TOO was defined as achieving the textbook outcome (TO) and receiving neoadjuvant and/or adjuvant chemotherapy (NCT or ACT). Cox and logistic regression models were used to identify prognostic and non-TOO-associated risk factors. RESULTS Among 3626 patients, 57.6% achieved TOO (TOO group), exhibiting significantly better 5-year overall survival (OS) and disease-free survival (DFS) than the non-TOO group (both p < 0.05). Multivariate Cox regression identified TOO as an independent prognostic factor for 5-year OS (HR, 0.67; 95% CI, 0.61-0.74; p < 0.001) and DFS (HR, 0.73; 95% CI, 0.66-0.81; p < 0.001). Multivariate logistic regression showed that open gastrectomy, lack of health insurance, age ≥65 years, ASA score ≥ Ⅲ, and tumor size ≥50 mm are independent risk factors for non-achievement of TOO (all p < 0.05). On a sensitivity analysis of TOO's prognostic value using varying definitions of chemotherapy parameters, a stricter definition of chemotherapy resulted in a decrease in the TOO achievement rate from 57.6 to 22.3%. However, the associated reductions in the risk of death and recurrence fluctuated within the ranges of 33-39% and 28-37%, respectively. CONCLUSIONS TOO is a reliable and stable metric for favorable prognosis in AGC. Optimizing the surgical approach and improving health insurance status may enhance TOO achievement.
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Affiliation(s)
- Ze-Ning Huang
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Chang-Yue Zheng
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China; Department of Gastrointestinal Surgery, The Affiliated Hospital of Putian University, Putian, China
| | - Ju Wu
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China; Department of General Surgery, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Yi-Hui Tang
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Wen-Wu Qiu
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Qi-Chen He
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Guo-Sheng Lin
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Qi-Yue Chen
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Jun Lu
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Jia-Bin Wang
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Long-Long Cao
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Mi Lin
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Ru-Hong Tu
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Jian-Wei Xie
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Ping Li
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China
| | - Wei Lin
- Department of Gastrointestinal Surgery, The Affiliated Hospital of Putian University, Putian, China
| | - Chang-Ming Huang
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China.
| | - Jian-Xian Lin
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China.
| | - Chao-Hui Zheng
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China; Fujian Key Laboratory of Tumor Microbiology, Department of Medical Microbiology, Fujian Medical University, Fuzhou, China.
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Keruakous AR, Akpan I, Chahin M, Kirolos A, Keruakous M. Equity in oncology care: addressing disparities in cancer treatment in Georgia. Front Public Health 2024; 12:1381075. [PMID: 38756877 PMCID: PMC11098010 DOI: 10.3389/fpubh.2024.1381075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/04/2024] [Indexed: 05/18/2024] Open
Abstract
This research delves into the disparities in access to oncology care among cancer patients in Georgia, with a specific focus on the distinct challenges faced by African American (AA) individuals compared to non-African American (Non-AA) counterparts. Leveraging data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) survey and supplementary online resources, the study meticulously examines socioeconomic factors, including income, education, and insurance coverage, which significantly influence the quality of cancer care received. The analysis reveals substantial income gaps between AA and Non-AA patients, underscoring the critical implications for healthcare access. Moreover, AA patients exhibit lower rates of full insurance coverage for cancer-related treatments, posing additional barriers to comprehensive care. By investigating the intersections of race, income, and education, the research aims to pinpoint the root causes of these disparities and proposes evidence-based solutions to address the identified challenges. The ultimate objective is to contribute valuable insights that inform targeted policy recommendations and community-based interventions, fostering a more equitable landscape for oncology care in Georgia. This study seeks to amplify awareness and advocate for tangible measures, striving toward healthcare equity for all cancer patients, irrespective of their racial or socioeconomic backgrounds.
