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Hari A, Chang J, Villanueva C, Ziogas A, Vieira V, Bristow RE. Short-term survival analysis of a risk-adjusted model for ovarian cancer care. Gynecol Oncol 2024; 184:123-131. [PMID: 38309029 DOI: 10.1016/j.ygyno.2024.01.005] [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: 06/29/2023] [Revised: 12/31/2023] [Accepted: 01/05/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVE To quantify the impact on short-term ovarian cancer survival associated with treatment at high-performing hospitals using the observed-to-expected ratio (O/E) for adherence to ovarian cancer treatment guidelines as a risk-adjusted measure of hospital quality care. METHODS This was a retrospective population-based study of stage I-IV invasive epithelial ovarian cancer reported to California Cancer Registry 1996-2017. A fit logistic regression model, risk-adjusted for patient and disease characteristics, was used to calculate O/E for each hospital stratified by hospital annual case volume. Cox proportional hazards model was used for survival analyses at 3, 6, 12, 24 months and stratified according to sociodemographic characteristics. RESULTS The study population included 35,725 subjects treated at 443 hospitals: Low-O/E - 26.4% of cases; Intermediate-O/E - 55.5% of cases; and High-O/E - 18.1% of cases. Overall median survival by hospital category was: High-O/E = 72.5 months (95% CI = 68.6-78.6 months), Intermediate-O/E = 68.6 months (95% CI = 65.9-71.6 months), Low-O/E = 47.0 months (95% CI = 44.2-49.2 months). Initial treatment at a High-O/E hospital (HR = 1.00) was a statistically significant and independent predictor of improved short-term survival compared to Low-O/E hospitals at 3 months (HR = 1.46, 95% CI = 1.29-1.65), 6 months (HR = 1.35, 95% CI = 1.22-1.50), 12 months (HR = 1.27, 95% CI = 1.17-1.38), and 24 months (HR = 1.19, 95% CI = 1.11-1.27). Significant and independent associations between improved sort-term survival and High/O/E care were observed for Whites, Hispanics, Asian/Pacific Islanders (A/PI), across SES strata, and among all payer categories. CONCLUSION Ovarian cancer care at a High-O/E hospital is an independent predictor of improved outcome and the survival advantage is disproportionately weighted toward the short-term time horizon following diagnosis.
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Affiliation(s)
- Anjali Hari
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of California, Irvine School of Medicine, Orange, CA, USA; Chao Family Comprehensive Cancer Center, Orange, CA, USA.
| | - Jenny Chang
- Department of Medicine, University of California, Irvine School of Medicine, Irvine, CA, USA
| | - Carolina Villanueva
- Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, Irvine, CA, USA
| | - Argyrios Ziogas
- Department of Medicine, University of California, Irvine School of Medicine, Irvine, CA, USA
| | - Veronica Vieira
- Chao Family Comprehensive Cancer Center, Orange, CA, USA; Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, Irvine, CA, USA
| | - Robert E Bristow
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of California, Irvine School of Medicine, Orange, CA, USA; Chao Family Comprehensive Cancer Center, Orange, CA, USA
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Gomez SL, Chirikova E, McGuire V, Collin LJ, Dempsey L, Inamdar PP, Lawson-Michod K, Peters ES, Kushi LH, Kavecansky J, Shariff-Marco S, Peres LC, Terry P, Bandera EV, Schildkraut JM, Doherty JA, Lawson A. Role of neighborhood context in ovarian cancer survival disparities: current research and future directions. Am J Obstet Gynecol 2023; 229:366-376.e8. [PMID: 37116824 PMCID: PMC10538437 DOI: 10.1016/j.ajog.2023.04.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 04/01/2023] [Accepted: 04/20/2023] [Indexed: 04/30/2023]
Abstract
Ovarian cancer is the fifth leading cause of cancer-associated mortality among US women with survival disparities seen across race, ethnicity, and socioeconomic status, even after accounting for histology, stage, treatment, and other clinical factors. Neighborhood context can play an important role in ovarian cancer survival, and, to the extent to which minority racial and ethnic groups and populations of lower socioeconomic status are more likely to be segregated into neighborhoods with lower quality social, built, and physical environment, these contextual factors may be a critical component of ovarian cancer survival disparities. Understanding factors associated with ovarian cancer outcome disparities will allow clinicians to identify patients at risk for worse outcomes and point to measures, such as social support programs or transportation aid, that can help to ameliorate such disparities. However, research on the impact of neighborhood contextual factors in ovarian cancer survival and in disparities in ovarian cancer survival is limited. This commentary focuses on the following neighborhood contextual domains: structural and institutional context, social context, physical context represented by environmental exposures, built environment, rurality, and healthcare access. The research conducted to date is presented and clinical implications and recommendations for future interventions and studies to address disparities in ovarian cancer outcomes are proposed.
