{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T01:52:12Z","timestamp":1792806732252,"version":"4.5.0"},"reference-count":41,"publisher":"American Medical Association (AMA)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi240351-4\">\n                    <jats:title>Importance<\/jats:title>\n                    <jats:p>The National Cancer Institute comprehensive cancer centers (CCCs) lack spatial and temporal evaluation of their self-designated catchment areas.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi240351-5\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To identify disparities in cancer stage at diagnosis within and outside a CCC\u2019s catchment area across a 10-year period using spatial and statistical analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi240351-6\">\n                    <jats:title>Design, Setting, and Participants<\/jats:title>\n                    <jats:p>This cross-sectional, population-based study conducted between 2010 and 2019 utilized cancer registry data for the Johns Hopkins Sidney Kimmel CCC (SKCCC). Eligible participants included patients with cancer in the contiguous US who received treatment for cancer, a diagnosis of cancer, or both at SKCCC. Patients were geocoded to zip code tabulation areas (ZCTAs). Individual-level variables included sociodemographic characteristics, smoking and alcohol use, treatment type, cancer site, and insurance type. Data analysis was performed between March and July 2023.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi240351-7\">\n                    <jats:title>Exposures<\/jats:title>\n                    <jats:p>Distance between SKCCC and ZCTAs were computed to generate a catchment area of the closest 75% of patients and outer zones in 5% increments for comparison.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi240351-8\">\n                    <jats:title>Main Outcomes and Measures<\/jats:title>\n                    <jats:p>The primary outcome was cancer stage at diagnosis, defined as early-stage, late-stage, or unknown stage. Multinomial logistic regression was used to determine associations of catchment area with stage at diagnosis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi240351-9\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>This study had a total of 94\u202f007 participants (46\u202f009 male [48.94%] and 47\u202f998 female [51.06%]; 30\u202f195 aged 22-45 years [32.12%]; 4209 Asian [4.48%]; 2408 Hispanic [2.56%]; 16\u202f004 non-Hispanic Black [17.02%]; 69\u202f052 non-Hispanic White [73.45%]; and 2334 with other or unknown race or ethnicity [2.48%]), including 47\u202f245 patients (50.26%) who received a diagnosis of early-stage cancer, 19\u202f491 (20.73%) who received a diagnosis of late-stage cancer , and 27\u202f271 (29.01%) with unknown stage. Living outside the main catchment area was associated with higher odds of late-stage cancers for those who received only a diagnosis (odds ratio [OR], 1.50; 95% CI, 1.10-2.05) or only treatment (OR, 1.44; 95% CI, 1.28-1.61) at SKCCC. Non-Hispanic Black patients (OR, 1.16; 95% CI, 1.10-1.23) and those with Medicaid (OR, 1.65; 95% CI, 1.46-1.86) and no insurance at time of treatment (OR, 2.12; 95% CI, 1.79-2.51) also had higher odds of receiving a late-stage cancer diagnosis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi240351-10\">\n                    <jats:title>Conclusions and Relevance<\/jats:title>\n                    <jats:p>In this cross-sectional study of CCC data from 2010 to 2019, patients residing outside the main catchment area, non-Hispanic Black patients, and patients with Medicaid or no insurance had higher odds of late-stage diagnoses. These findings suggest that disadvantaged populations and those living outside of the main catchment area of a CCC may face barriers to screening and treatment. Care-sharing agreements among CCCs could address these issues.