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Affiliation(s)
- Amany R. Keruakous
- Hematology Oncology Department, Georgia Cancer Center, Wellstar MCG Health, Augusta, GA, United States
| | | | - Michael Chahin
- Hematology Oncology Department, Georgia Cancer Center, Wellstar MCG Health, Augusta, GA, United States
| | | | - Mai Keruakous
- Mercer County Community College, Trenton, NJ, United States
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Barnes JM, Johnson KJ, Osazuwa-Peters N, Spraker MB. The impact of individual-level income predicted from the BRFSS on the association between insurance status and overall survival among adults with cancer from the SEER program. Cancer Epidemiol 2024; 89:102541. [PMID: 38325026 DOI: 10.1016/j.canep.2024.102541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/06/2024] [Accepted: 01/22/2024] [Indexed: 02/09/2024]
Abstract
INTRODUCTION Among patients with cancer in the United States, Medicaid insurance is associated with worse outcomes than private insurance and with similar outcomes as being uninsured. However, prior studies have not addressed the impact of individual-level socioeconomic status, which determines Medicaid eligibility, on the associations of Medicaid status and cancer outcomes. Our objective was to determine whether differences in cancer outcomes by insurance status persist after accounting for individual-level income. METHODS The Surveillance, Epidemiology, and End Results (SEER) database was queried for 18-64 year-old individuals with cancer from 2014-2016. Individual-level income was imputed using a model trained on Behavioral Risk Factors Surveillance Survey participants including covariates also present in SEER. The association of 1-year overall survival and insurance status was estimated with and without adjustment for estimated individual-level income and other covariates. RESULTS A total of 416,784 cases in SEER were analyzed. The 1-yr OS for patients with private insurance, Medicaid insurance, and no insurance was 88.7%, 76.1%, and 73.7%, respectively. After adjusting for all covariates except individual-level income, 1-year OS differences were worse with Medicaid (-6.0%, 95% CI = -6.3 to -5.6) and no insurance (-6.7%, 95% CI = -7.3 to -6.0) versus private insurance. After also adjusting for estimated individual-level income, the survival difference for Medicaid patients was similar to privately insured (-0.4%, 95% CI = -1.9 to 1.1) and better than uninsured individuals (2.1%, 95% CI = 0.7 to 3.4). CONCLUSIONS Income, rather than Medicaid status, may drive poor cancer outcomes in the low-income and Medicaid-insured population. Medicaid insurance coverage may improve cancer outcomes for low-income individuals.
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Affiliation(s)
- Justin M Barnes
- Department of Radiation Oncology, Washington University School of Medicine in St. Louis, Saint Louis, MO, USA.
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Richman IB, Soulos PR, Lin HJ, Aminawung JA, Oladeru OT, Puglisi LB, Wang EA, Gross CP. Incarceration and screen-detectable cancer diagnosis among adults in Connecticut. J Natl Cancer Inst 2024; 116:485-489. [PMID: 37991935 PMCID: PMC10919339 DOI: 10.1093/jnci/djad242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/27/2023] [Accepted: 11/13/2023] [Indexed: 11/24/2023] Open
Abstract
Although incarcerated adults are at elevated risk of dying from cancer, little is known about cancer screening in carceral settings. This study compared stage-specific incidence of screen-detectable cancers among incarcerated and recently released people with the general population, as a reflection of screening practices. We calculated the age- and sex-standardized incidence ratios (SIR) for early- and late-stage cancers for incarcerated and recently released adults compared to the general Connecticut population between 2005 and 2016. Our sample included 143 cancer cases among those incarcerated, 406 among those recently released, and 201 360 in the general population. The SIR for early-stage screen-detectable cancers was lower among incarcerated (SIR = 0.28, 95% CI = 0.17 to 0.43) and recently released (SIR = 0.69, 95% CI = 0.51 to 0.88) individuals than the general population. Incidence of late-stage screen-detectable cancer was lower during incarceration (SIR = 0.51, 95% CI = 0.27 to 0.88) but not after release (SIR = 1.32, 95% CI = 0.93 to 1.82). Findings suggest that underscreening and underdetection of cancer may occur in carceral settings.
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Affiliation(s)
- Ilana B Richman
- Cancer Outcomes, Public Policy, and Effectiveness Research, Yale School of Medicine, New Haven, CT, USA
| | - Pamela R Soulos
- Cancer Outcomes, Public Policy, and Effectiveness Research, Yale School of Medicine, New Haven, CT, USA
| | - Hsiu-ju Lin
- School of Social Work, University of Connecticut, Storrs, CT, USA
- Connecticut Department of Mental Health and Addiction Services, Hartford, CT, USA
| | - Jenerius A Aminawung
- Cancer Outcomes, Public Policy, and Effectiveness Research, Yale School of Medicine, New Haven, CT, USA
- SEICHE Center for Health and Justice, Yale School of Medicine, New Haven, CT, USA
| | | | - Lisa B Puglisi
- School of Social Work, University of Connecticut, Storrs, CT, USA
| | - Emily A Wang
- SEICHE Center for Health and Justice, Yale School of Medicine, New Haven, CT, USA
| | - Cary P Gross
- Cancer Outcomes, Public Policy, and Effectiveness Research, Yale School of Medicine, New Haven, CT, USA
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5
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Chen Q, Hu Y, Lin W, Huang Z, Li J, Lu H, Dai R, You L. Studying the impact of marital status on diagnosis and survival prediction in pancreatic ductal carcinoma using machine learning methods. Sci Rep 2024; 14:5273. [PMID: 38438400 PMCID: PMC10912082 DOI: 10.1038/s41598-024-53145-6] [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: 09/03/2023] [Accepted: 01/29/2024] [Indexed: 03/06/2024] Open
Abstract
Pancreatic cancer is a commonly occurring malignant tumor, with pancreatic ductal carcinoma (PDAC) accounting for approximately 95% of cases. According of its poor prognosis, identifying prognostic factors of pancreatic ductal carcinoma can provide physicians with a reliable theoretical foundation when predicting patient survival. This study aimed to analyze the impact of marital status on survival outcomes of PDAC patients using propensity score matching and machine learning. The goal was to develop a prognosis prediction model specific to married patients with PDAC. We extracted a total of 206,968 patient records of pancreatic cancer from the SEER database. To ensure the baseline characteristics of married and unmarried individuals were balanced, we used a 1:1 propensity matching score. We then conducted Kaplan-Meier analysis and Cox proportional-hazards regression to examine the impact of marital status on PDAC survival before and after matching. Additionally, we developed machine learning models to predict 5-year CSS and OS for married patients with PDAC specifically. In total, 24,044 PDAC patients were included in this study. After 1:1 propensity matching, 8043 married patients and 8,043 unmarried patients were successfully enrolled. Multivariate analysis and the Kaplan-Meier curves demonstrated that unmarried individuals had a poorer survival rate than their married counterparts. Among the algorithms tested, the random forest performed the best, with 0.734 5-year CSS and 0.795 5-year OS AUC. This study found a significant association between marital status and survival in PDAC patients. Married patients had the best prognosis, while widowed patients had the worst. The random forest is a reliable model for predicting survival in married patients with PDAC.