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Affiliation(s)
- Scarlett L Gomez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA.
| | - Ekaterina Chirikova
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Valerie McGuire
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Lindsay J Collin
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Lauren Dempsey
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Pushkar P Inamdar
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Katherine Lawson-Michod
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Edward S Peters
- Department of Epidemiology, University of Nebraska Medical Center College of Public Health, Omaha, NE
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Juraj Kavecansky
- Department of Hematology and Oncology, Kaiser Permanente Northern California, Antioch, CA
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA
| | - Lauren C Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Paul Terry
- Department of Medicine, University of Tennessee, Knoxville, TN
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Jennifer A Doherty
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Andrew Lawson
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC; Usher Institute, School of Medicine, University of Edinburgh, Edinburgh, United Kingdom
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Rizvi Z, Sharma KC, Kunder V, Abreu A. Barriers of Care to Ovarian Cancer: A Scoping Review. Cureus 2023; 15:e40309. [PMID: 37448421 PMCID: PMC10337512 DOI: 10.7759/cureus.40309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/11/2023] [Indexed: 07/15/2023] Open
Abstract
Ovarian cancer is a leading cause of female cancer-related deaths, but patients continue to be diagnosed late. This subjects them to disease progression and possible death due to lack of early detection, despite earlier stage detection improving survival rates by significant percentages. Early detection and access to care are closely related. However, many barriers to high-quality care exist for patients and the majority of patients do not receive recommended care according to ovarian cancer treatment guidelines. In order to improve care for ovarian cancer patients and decrease healthcare disparities in accessing equitable care, it is important to acknowledge the current gaps in patient knowledge, healthcare availability, and physician practice. This scoping review explores the available evidence on ovarian cancer to identify these barriers to care in the effective treatment of ovarian cancer. Using both inclusion and exclusion criteria, results from the initial literature search were screened by the authors. After quality assessment and screening for relevance, 10 articles were included in the final review. The following themes emerged as barriers to care: hospital and physician-patient volumes, geographic distance from care facilities, patient and physician education, and demographic factors. Many patients were found to not receive guideline adherent care due to various barriers to care, whereas guideline adherent care was independently associated with factors such as patient proximity to a high-volume hospital, White race, and higher socioeconomic status. Several areas were identified as potential for increased patient and physician education, including treatment complications and patient resources. The evidence found that certain socioeconomic groups and racial minorities are often at higher risk for guideline non-adherent care. Additionally, the evidence showed a further need for physicians and healthcare providers to be provided with resources for post-cancer treatment, follow-up, and patient education. The findings of this review will provide health experts and patients with better insight into what barriers may exist so that guideline-adherent care can be better advocated for and met.
