Impact of prognostic factor distributions on mortality disparities for socioeconomically disadvantaged cancer patients

National Cancer Institute. The Surveillance, Epidemiology, and End Results (SEER) Program. SEER*Stat Databases. Available at: https://seer.cancer.gov/data-software/documentation/seerstat/. Accessed September 08, 2021. Kuo, 2016, How generalizable are the SEER registries to the cancer populations of the USA?, Cancer Causes Control, 27, 1117, 10.1007/s10552-016-0790-x Zahnd, 2018, Utility and generalizability of multistate, population-based cancer registry data for rural cancer surveillance research in the United States, Cancer Epidemiol Biomark Prev, 27, 1252, 10.1158/1055-9965.EPI-17-1087 Lewin, 2000 Chokshi, 2016, Health reform and the changing safety net in the United States, N Engl J Med, 375, 1790, 10.1056/NEJMhpr1608578 Gupta, 2020, Characteristics and Trends of Adult Acute Lymphoblastic Leukemia in a Large, Public Safety-Net Hospital, Clin Lymphoma Myeloma Leuk, 20, e320, 10.1016/j.clml.2019.11.003 Bayraktar, 2013, Comparison of cancer care and outcomes between a public safety-net hospital and a private cancer center, J Health Care Poor Underserved, 24, 1136, 10.1353/hpu.2013.0145 Markossian, 2016, Geographic disparities in pancreatic cancer survival in a southeastern safety-net academic medical center, Aust J Rural Health, 24, 73, 10.1111/ajr.12200 Bitterman, 2015, Comparison of anal cancer outcomes in public and private hospital patients treated at a single radiation oncology center, J Gastrointest Oncol, 6, 524 Lau-Min, 2020, Outcomes among minority patients with metastatic colorectal cancer in a safety-net health care system, Clin Colorectal Cancer, 19, e49, 10.1016/j.clcc.2019.09.002 Zaidi, 2019, Identifying the barriers to gastric cancer care at safety-net hospitals: a novel comparison of a safety-net hospital to a neighboring quaternary referral academic center in the same healthcare system, J Surg Oncol, 119, 64, 10.1002/jso.25299 Perlow, 2018, Assessment of oropharyngeal and laryngeal cancer treatment delay in a private and safety net hospital system, Otolaryngol Head Neck Surg, 159, 484, 10.1177/0194599818768795 Moreno-Betancur, 2018, Measuring the impact of differences in risk factor distributions on cross-population differences in disease occurrence: a causal approach, Int J Epidemiol, 47, 217, 10.1093/ije/dyx194 American College of Surgeons. About cancer program categories. Available at: http://preview.acs.siteworx.com/quality-programs/cancer/coc/accreditation/categories. Accessed July 21, 2020. American College of Surgeons Commission on Cancer. Optimal resources for cancer care (2020 standards), 2020 Accessed-July 15, 2020, Available at: https://www.facs.org/-/media/files/quality-programs/cancer/coc/optimal_resources_for_cancer_care_2020_standards.ashx. United States Census Bureau. County population totals: 2010 - 2019. Available at: https://www.census.gov/data/datasets/time-series/demo/popest/2010s-counties-total.html. Updated 06/22/2020. Accessed March 16, 2021. About America's essential hospitals. Available at: https://essentialhospitals.org/about-americas-essential-hospitals/. Accessed July15, 2020. 2019 National Cancer Institute. Site recode ICD-O-3/WHO 2008 definition. Available at: https://seer.cancer.gov/siterecode/icdo3_dwhoheme/index.html. Accessed May 18, 2020. Duggan, 2016, The Surveillance, Epidemiology, and End Results (SEER) program and pathology: toward strengthening the critical relationship, Am J Surg Pathol, 40, e94, 10.1097/PAS.0000000000000749 Park, 2012, Overview of the Surveillance, Epidemiology, and End Results database: evolution, data variables, and quality assurance, Curr Probl Cancer, 36, 183, 10.1016/j.currproblcancer.2012.03.007 National Cancer Institute. Algorithm for breast subtype variable. Available at: https://seer.cancer.gov/seerstat/databases/ssf/breast-subtype.html. Accessed October 28, 2020. Miettinen, 1972, Standardization of risk ratios, Am J Epidemiol, 96, 383, 10.1093/oxfordjournals.aje.a121470 Parish, 2018, Using entropy balancing to strengthen an observational cohort study design: lessons learned from an evaluation of a complex multi-state federal demonstration, Health Serv Outcomes Res Methodol, 18, 17, 10.1007/s10742-017-0174-z Harvey, 2017, A comparison of entropy balance and probability weighting methods to generalize observational cohorts to a population: a simulation and empirical example, Pharmacoepidemiol Drug Saf, 26, 368, 10.1002/pds.4121 Hainmueller, 2013, Ebalance: a Stata package for entropy balancing, J Stat Softw, 54, 1, 10.18637/jss.v054.i07 Austin, 2015, Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies, Stat Med, 34, 3661, 10.1002/sim.6607 Andersen, 2010, Pseudo-observations in survival analysis, Stat Methods Med Res, 19, 71, 10.1177/0962280209105020 Overgaard, 2015, Regression analysis of censored data using pseudo-observations: an update, Stata J, 15, 809, 