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Affiliation(s)
- Qingquan Chen
- The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China
- The School of Public Health, Fujian Medical University, Fuzhou, 350108, Fujian, China
| | - Yiming Hu
- The School of Public Health, Fujian Medical University, Fuzhou, 350108, Fujian, China
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Wen Lin
- Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350108, Fujian, China
| | - Zhimin Huang
- The School of Public Health, Fujian Medical University, Fuzhou, 350108, Fujian, China
| | - Jiaxin Li
- Anyang University, Anyang, 455000, China
| | - Haibin Lu
- The School of Public Health, Fujian Medical University, Fuzhou, 350108, Fujian, China
| | - Rongrong Dai
- The School of Public Health, Fujian Medical University, Fuzhou, 350108, Fujian, China
| | - Liuxia You
- The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
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Islami F, Baeker Bispo J, Lee H, Wiese D, Yabroff KR, Bandi P, Sloan K, Patel AV, Daniels EC, Kamal AH, Guerra CE, Dahut WL, Jemal A. American Cancer Society's report on the status of cancer disparities in the United States, 2023. CA Cancer J Clin 2024; 74:136-166. [PMID: 37962495 DOI: 10.3322/caac.21812] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 09/07/2023] [Indexed: 11/15/2023] Open
Abstract
In 2021, the American Cancer Society published its first biennial report on the status of cancer disparities in the United States. In this second report, the authors provide updated data on racial, ethnic, socioeconomic (educational attainment as a marker), and geographic (metropolitan status) disparities in cancer occurrence and outcomes and contributing factors to these disparities in the country. The authors also review programs that have reduced cancer disparities and provide policy recommendations to further mitigate these inequalities. There are substantial variations in risk factors, stage at diagnosis, receipt of care, survival, and mortality for many cancers by race/ethnicity, educational attainment, and metropolitan status. During 2016 through 2020, Black and American Indian/Alaska Native people continued to bear a disproportionately higher burden of cancer deaths, both overall and from major cancers. By educational attainment, overall cancer mortality rates were about 1.6-2.8 times higher in individuals with ≤12 years of education than in those with ≥16 years of education among Black and White men and women. These disparities by educational attainment within each race were considerably larger than the Black-White disparities in overall cancer mortality within each educational attainment, ranging from 1.03 to 1.5 times higher among Black people, suggesting a major role for socioeconomic status disparities in racial disparities in cancer mortality given the disproportionally larger representation of Black people in lower socioeconomic status groups. Of note, the largest Black-White disparities in overall cancer mortality were among those who had ≥16 years of education. By area of residence, mortality from all cancer and from leading causes of cancer death were substantially higher in nonmetropolitan areas than in large metropolitan areas. For colorectal cancer, for example, mortality rates in nonmetropolitan areas versus large metropolitan areas were 23% higher among males and 21% higher among females. By age group, the racial and geographic disparities in cancer mortality were greater among individuals younger than 65 years than among those aged 65 years and older. Many of the observed racial, socioeconomic, and geographic disparities in cancer mortality align with disparities in exposure to risk factors and access to cancer prevention, early detection, and treatment, which are largely rooted in fundamental inequities in social determinants of health. Equitable policies at all levels of government, broad interdisciplinary engagement to address these inequities, and equitable implementation of evidence-based interventions, such as increasing health insurance coverage, are needed to reduce cancer disparities.