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Affiliation(s)
- Zehra Rizvi
- Osteopathic Medicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA
| | - Kiran C Sharma
- Osteopathic Medicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA
| | - Viktor Kunder
- Osteopathic Medicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA
| | - Adrian Abreu
- Obstetrics and Gynecology, Broward Health Medical Center, Fort Lauderdale, USA
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Akinyemiju T, Chen Q, Wilson LE, Previs RA, Joshi A, Liang M, Pisu M, Ward KC, Berchuck A, Schymura MJ, Huang B. Healthcare Access Domains Mediate Racial Disparities in Ovarian Cancer Treatment Quality in a US Patient Cohort: A Structural Equation Modelling Analysis. Cancer Epidemiol Biomarkers Prev 2023; 32:74-81. [PMID: 36306380 PMCID: PMC9839516 DOI: 10.1158/1055-9965.epi-22-0650] [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: 06/10/2022] [Revised: 09/07/2022] [Accepted: 10/25/2022] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Ovarian cancer survival disparities have persisted for decades, driven by lack of access to quality treatment. We conducted structural equation modeling (SEM) to define latent variables representing three healthcare access (HCA) domains: affordability, availability, and accessibility, and evaluated the direct and indirect associations between race and ovarian cancer treatment mediated through the HCA domains. METHODS Patients with ovarian cancer ages 65 years or older diagnosed between 2008 and 2015 were identified from the SEER-Medicare dataset. Generalized SEM was used to estimate latent variables representing HCA domains by race in relation to two measures of ovarian cancer-treatment quality: gynecologic oncology consultation and receipt of any ovarian cancer surgery. RESULTS A total of 8,987 patients with ovarian cancer were included in the analysis; 7% were Black. The affordability [Ω: 0.876; average variance extracted (AVE) = 0.689], availability (Ω: 0.848; AVE = 0.636), and accessibility (Ω: 0.798; AVE = 0.634) latent variables showed high composite reliability in SEM analysis. Black patients had lower affordability and availability, but higher accessibility compared with non-Black patients. In fully adjusted models, there was no direct effect observed between Black race to receipt of surgery [β: -0.044; 95% confidence interval (CI), -0.264 to 0.149]; however, there was an inverse total effect (β: -0.243; 95% CI, -0.079 to -0.011) that was driven by HCA affordability (β: -0.025; 95% CI, -0.036 to -0.013), as well as pathways that included availability and consultation with a gynecologist oncologist. CONCLUSIONS Racial differences in ovarian cancer treatment appear to be driven by latent variables representing healthcare affordability, availability, and accessibility. IMPACT Strategies to mitigate disparities in multiple HCA domains will be transformative in advancing equity in cancer treatment.
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Affiliation(s)
- Tomi Akinyemiju
- Department of Population Health Sciences, Duke University School of Medicine, Durham NC
- Duke Cancer Institute, Duke University School of Medicine, Durham NC
| | - Quan Chen
- Division of Cancer Biostatistics and Kentucky Cancer Registry, Univ of Kentucky, Lexington KY
| | - Lauren E. Wilson
- Department of Population Health Sciences, Duke University School of Medicine, Durham NC
| | - Rebecca A. Previs
- Division of Gynecologic Oncology, Duke Cancer Institute, Duke University School of Medicine, Durham NC
| | - Ashwini Joshi
- Department of Population Health Sciences, Duke University School of Medicine, Durham NC
| | - Margaret Liang
- Division of Gynecologic Oncology, Department of Obstetrics & Gynecology, University of Alabama at Birmingham, Birmingham, AL
| | - Maria Pisu
- Division of Preventive Medicine and O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL
| | - Kevin C. Ward
- Georgia Cancer Registry, Emory University, Atlanta GA
| | - Andrew Berchuck
- Division of Gynecologic Oncology, Duke Cancer Institute, Duke University School of Medicine, Durham NC
| | - Maria J. Schymura
- New York State Cancer Registry, New York State Department of Health, Albany NY
| | - Bin Huang
- Division of Cancer Biostatistics and Kentucky Cancer Registry, Univ of Kentucky, Lexington KY
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Palmqvist C, Persson J, Albertsson P, Dahm-Kähler P, Johansson M. Societal costs of ovarian cancer in a population-based cohort – a cost of illness analysis. Acta Oncol 2022; 61:1369-1376. [DOI: 10.1080/0284186x.2022.2140015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Charlotte Palmqvist
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Gynecology and Obstetrics, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Josefine Persson
- Health Economics and Policy, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Per Albertsson
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Oncology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Pernilla Dahm-Kähler
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Gynecology and Obstetrics, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Mia Johansson