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2024.9474","type":"journal-article","created":{"date-parts":[[2024,5,2]],"date-time":"2024-05-02T11:33:23Z","timestamp":1714649603000},"page":"e249474","source":"Crossref","is-referenced-by-count":20,"title":["Disparities in Cancer Stage Outcomes by Catchment Areas for a Comprehensive Cancer Center"],"prefix":"10.1001","volume":"7","author":[{"given":"Michael R.","family":"Desjardins","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Norma F.","family":"Kanarek","sequence":"additional","affiliation":[{"name":"Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland"},{"name":"Department of Oncology, Johns Hopkins School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William G.","family":"Nelson","sequence":"additional","affiliation":[{"name":"Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland"},{"name":"Department of Oncology, Johns Hopkins School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jamie","family":"Bachman","sequence":"additional","affiliation":[{"name":"Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland"},{"name":"Department of Oncology, Johns Hopkins School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frank C.","family":"Curriero","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","published-online":{"date-parts":[[2024,5,2]]},"reference":[{"issue":"5","key":"zoi240351r4","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1158\/1055-9965.EPI-21-1230","article-title":"A national map of NCI-designated cancer center catchment areas on the 50th anniversary of the cancer centers program.","volume":"31","author":"DelNero","year":"2022","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"21","key":"zoi240351r5","doi-asserted-by":"publisher","first-page":"3885","DOI":"10.1002\/cncr.v121.21","article-title":"Impact of care at comprehensive cancer centers on outcome: results from a population-based study.","volume":"121","author":"Wolfson","year":"2015","journal-title":"Cancer"},{"issue":"5","key":"zoi240351r6","doi-asserted-by":"publisher","first-page":"940","DOI":"10.1016\/j.jamcollsurg.2015.01.056","article-title":"Impact of National Cancer Institute comprehensive cancer centers on ovarian cancer treatment and survival.","volume":"220","author":"Bristow","year":"2015","journal-title":"J Am Coll Surg"},{"issue":"3","key":"zoi240351r7","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1016\/j.ygyno.2016.10.004","article-title":"Distance from a comprehensive cancer center: a proxy for poor cervical cancer outcomes?","volume":"143","author":"Barrington","year":"2016","journal-title":"Gynecol Oncol"},{"issue":"19","key":"zoi240351r8","doi-asserted-by":"publisher","first-page":"3640","DOI":"10.1002\/cncr.v127.19","article-title":"Associations between geographic residence and US adolescent and young adult cancer stage and survival.","volume":"127","author":"Johnson","year":"2021","journal-title":"Cancer"},{"issue":"10","key":"zoi240351r9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0272076","article-title":"The impact of patient travel time on disparities in treatment for early stage lung cancer in California.","volume":"17","author":"Obrochta","year":"2022","journal-title":"PLoS One"},{"issue":"2","key":"zoi240351r10","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0193047","article-title":"Insurance status and cancer treatment mediate the association between race\/ethnicity and cervical cancer survival.","volume":"13","author":"Markt","year":"2018","journal-title":"PLoS One"},{"issue":"3","key":"zoi240351r11","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1002\/cam4.2013.2.issue-3","article-title":"Cancer survival disparities by health insurance status.","volume":"2","author":"Niu","year":"2013","journal-title":"Cancer Med"},{"issue":"3","key":"zoi240351r12","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1001\/jamaoncol.2019.5672","article-title":"Association of insurance status and racial disparities with the detection of early-stage breast cancer.","volume":"6","author":"Ko","year":"2020","journal-title":"JAMA Oncol"},{"issue":"50","key":"zoi240351r13","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000009125","article-title":"Disparities in quality of cancer care: the role of health insurance and population demographics.","volume":"96","author":"Parikh-Patel","year":"2017","journal-title":"Medicine (Baltimore)"},{"issue":"12","key":"zoi240351r14","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/s10916-017-0850-0","article-title":"Disparities in geographic accessibility of national cancer institute cancer centers in the United States.","volume":"41","author":"Xu","year":"2017","journal-title":"J Med Syst"},{"issue":"1","key":"zoi240351r15","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1093\/epirev\/mxx001","article-title":"The population burden of cancer: research driven by the catchment area of a cancer center.","volume":"39","author":"Tai","year":"2017","journal-title":"Epidemiol Rev"},{"issue":"3","key":"zoi240351r16","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1158\/1078-0432.CCR-09-1875","article-title":"Spatial