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Affiliation(s)
| | | | | | | | | | - Priti Bandi
- American Cancer Society, Atlanta, Georgia, USA
| | | | | | | | | | - Carmen E Guerra
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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7
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Scheipner L, Tappero S, Piccinelli ML, Barletta F, Garcia CC, Incesu RB, Morra S, Tian Z, Saad F, Shariat SF, Terrone C, De Cobelli O, Briganti A, Chun FKH, Tilki D, Longo N, Seles M, Ahyai S, Karakiewicz PI. Differences in overall survival of penile cancer patients versus population-based controls. Int J Urol 2024; 31:274-279. [PMID: 38014575 DOI: 10.1111/iju.15346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 11/10/2023] [Indexed: 11/29/2023]
Abstract
PURPOSE To assess whether 5-year overall survival (OS) of squamous cell carcinoma of the penis (SCCP) patients differs from age-matched male population-based controls. METHODS We relied on the Surveillance Epidemiology and End Results database (2004-2018) to identify newly diagnosed (2004-2013) SCCP patients. For each case, we simulated an age-matched control (Monte Carlo simulation), relying on the Social Security Administration (SSA) Life Tables with 5 years of follow-up. We compared OS between SCCP patients and population-based controls in a stage-specific fashion. Smoothed cumulative incidence plots displayed cancer-specific mortality (CSM) versus other-cause mortality (OCM). RESULTS Of 2282 SCCP patients, the stage distribution was as follows: stage I 976 (43%) versus stage II 826 (36%) versus stage III 302 (13%) versus stage IV 178 (8%). At 5 years, OS of SCCP patients versus age-matched population-based controls was as follows: stage I 63% versus 80% (Δ = 17%), stage II 50% versus 80% (Δ = 30%), stage III 39% versus 84% (Δ = 45%), stage IV 26% versus 87% (Δ = 61%). At 5 years, CSM versus OCM in SCCP patients according to stage was as follows: stage I 12% versus 24%, stage II 22% versus 28%, stage III 47% versus 14%, and stage IV 60% versus 14%. CONCLUSION SCCP patients exhibit worse OS across all stages. The difference in OS at 5 years between SCCP and age-matched male population-based controls ranged from 17% to 61%. At 5 years, CSM accounted for 12% to 60% of all deaths, across all stages.
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Affiliation(s)
- Lukas Scheipner
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Department of Urology, Medical University of Graz, Graz, Austria
| | - Stefano Tappero
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Department of Urology, IRCCS Policlinico San Martino, Genova, Italy
- Department of Surgical and Diagnostic Integrated Sciences (DISC), University of Genova, Genova, Italy
| | - Mattia Luca Piccinelli
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Department of Urology, IEO European Institute of Oncology, IRCCS, Milan, Italy
- Università degli Studi di Milano, Milan, Italy
| | - Francesco Barletta
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Soldera Prostate Cancer Lab, Unit of Urology/Division of Oncology, Gianfranco, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Cristina Cano Garcia
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Department of Urology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Reha-Baris Incesu
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Simone Morra
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Department of Neurosciences, Science of Reproduction and Odontostomatology, University of Naples Federico II, Naples, Italy
| | - Zhe Tian
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
| | - Fred Saad
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
| | - Shahrokh F Shariat
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
- Department of Urology, Weill Cornell Medical College, New York, New York, USA
- Department of Urology, University of Texas Southwestern, Dallas, Texas, USA
- Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan
| | - Carlo Terrone
- Department of Urology, IRCCS Policlinico San Martino, Genova, Italy
- Department of Surgical and Diagnostic Integrated Sciences (DISC), University of Genova, Genova, Italy
| | - Ottavio De Cobelli
- Department of Urology, IEO European Institute of Oncology, IRCCS, Milan, Italy
- Department of Oncology and Haemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Alberto Briganti
- Soldera Prostate Cancer Lab, Unit of Urology/Division of Oncology, Gianfranco, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Derya Tilki
- Department of Urology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
- Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
- Department of Urology, Koc University Hospital, Istanbul, Turkey
| | - Nicola Longo
- Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Maximilian Seles
- Department of Urology, Medical University of Graz, Graz, Austria
| | - Sascha Ahyai
- Department of Urology, Medical University of Graz, Graz, Austria
| | - Pierre I Karakiewicz
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
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Johnson CR, Liao CI, Tian C, Richardson MT, Duong K, Tran N, Winkler SS, Kapp DS, Darcy K, Chan JK. Uterine cancer among Asian Americans - Disparities & clinical characteristics. Gynecol Oncol 2024; 182:24-31. [PMID: 38246043 DOI: 10.1016/j.ygyno.2023.12.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/19/2023] [Accepted: 12/22/2023] [Indexed: 01/23/2024]
Abstract
OBJECTIVE To evaluate the patterns and trends of uterine cancer among Asian subgroups living in the U.S. METHODS Data were obtained from United States Cancer Statistics (2001-2017), National Cancer Database (2004-2015), and World Population Review (2023). SEER*Stat version 8.3.9.2, Joinpoint regression program 4.9.0.0, and SAS v 9.4 were employed for statistical analysis. RESULTS Based on data from 778,891 women in the United States Cancer Statistics database, Asians had a 3.4-fold higher rate of incident uterine cancer compared to White populations (2.14% vs. 0.63%; p < 0.001). Using the National Cancer Database, 7,641 Asian women from six subgroups were analyzed: Filipino, Korean, Indian/Pakistani, Vietnamese, Chinese, and Japanese. Indian and Pakistani women had the greatest increase in the proportion of cancer diagnoses (5.0% to 14.4%; p = 0.0003). Additionally, Indian and Pakistani patients had higher comorbidity scores while Koreans had the lowest (22.7% vs. 10.7%, p < 0.0001). Regarding stage of disease, 25.3% of Filipinos presented with advanced stage disease compared to 19.2% of Indians and Pakistanis (p = 0.0001). Furthermore, Filipinos had the highest proportion of non-endometrioid cancers at 18.4% compared to other subgroups (p = 0.0003). Using the World Population Review, female obesity was highest in Pakistan (8.6%) and the Philippines (7.5%) and lowest in Vietnam (2.6%). CONCLUSION Uterine cancer incidence increased at higher rates among Asians compared to White populations. Specifically, Indian and Pakistani uterine cancer patients were more likely to have higher comorbidity rates and Filipino patients had more advanced stage cancer with non-endometrioid histologies than other Asian subgroups. Further research is warranted to better understand these trends.