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Oncology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
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Rural residence is related to shorter survival in epithelial ovarian cancer patients. Gynecol Oncol 2021; 163:22-28. [PMID: 34400004 DOI: 10.1016/j.ygyno.2021.07.035] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/21/2021] [Accepted: 07/22/2021] [Indexed: 11/20/2022]
Abstract
OBJECTIVE Rural residence has been related to health disparities and greater mortality risk in cancer patients, including gynecologic cancer patients. Lower survival rates for rural cancer survivors have been attributed to limited access to specialized healthcare, including surgery. Here, we examined whether a rural/urban survival gap existed in ovarian cancer patients receiving surgery at tertiary-care facilities, and potential causes for this gap, including educational attainment. METHODS Rural and urban patients with high grade invasive ovarian cancer (n = 342) seeking treatment at two midwestern tertiary-care university hospitals were recruited pre-surgery and followed until death or censoring date. Rural/urban residence was categorized using the USDA Rural-Urban Continuum Codes. Stratified Cox proportional hazards regression analyses, with clinical site as strata, adjusting for clinical and demographic covariates, were used to examine the effect of rurality on survival. RESULTS Despite specialized surgical care, rural cancer survivors showed a higher likelihood of death compared to their urban counterparts, HR = 1.39 (95% CI: 1.04, 1.85) p = 0.026, adjusted for covariates. A rurality by education interaction was observed (p = 0.027), indicating significantly poorer survival in rural vs. urban patients among those with trade school/some college education, adjusted HR = 2.49 (95% CI: 1.44, 4.30), p = 0.001; there was no rurality survival disparity for the other 2 levels of education. CONCLUSIONS Differences in ovarian cancer survival are impacted by rurality, which is moderated by educational attainment even in patients receiving initial care in tertiary settings. Clinicians should be aware of rurality and education as potential risk factors for adverse outcomes and develop approaches to address these possible risks.
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Abstract
PURPOSE OF REVIEW To summarize the most recent evidence on gynecologic cancer disparities and to describe studies investigating the social determinants of health and receipt of evidence-based care and potential interventions to address inequities in care. RECENT FINDINGS Significant disparities in disease-specific survival by race/ethnicity, socioeconomic status, and payer status have persisted in women with gynecologic cancers. Compared with white women, black women have an increased likelihood of disease-specific mortality for endometrial cancer and are less likely to receive guideline-adherent care for ovarian cancer. The Covid-19 pandemic has brought significant attention to the structural barriers that contribute to persistent health disparities and how community-based partnerships with a focus on policy interventions are needed for equitable gynecologic cancer outcomes. SUMMARY In this review, we discuss structural barriers contributing to racial inequities, the role of Medicaid payer status and receipt of quality cancer care, gender, and racial workforce diversity, and community-based partnerships to create evidence-based interventions to address disparities.
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Virani S, Baiocchi G, Bowtell D, Cabasag CJ, Cho KR, Fortner RT, Fujiwara K, Kim JW, Köbel M, Kurtz JE, Levine DA, Menon U, Norquist BM, Pharoah PDP, Sood AK, Tworoger ST, Wentzensen N, Chanock SJ, Brennan P, Trabert B. Joint IARC/NCI International Cancer Seminar Series Report: expert consensus on future directions for ovarian carcinoma research. Carcinogenesis 2021; 42:785-793. [PMID: 34037709 PMCID: PMC8427725 DOI: 10.1093/carcin/bgab043] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 05/14/2021] [Accepted: 05/24/2021] [Indexed: 12/26/2022] Open
Abstract
Recently, ovarian cancer research has evolved considerably because of the emerging recognition that rather than a single disease, ovarian carcinomas comprise several different histotypes that vary by etiologic origin, risk factors, molecular profiles, therapeutic approaches and clinical outcome. Despite significant progress in our understanding of the etiologic heterogeneity of ovarian cancer, as well as important clinical advances, it remains the eighth most frequently diagnosed cancer in women worldwide and the most fatal gynecologic cancer. The International Agency for Research on Cancer and the United States National Cancer Institute jointly convened an expert panel on ovarian carcinoma to develop consensus research priorities based on evolving scientific discoveries. Expertise ranged from etiology, prevention, early detection, pathology, model systems, molecular characterization and treatment/clinical management. This report summarizes the current state of knowledge and highlights expert consensus on future directions to continue advancing etiologic, epidemiologic and prognostic research on ovarian carcinoma.