analyses identify the geographic source of patients at a National Cancer Institute comprehensive cancer center.","volume":"16","author":"Su","year":"2010","journal-title":"Clin Cancer Res"},{"key":"zoi240351r17","doi-asserted-by":"publisher","first-page":"71","DOI":"10.4137\/CIN.S17297","article-title":"Catchment area analysis using bayesian regression modeling.","volume":"14","author":"Wang","year":"2015","journal-title":"Cancer Inform"},{"issue":"0 7","key":"zoi240351r18","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1002\/cncr.v120.S7","article-title":"Five National Cancer Institute-designated cancer centers\u2019 data collection on racial\/ethnic minority participation in therapeutic trials: a current view and opportunities for improvement.","volume":"120","author":"Hawk","year":"2014","journal-title":"Cancer"},{"issue":"1","key":"zoi240351r19","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/s10900-008-9123-7","article-title":"Cancer outcomes research in a rural area: a multi-institution partnership model.","volume":"34","author":"Goodman","year":"2009","journal-title":"J Community Health"},{"issue":"4","key":"zoi240351r20","doi-asserted-by":"publisher","first-page":"789","DOI":"10.1016\/j.healthplace.2012.04.002","article-title":"Variable catchment sizes for the two-step floating catchment area (2SFCA) method.","volume":"18","author":"Luo","year":"2012","journal-title":"Health Place"},{"issue":"9","key":"zoi240351r21","doi-asserted-by":"publisher","first-page":"1739","DOI":"10.1080\/13658816.2019.1591415","article-title":"A comparative analysis of accessibility measures by the two-step floating catchment area (2SFCA) method.","volume":"33","author":"Chen","year":"2019","journal-title":"Int J Geogr Inf Sci"},{"issue":"3","key":"zoi240351r22","doi-asserted-by":"publisher","first-page":"628","DOI":"10.1080\/13658816.2020.1811868","article-title":"From 2SFCA to i2SFCA: integration, derivation and validation.","volume":"35","author":"Wang","year":"2021","journal-title":"Int J Geogr Inf Sci"},{"issue":"4","key":"zoi240351r25","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1158\/1055-9965.EPI-22-0958","article-title":"Current approaches to serving catchment areas in cancer centers: insights from the big ten cancer research consortium population science working group.","volume":"32","author":"Manne","year":"2023","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"1","key":"zoi240351r26","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1001\/jamaoncol.2021.4323","article-title":"Understanding the implications of Medicaid expansion for cancer care in the US: a review.","volume":"8","author":"Ermer","year":"2022","journal-title":"JAMA Oncol"},{"issue":"7","key":"zoi240351r27","doi-asserted-by":"publisher","first-page":"6362","DOI":"10.3390\/curroncol30070469","article-title":"The impact of Medicaid expansion on patients with cancer in the United States: a review.","volume":"30","author":"Hotca","year":"2023","journal-title":"Curr Oncol"},{"issue":"1","key":"zoi240351r28","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1200\/JCO.2017.74.2049","article-title":"Racial and ethnic disparities in cancer survival: the contribution of tumor, sociodemographic, institutional, and neighborhood characteristics.","volume":"36","author":"Ellis","year":"2018","journal-title":"J Clin Oncol"},{"issue":"2","key":"zoi240351r29","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1002\/cam4.2018.7.issue-2","article-title":"Disparities in cancer outcomes across age, sex, and race\/ethnicity among patients with pancreatic cancer.","volume":"7","author":"Nipp","year":"2018","journal-title":"Cancer Med"},{"issue":"12","key":"zoi240351r30","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2020.27415","article-title":"Changes in racial disparities in mortality after cancer surgery in the US, 2007-2016.","volume":"3","author":"Lam","year":"2020","journal-title":"JAMA Netw Open"},{"issue":"1","key":"zoi240351r31","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1186\/s12885-020-06923-0","article-title":"Black patients referred to a lung cancer screening program experience lower rates of screening and longer time to follow-up.","volume":"20","author":"Lake","year":"2020","journal-title":"BMC Cancer"},{"issue":"8","key":"zoi240351r32","doi-asserted-by":"publisher","first-page":"1796","DOI":"10.1016\/j.cgh.2019.09.008","article-title":"Disparities in colorectal cancer screening in the United