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Affiliation(s)
- Caitlin R Johnson
- California Pacific Medical Center Research Institute, 1100 Van Ness, San Francisco, CA 94109, USA.
| | - Cheng-I Liao
- Pingtung Veterans General Hospital, Department of Obstetrics and Gynecology, Pingtung, Taiwan
| | - Chunqiao Tian
- Gynecologic Cancer Center of Excellence Program, Henry M Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
| | - Michael T Richardson
- University of California, Los Angeles, Department of Obstetrics and Gynecology, 757 Westwood Blvd, Los Angeles, CA, USA
| | - Kim Duong
- Western University of Health Sciences, College of Osteopathic Medicine, 309 E 2nd St, Pomona, CA 91766, USA
| | - Nathan Tran
- California Pacific Medical Center Research Institute, 1100 Van Ness, San Francisco, CA 94109, USA
| | - Stuart S Winkler
- Brooke Army Medical Center, Department of Obstetrics and Gynecology, 3551 Roger Brooke Dr., Fort Sam Houston, TX, United States of America
| | - Daniel S Kapp
- Stanford University School of Medicine, Department of Radiation Oncology, 875 Blake Wilbur Dr, Stanford, CA 94304, USA
| | - Kathleen Darcy
- Gynecologic Cancer Center of Excellence Program, Henry M Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
| | - John K Chan
- California Pacific Medical Center Research Institute, 1100 Van Ness, San Francisco, CA 94109, USA
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9
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Davidoff AJ, Enewold L, Williams CP, Bhattacharya M, Sanchez JI. Accuracy of Cancer Registry Primary Payer Information and Implications for Policy Research. Med Care 2024; 62:161-169. [PMID: 38189658 DOI: 10.1097/mlr.0000000000001974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
BACKGROUND Cancer registry-based "primary payer at diagnosis" (PPDx) data are commonly used to evaluate the effect of insurance on cancer care outcomes, yet little is known about how well they capture Medicaid or Medicare enrollment. METHODS We linked the National Cancer Institute's Surveillance, Epidemiology, and End Results registry data to monthly Centers for Medicare and Medicaid Services (CMS) Medicaid and Medicare enrollment records, state-year Medicaid policy, and managed care enrollment. We selected adults aged 19-64 years diagnosed between 2007 and 2011. We used bivariate analyses to compare PPDx to CMS enrollment at diagnosis month and assessed underreporting rates by patient characteristics and state-year policy. RESULTS PPDx reported 7.8% Medicare and 10.1% Medicaid, whereas CMS enrollment indicated 5.5% Medicare, 10.4% Medicaid, and 3.4% dual Medicare-Medicaid (N = 896,031). Positive predictive values for PPDx assignment to Medicaid and Medicare were 65.3% and 75.4%, with false negative rates of 52.0% and 33.8%, respectively. Medicaid underreporting was higher in low (56.5%) versus high (50.8%) poverty areas, for males (56.1%) versus females (48.9%), for Medicaid poverty expansion or waiver enrolled (63.8%) versus cash assistance-related eligibility (47.3%), and in states with large managed care enrollment (all P < 0.001). If Medicaid and Medicare enrollment data were used to edit PPDx, 12.0% of persons would switch primary payer assignment. CONCLUSIONS Registry-reported PPDx fails to fully capture Medicaid and Medicare enrollment, which may result in biased estimates of insurance-related policy impacts. Enhancement with objective enrollment data could reduce measurement error and bias in estimates necessary to support policy assessment.