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Affiliation(s)
- Shama Virani
- International Agency for Research on Cancer (IARC/WHO), Genomic Epidemiology Branch, Lyon, France
| | - Glauco Baiocchi
- Department of Gynecology Oncology, A.C. Camargo Cancer Center, São Paulo, SP, Brazil
| | - David Bowtell
- Women’s Cancer Program, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Citadel J Cabasag
- Cancer Surveillance Branch, International Agency for Research on Cancer, Lyon, France
| | - Kathleen R Cho
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Keiichi Fujiwara
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Tokyo, Japan
| | - Jae-Weon Kim
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Martin Köbel
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Jean-Emmanuel Kurtz
- Department of Medical and Surgical Oncology and Hematology, Strasbourg Cancer Institute (ICANS-Europe), Strasbourg, France
| | - Douglas A Levine
- Gynecologic Oncology, Laura and Isaac Pearlmutter Cancer Center, New York University Langone Medical Center, New York, NY, USA
| | - Usha Menon
- MRC CTU at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Barbara M Norquist
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
| | - Paul D P Pharoah
- Department of Oncology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Anil K Sood
- Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shelley T Tworoger
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC/WHO), Genomic Epidemiology Branch, Lyon, France
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD, USA
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Salas M, Henderson M, Sundararajan M, Tu N, Islam Z, Ebeid M, Horne L. Use of comorbidity indices in patients with any cancer, breast cancer, and human epidermal growth factor receptor-2-positive breast cancer: A systematic review. PLoS One 2021; 16:e0252925. [PMID: 34143813 PMCID: PMC8213062 DOI: 10.1371/journal.pone.0252925] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 05/25/2021] [Indexed: 11/18/2022] Open
Abstract
Objective To identify comorbidity indices that have been validated in cancer populations, with a focus on breast cancer and human epidermal growth factor receptor-2-positive (HER2+) breast cancer. Study design and setting A systematic review of the literature on the use of comorbidity indices in any cancer, breast cancer, and HER2+ breast cancer using Ovid and PubMed. Results The final data set comprised 252 articles (252 any cancer, 39 breast cancer, 7 HER2+ breast cancer). The most common cancers assessed were hematologic and breast, and the most common comorbidity index used was the Charlson Comorbidity Index (CCI) or a CCI derivative. Most validity testing of comorbidity indices used predictive validity based on survival outcomes. Hazard ratios for survival outcomes generally found that a higher comorbidity burden (measured by CCI) increased mortality risk in patients with breast cancer. All breast-cancer studies that validated comorbidity indices used CCI-based indices. Only one article validated a comorbidity index in HER2+ breast cancer. Conclusion CCI-based indices are the most appropriate indices to use in the general breast-cancer population. There is insufficient validation of any comorbidity index in HER2+ breast cancer to provide a recommendation, indicating a future need to validate these instruments in this population.