States before and after implementation of the Affordable Care Act.","volume":"18","author":"May","year":"2020","journal-title":"Clin Gastroenterol Hepatol"},{"issue":"4","key":"zoi240351r33","doi-asserted-by":"publisher","first-page":"299","DOI":"10.3322\/caac.v71.4","article-title":"Racial and socioeconomic disparities in lung cancer screening in the United States: a systematic review.","volume":"71","author":"Sosa","year":"2021","journal-title":"CA Cancer J Clin"},{"issue":"5","key":"zoi240351r34","doi-asserted-by":"publisher","first-page":"861","DOI":"10.2105\/AJPH.2009.176651","article-title":"Disparities in breast cancer survival among Asian women by ethnicity and immigrant status: a population-based study.","volume":"100","author":"Gomez","year":"2010","journal-title":"Am J Public Health"},{"issue":"4","key":"zoi240351r35","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1007\/s10120-016-0667-4","article-title":"Examining the gastric cancer survival gap between Asians and Whites in the United States.","volume":"20","author":"Jin","year":"2017","journal-title":"Gastric Cancer"},{"key":"zoi240351r36","doi-asserted-by":"publisher","DOI":"10.5888\/pcd16.180221","article-title":"Higher breast cancer risk among immigrant Asian American women than among US-born Asian american women.","volume":"16","author":"Morey","year":"2019","journal-title":"Prev Chronic Dis"},{"issue":"3","key":"zoi240351r38","doi-asserted-by":"publisher","first-page":"999","DOI":"10.1007\/s13524-019-00773-7","article-title":"Race matters: income shares, income inequality, and income mobility for all US races.","volume":"56","author":"Akee","year":"2019","journal-title":"Demography"},{"issue":"10","key":"zoi240351r39","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1001\/jamaoncol.2020.3327","article-title":"Disparities in cancer outcomes due to COVID-19\u2014a tale of 2 cities.","volume":"6","author":"Balogun","year":"2020","journal-title":"JAMA Oncol"},{"key":"zoi240351r40","doi-asserted-by":"publisher","DOI":"10.1016\/j.ypmed.2021.106640","article-title":"The trajectory of racial\/ethnic disparities in the use of cancer screening before and during the COVID-19 pandemic: a large U.S. academic center analysis.","volume":"151","author":"Marcondes","year":"2021","journal-title":"Prev Med"},{"issue":"6","key":"zoi240351r41","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2022.15490","article-title":"Changes in cancer screening in the US during the COVID-19 pandemic.","volume":"5","author":"Fedewa","year":"2022","journal-title":"JAMA Netw Open"},{"key":"zoi240351r1","volume-title":"Cancer Crusade: The Story of the National Cancer Act of 1971","author":"Rettig","year":"2005"},{"key":"zoi240351r2","unstructured":"National Cancer Institute. NCI-designated cancer centers. Updated September 7, 2023. Accessed March 26, 2024. https:\/\/www.cancer.gov\/research\/infrastructure\/cancer-centers"},{"key":"zoi240351r3","unstructured":"National Cancer Institute. Catchment areas of nci-designated cancer centers. Updated November 13, 2023. Accessed March 26, 2024. https:\/\/gis.cancer.gov\/ncicatchment\/"},{"key":"zoi240351r23","unstructured":"Johns Hopkins Medicine. The Sidney Kimmel Comprehensive Cancer Center. Accessed August 8, 2023. https:\/\/www.hopkinsmedicine.org\/kimmel_cancer_center\/"},{"key":"zoi240351r24","unstructured":"American Academy of Family Physicians. Zip code to ZCTA crosswalk. UDS Mapper. 2023. Accessed August 16, 2023. https:\/\/udsmapper.org\/zip-code-to-zcta-crosswalk\/"},{"key":"zoi240351r37","unstructured":"Kochhar? R, Cilluffo? A. Income inequality in the US is rising most rapidly among Asians. Pew Research Center. July 12, 2018. Accessed March 26, 2024. https:\/\/www.pewresearch.org\/social-trends\/2018\/07\/12\/income-inequality-in-the-u-s-is-rising-most-rapidly-among-asians\/"}],"container-title":["JAMA Network Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/articlepdf\/2818215\/desjardins_2024_oi_240351_1713819981.00456.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,2]],"date-time":"2024-05-02T11:33:29Z","timestamp":1714649609000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/fullarticle\/2818215"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,2]]},"references-count":41,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,5,1]]}},"URL":"https:\/\/doi.org\/10.1001\/jamanetworkopen.2024.9474","relation":{},"ISSN":["2574-3805"],"issn-type":[{"value":"2574-3805","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,2]]}}}