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Affiliation(s)
- Amy J Davidoff
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD
| | - Lindsey Enewold
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD
| | - Courtney P Williams
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD
- Department of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Manami Bhattacharya
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD
| | - Janeth I Sanchez
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD
- Office of the Director, National Institutes of Health, Bethesda, MD
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10
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Franks JA, Davis ES, Bhatia S, Kenzik KM. Contribution of County Characteristics to Disparities in Rural Mortality After Cancer Diagnosis. Am J Prev Med 2024:S0749-3797(24)00042-4. [PMID: 38342479 DOI: 10.1016/j.amepre.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 02/06/2024] [Accepted: 02/06/2024] [Indexed: 02/13/2024]
Abstract
INTRODUCTION Rural disparities in cancer outcomes have been widely evaluated, but limited evidence is available to describe what characteristics of rural environments contribute to the increased risk of poor outcomes. Therefore, this manuscript sought to assess the mediating effects of county characteristics on the relationship between urban/rural status and mortality among patients with cancer, characterize county profiles, and determine at-risk county profiles alongside rural settings. METHODS Patients diagnosed with cancer between 2000 and 2016 were assessed using Surveillance, Epidemiology and End Results data linked to the 2010 Rural-Urban Commuting Codes and 2010 County Health Rankings. There were 757,655 patients representing 596 counties (of 3,143 in the U.S.) and 12 states. Mediation analyses, conducted in 2023, estimated the direct contribution of rurality to 5-year all-cause survival and the contribution of the rural effect indirectly through County Health Ranking domains. Latent class analysis and survival models identified county groupings and estimated the hazard of mortality associated with class membership. RESULTS Rankings for premature death, clinical care, and physical environment resulted in rural patients having 17.9%-20.2% less survival time than urban patients. Of this, 4.1%-12.6% of the total excess risk was mediated by these characteristics. Patients living in rural and high-risk county classes saw higher all-cause mortality than those in urban lower-risk counties (hazard ratio=1.04, 95% CI=1.01, 1.08 and 1.07, 95% CI=1.03, 1.11). CONCLUSIONS Counties with poorer health rankings had increased mortality risks regardless of rurality; however, the poor rankings, notably health behaviors and social and economic factors, elevated the risk for rural counties.
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Affiliation(s)
- Jeffrey A Franks
- Division of Hematology and Oncology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Elizabeth S Davis
- Department of Surgery, Chobanian & Avedisian School of Medicine, Boston University, Boston, Massachusetts
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Kelly M Kenzik
- Department of Surgery, Chobanian & Avedisian School of Medicine, Boston University, Boston, Massachusetts; Slone Epidemiology Center, Boston University, Boston, Massachusetts.
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11
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Ginsburg O, Vanderpuye V, Beddoe AM, Bhoo-Pathy N, Bray F, Caduff C, Florez N, Fadhil I, Hammad N, Heidari S, Kataria I, Kumar S, Liebermann E, Moodley J, Mutebi M, Mukherji D, Nugent R, So WKW, Soto-Perez-de-Celis E, Unger-Saldaña K, Allman G, Bhimani J, Bourlon MT, Eala MAB, Hovmand PS, Kong YC, Menon S, Taylor CD, Soerjomataram I. Women, power, and cancer: a Lancet Commission. Lancet 2023; 402:2113-2166. [PMID: 37774725 DOI: 10.1016/s0140-6736(23)01701-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 06/27/2023] [Accepted: 08/11/2023] [Indexed: 10/01/2023]
Affiliation(s)
- Ophira Ginsburg
- Centre for Global Health, US National Cancer Institute, Rockville, MD, USA.