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Affiliation(s)
- Maribel Salas
- Global Epidemiology, Clinical Safety and Pharmacovigilance, Daiichi Sankyo Inc., Basking Ridge, NJ, United States of America
- Center for Clinical Epidemiology and Biostatistics (CCEB)/Center for Pharmacoepidemiology Research and Training (CPeRT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States of America
- * E-mail:
| | - Mackenzie Henderson
- Global Epidemiology, Clinical Safety and Pharmacovigilance, Daiichi Sankyo Inc., Basking Ridge, NJ, United States of America
- Rutgers Institute for Pharmaceutical Industry Fellowships, Rutgers University, New Brunswick, NJ, United States of America
| | - Meera Sundararajan
- Global Epidemiology, Clinical Safety and Pharmacovigilance, Daiichi Sankyo Inc., Basking Ridge, NJ, United States of America
| | - Nora Tu
- Global Epidemiology, Clinical Safety and Pharmacovigilance, Daiichi Sankyo Inc., Basking Ridge, NJ, United States of America
| | - Zahidul Islam
- Global Epidemiology, Clinical Safety and Pharmacovigilance, Daiichi Sankyo Inc., Basking Ridge, NJ, United States of America
| | - Mina Ebeid
- Clinical Safety and Pharmacovigilance, Daiichi Sankyo Inc., Basking Ridge, NJ, United States of America
| | - Laura Horne
- Global Epidemiology, Clinical Safety and Pharmacovigilance, Daiichi Sankyo Inc., Basking Ridge, NJ, United States of America
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Villanueva C, Chang J, Ziogas A, Bristow RE, Vieira VM. Ovarian cancer in California: Guideline adherence, survival, and the impact of geographic location, 1996-2014. Cancer Epidemiol 2020; 69:101825. [PMID: 33022472 DOI: 10.1016/j.canep.2020.101825] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 09/12/2020] [Accepted: 09/13/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Evidence suggests that geographic location may independently contribute to ovarian cancer survival. We aimed to investigate how the association between residential location and ovarian cancer-specific survival in California varies by race/ethnicity and socioeconomic status. METHODS Additive Cox proportional hazard models were used to predict hazard ratios (HRs) and 95% confidence intervals (CI) for the association between geographic location throughout California and survival among 29,844 women diagnosed with epithelial ovarian cancer between 1996 and 2014. We conducted permutation tests to determine a global P-value for significance of location. Adjusted analyses considered distance traveled for care, distance to closest high-quality-of-care hospital, and receipt of National Comprehensive Cancer Network guideline care. Models were also stratified by stage, race/ethnicity, and socioeconomic status. RESULTS Location was significant in unadjusted models (P = 0.009 among all stages) but not in adjusted models (P = 0.20). HRs ranged from 0.81 (95% CI: 0.70, 0.93) in Southern Central Valley to 1.41 (95% CI: 1.15, 1.73) in Northern California but were attenuated after adjustment (maximum HR = 1.17, 95% CI: 1.08, 1.27). Better survival was generally observed for patients traveling longer distances for care. Associations between survival and proximity to closest high-quality-of-care hospitals were null except for women of lowest socioeconomic status living furthest away (HR = 1.22, 95% CI: 1.03, 1.43). CONCLUSIONS Overall, geographic variations observed in ovarian cancer-specific survival were due to important predictors such as receiving guideline-adherent care. Improving access to expert care and ensuring receipt of guideline-adherent treatment should be priorities in optimizing ovarian cancer survival.
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Affiliation(s)
- Carolina Villanueva
- Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Anteater Instruction & Research Building, 653 East Peltason Drive, Irvine, CA, 92697, USA.
| | - Jenny Chang
- Department of Medicine, School of Medicine, University of California, 205 Irvine Hall, Irvine, CA, 92697, USA.
| | - Argyrios Ziogas
- Department of Medicine, School of Medicine, University of California, 205 Irvine Hall, Irvine, CA, 92697, USA.
| | - Robert E Bristow
- Chao Family Comprehensive Cancer Center, Orange, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of California, Irvine School of Medicine, 333 City Boulevard West, Ste 1400, Orange, CA, 92868, USA.
| | - Verónica M Vieira
- Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Anteater Instruction & Research Building, 653 East Peltason Drive, Irvine, CA, 92697, USA; Chao Family Comprehensive Cancer Center, Orange, CA, USA.
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