10.1177/1536867X1501500313 Andersen, 2017, Causal inference in survival analysis using pseudo-observations, Stat Med, 36, 2669, 10.1002/sim.7297 Easton, 2016, Survival of high-risk pediatric neuroblastoma patients in a developing country, Pediatr Transplant, 20, 825, 10.1111/petr.12731 Percival, 2016, Entropy balancing is doubly robust, J Causal Inference, 5, 1 Althans, 2018, Colorectal Cancer safety net: is it catching patients appropriately?, Dis Colon Rectum, 61, 115, 10.1097/DCR.0000000000000944 Hrebinko, 2021, Patient factors limit colon cancer survival at safety-net hospitals: a national analysis, J Surg Res, 264, 279, 10.1016/j.jss.2021.03.012 Ho, 2013, Late presentation of colorectal cancer in a vulnerable population, Am J Gastroenterol, 108, 466, 10.1038/ajg.2012.256 Chu, 2009, Race/Ethnicity has no effect on outcome for breast cancer patients treated at an academic center with a public hospital, Cancer Epidemiol Biomark Prev, 18, 2157, 10.1158/1055-9965.EPI-09-0232 Lam, 2013, Characteristics of colorectal cancer survival in an urban county hospital, J Gastrointest Cancer, 44, 68, 10.1007/s12029-012-9446-6 Dhar, 2018, Equivalent treatment and survival after resection of pancreatic cancer at safety-net hospitals, J Gastrointest Surg, 22, 98, 10.1007/s11605-017-3549-0 Hoehn, 2018, Hospital safety-net burden does not predict differences in rectal cancer treatment and outcomes, J Surg Res, 221, 204, 10.1016/j.jss.2017.08.047 Sabik, 2013, Differences in mortality for surgical cancer patients by insurance and hospital safety net status, Med Care Res Rev, 70, 84, 10.1177/1077558712458158 Mokdad, 2018, Effect of hospital safety net designation on treatment use and survival in hepatocellular carcinoma, Cancer, 124, 743, 10.1002/cncr.31066 Gamble, 2019, Quality of care and outcomes of patients with gynecologic malignancies treated at safety-net hospitals, JNCI Cancer Spectr, 3, pkz039, 10.1093/jncics/pkz039 Pang, 2016, Studying noncollapsibility of the odds ratio with marginal structural and logistic regression models, Stat Methods Med Res, 25, 1925, 10.1177/0962280213505804 Keiding, 2014, Standardization and control for confounding in observational studies: a historical perspective, Stat Sci, 529 National Cancer Institute. The Surveillance, Epidemiology, and End Results (SEER) Program. SEER Acknowledgment of Treatment Data Limitations. Available at: https://seer.cancer.gov/data-software/documentation/seerstat/nov2020/treatment-limitations-nov2020.html. Accessed September 02, 2021. Hernan, 2004, A structural approach to selection bias, Epidemiology, 15, 615, 10.1097/01.ede.0000135174.63482.43 National Comprehensive Cancer Network Guidelines & Clinical Resources. National Comprehensive Cancer Network. Available at: https://www.nccn.org/professionals/physician_gls/default.aspx. 2020. Accessed August 2020. Woofter, 2021, Oncology medical home: ASCO and COA standards, JCO Oncol Pract, 17, 475, 10.1200/OP.21.00167 Hsieh, 2019, Population-based study on cancer subtypes, guideline-concordant adjuvant therapy, and survival among women with stage I-III breast cancer, J Natl Compr Canc Netw, 17, 676, 10.6004/jnccn.2018.7272 Snyder, 2021, Racial disparities in recurrence and overall survival in patients with locoregional colorectal cancer, J Natl Cancer Inst, 113, 770, 10.1093/jnci/djaa182 Blom, 2020, Disparities in receiving guideline-concordant treatment for lung cancer in the United States, Ann Am Thorac Soc, 17, 186, 10.1513/AnnalsATS.201901-094OC Barnett, 2020, Smoking cessation and survival among people diagnosed with non-metastatic cancer, BMC Cancer, 20, 726, 10.1186/s12885-020-07213-5 Sogaard, 2013, The impact of comorbidity on cancer survival: a review, Clin Epidemiol, 5, 3, 10.2147/CLEP.S47150 Geraci, 2005, Comorbid disease and cancer: the need for more relevant conceptual models in health services research, J Clin Oncol, 23, 7399, 10.1200/JCO.2004.00.9753 Sarfati, 2016, The impact of comorbidity on cancer and its treatment, CA Cancer J Clin, 66, 337, 10.3322/caac.21342 National Cancer Institute Division of Cancer Control & Population Sciences. Overview and highlights. Available at: https://cancercontrol.cancer.gov/bb/docs/NCI-DCCPS-Overview-and-Highlights-2017.pdf. 2017. Accessed August 2020. Malhotra, 2019, Prognostic accuracy of patients, caregivers, and oncologists in advanced cancer, Cancer, 125, 2684, 10.1002/cncr.32127 Kattan, 2016, American Joint Committee on Cancer acceptance criteria for inclusion of risk models for individualized prognosis in the practice of precision medicine, CA Cancer J Clin, 66, 370, 10.3322/caac.21339 Clark, 2020 Martin, 2016, Recommendations for cancer epidemiologic research in understudied populations and implications for future needs, Cancer Epidemiol Biomark Prev, 25, 573, 10.1158/1055-9965.EPI-15-1297 Mapes, 2020, Diversity and inclusion for the All of Us research program: a scoping review, PLoS One, 15, 10.1371/journal.pone.0234962