| | | | | | | | - Freddie Bray
- International Agency for Research on Cancer, Lyon, France
| | - Carlo Caduff
- Department of Global Health and Social Medicine, King's College London, London, UK
| | - Narjust Florez
- Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | | | - Nazik Hammad
- Department of Medicine, Division of Hematology-Oncology, St. Michael's Hospital, University of Toronto, Canada; Department of Oncology, Queens University, Kingston, Canada
| | - Shirin Heidari
- GENDRO, Geneva, Switzerland; Gender Centre, Geneva Graduate Institute, Geneva, Switzerland
| | - Ishu Kataria
- Center for Global Noncommunicable Diseases, RTI International, New Delhi, India
| | - Somesh Kumar
- Jhpiego India, Johns Hopkins University Affiliate, Baltimore, MD, USA
| | - Erica Liebermann
- University of Rhode Island College of Nursing, Providence, RI, USA
| | - Jennifer Moodley
- Cancer Research Initiative, Faculty of Health Sciences, School of Public Health and Family Medicine, and SAMRC Gynaecology Cancer Research Centre, University of Cape Town, Cape Town, South Africa
| | - Miriam Mutebi
- Department of Surgery, Aga Khan University, Nairobi, Kenya
| | - Deborah Mukherji
- Faculty of Medicine, American University of Beirut, Beirut, Lebanon; Clemenceau Medical Center Dubai, Dubai, United Arab Emirates
| | - Rachel Nugent
- Center for Global Noncommunicable Diseases, RTI International, Durham, NC, USA; Department of Global Health, University of Washington, Seattle, WA, USA
| | - Winnie K W So
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong Special Administrative Region, China
| | - Enrique Soto-Perez-de-Celis
- Department of Geriatrics, National Institute of Medical Science and Nutrition Salvador Zubiran, Mexico City, Mexico
| | | | - Gavin Allman
- Center for Global Noncommunicable Diseases, RTI International, Durham, NC, USA
| | - Jenna Bhimani
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - María T Bourlon
- Department of Hemato-Oncology, National Institute of Medical Science and Nutrition Salvador Zubiran, Mexico City, Mexico
| | - Michelle A B Eala
- College of Medicine, University of the Philippines, Manila, Philippines; Department of Radiation Oncology, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Yek-Ching Kong
- Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Sonia Menon
- Cochrane Hepato-Biliary Group, Copenhagen Trial Unit, Centre for Clinical Intervention Research, The Capital Region, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
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12
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Flanary JT, Lin J, Shriver CD, Zhu K. Cancer stage at diagnosis: Comparison of insurance status in SEER to the Department of Defense Cancer Registry. Cancer Med 2023; 12:20989-21000. [PMID: 37902129 PMCID: PMC10709748 DOI: 10.1002/cam4.6655] [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: 11/17/2022] [Revised: 08/22/2023] [Accepted: 10/12/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND Military individuals, retirees, and their families have free care or minimal out-of-pocket costs in the US military health system (MHS). In contrast, out-of-pocket costs in the US general population vary substantially. This study compared cancer patients with various insurance types in the general population to those in the MHS in cancer stage at diagnosis. METHODS Patients were identified from the US Department of Defense's (DoD) Automated Central Tumor Registry (ACTUR) and the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program. Tumor stage at diagnosis of breast, prostate, lung, and colon cancers during 2007-2013 was compared between ACTUR and SEER insurance categories of "insured," "insured-no specifics," "any Medicaid," and "uninsured," A multivariable logistic regression analysis estimated the odds ratio (OR) of late stage (Stages III and IV) versus early stage (Stages I and II) cancers comparing SEER insurance status to ACTUR. RESULTS There were 18,440 eligible patients identified from ACTUR and 831,959 patients identified from SEER. For all cancer types, patients in the SEER-insured/no specifics, Medicaid, and uninsured groups had significantly greater likelihood of late stage diagnosis compared to ACTUR patients. The adjusted ORs were greatest among uninsured and Medicaid patients. The SEER-insured group also had a significantly higher odds of advanced stage disease than ACTUR patients for prostate cancer and lung cancer. CONCLUSION Patients in the MHS with universal access to healthcare were diagnosed at an earlier stage than those in the general population. This difference was most evident compared to Medicaid and uninsured groups.
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Affiliation(s)
- James T. Flanary
- Department of SurgeryWalter Reed National Military Medical CenterBethesdaMarylandUSA
| | - Jie Lin
- Department of Surgery, Murtha Cancer Center Research ProgramUniformed Services University of the Health SciencesBethesdaMarylandUSA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.BethesdaMarylandUSA
- Department of Preventive Medicine and BiostatisticsUniformed Services University of the Health SciencesBethesdaMarylandUSA
| | - Craig D. Shriver
- Department of SurgeryWalter Reed National Military Medical CenterBethesdaMarylandUSA
- Department of Surgery, Murtha Cancer Center Research ProgramUniformed Services University of the Health SciencesBethesdaMarylandUSA
| | - Kangmin Zhu
- Department of Surgery, Murtha Cancer Center Research ProgramUniformed Services University of the Health SciencesBethesdaMarylandUSA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.BethesdaMarylandUSA
- Department of Preventive Medicine and BiostatisticsUniformed Services University of the Health SciencesBethesdaMarylandUSA
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13
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Xu X, Chen L, Nunez-Smith M, Clark M, Wright JD. Timeliness of diagnostic evaluation for postmenopausal bleeding: A retrospective cohort study using claims data. PLoS One 2023; 18:e0289692. [PMID: 37682914 PMCID: PMC10490884 DOI: 10.1371/journal.pone.0289692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/24/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Postmenopausal bleeding (PMB) is a common gynecologic condition. Although it can be a sign of uterine cancer, most patients have benign etiology. However, research on quality of diagnostic evaluation for PMB has been limited to cancer patients. To extend this research, we examined the timeliness of diagnostic evaluation for PMB among patients with benign conditions. METHODS Using the 2008-2019 MarketScan Research Databases, we identified 499176 patients (456741 with commercial insurance and 42435 with Medicaid insurance) who presented with PMB but did not have gynecologic cancer. For each patient, we measured the time from their PMB reporting to the date of their first diagnostic procedure. The association between patient characteristics and time to first diagnostic procedure was examined using Cox proportional hazards models (for the overall sample and then stratified by insurance type). RESULTS Overall, 54.3% of patients received a diagnostic procedure on the same day when they reported PMB and 86.6% received a diagnostic procedure within 12 months after reporting PMB. These percentages were 39.4% and 77.1%, respectively, for Medicaid patients, compared to 55.7% and 87.4%, respectively, for commercially insured patients (p<0.001 for both). Medicaid patients had an 18% lower rate of receiving a diagnostic procedure at any given time point than commercially insured patients (adjusted hazard ratio = 0.82, 95% CI: 0.81-0.83). Meanwhile, older age and non-gynecologic comorbidities were associated with a lower rate whereas concomitant gynecologic conditions and recent use of preventive care were associated with a higher rate of receiving diagnostic procedures. Analysis stratified by insurance type identified additional risk factors for delayed diagnostic procedures (e.g., non-metropolitan versus metropolitan location for commercially insured patients and Black versus White race for Medicaid patients). CONCLUSION A sizable proportion of patients did not receive prompt diagnostic evaluation for PMB. Both clinical and non-clinical factors could affect timeliness of evaluation.
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Affiliation(s)
- Xiao Xu
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut, United States of America
- Yale Cancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Ling Chen
- Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America
| | - Marcella Nunez-Smith
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Mitchell Clark
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Jason D. Wright
- Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America
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14
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Zhou K, Song Z, Rostomian N, Dodge JL, Stern MC, Setiawan VW, Terrault NA, Cockburn MG, Liu L. Association of nativity with survival among adults with hepatocellular carcinoma. J Natl Cancer Inst 2023; 115:861-869. [PMID: 37160726 PMCID: PMC10323898 DOI: 10.1093/jnci/djad067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 02/13/2023] [Accepted: 04/13/2023] [Indexed: 05/11/2023] Open
Abstract
INTRODUCTION Immigrants comprise a considerable proportion of those diagnosed with hepatocellular carcinoma (HCC) in the United States. Nativity or birthplace affects incidence and risk factors for HCC, but little is known about its influence on survival after diagnosis. METHODS We identified 51 533 adults with HCC with available birthplace in the California Cancer Registry between 1988 and 2017. HCC cases were categorized as foreign born or US born and stratified by mutually exclusive race and ethnicity groups. Primary outcome was all-cause mortality. Race and ethnicity-specific Cox regression propensity score-weighted models evaluated the relationship between nativity and death as well as region of birth among foreign-born patients. RESULTS A total of 40% of all HCC cases were foreign born, and 92.2%, 45.2%, 9.1%, and 5.8% of Asian/Pacific Islander (API), Hispanic, White, and Black patients were foreign born, respectively. Five-year survival rates were higher in foreign-born patients compared with US-born patients: 12.9% vs 9.6% for White patients, 11.7% vs 9.8% for Hispanic patients, 12.8% vs 8.1% for Black patients, and 16.4% vs 12.4% for API patients. Nativity was associated with survival, with better survival in foreign-born patients: White patients: hazard ratio (HR) = 0.86 (95% confidence interval [CI] = 0.81 to 0.90), Hispanic patients: HR = 0.90 (95% CI = 0.86 to 0.93), Black patients: HR = 0.89 (95% CI = 0.76 to 1.05), and API patients: HR = 0.94 (95% CI = 0.88 to 1.00). Among foreign-born patients, lower mortality was observed in those from Central and South America compared with Mexico for Hispanic patients, East Asia compared with Southeast Asia for API patients, and East Europe and Greater Middle East compared with West/South/North Europe for White patients. CONCLUSION Foreign-born patients with HCC have better survival than US-born patients. Further investigation into the mechanisms of this survival disparity by nativity is needed.
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Affiliation(s)
- Kali Zhou
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Research Center for Liver Diseases, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ziwei Song
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Jennifer L Dodge
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Research Center for Liver Diseases, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mariana C Stern
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - V Wendy Setiawan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Norah A Terrault
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Research Center for Liver Diseases, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Myles G Cockburn
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lihua Liu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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15
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Nierengarten MB. Cancer survivorship increases while disparities persist: Recent cancer survivorship statistics estimate cancer survivor prevalence and, for the first time, include treatment patterns by race and ethnicity for several cancer types: Recent cancer survivorship statistics estimate cancer survivor prevalence and, for the first time, include treatment patterns by race and ethnicity for several cancer types. Cancer 2022; 128:3754. [PMID: 36228160 DOI: 10.1002/cncr.34499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/31/2022] [Accepted: 08/16/2022] [Indexed: 11/09/2022]
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