{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T00:57:57Z","timestamp":1793753877383,"version":"4.6.1"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T00:00:00Z","timestamp":1658448000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01CA253858"],"award-info":[{"award-number":["U01CA253858"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,14]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Understanding the impact of patient and tumor characteristics on lung cancer survival can help build personalized prognostic models and identify health disparities.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We identified 557\u200a555 patients aged 25 years and older diagnosed with lung or bronchus carcinoma from the Surveillance, Epidemiology, and End Results database, 2000-2016. We estimated hazard ratios (HR) for demographic (sex, age, race and ethnicity), tumor (stage, histology, year of diagnosis), and geographic characteristics (census tract\u2013level urbanicity, socioeconomic status [SES]), as well as selected interactions, on the rate of lung cancer\u2013specific death using multivariable proportional hazards models.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Women had a higher survival (lower hazard) of lung cancer\u2013specific death than men (HR = 0.83, 95% confidence interval [CI] = 0.82 to 0.83). Hazards differed by race and ethnicity. Regional (HR = 2.41, 95% CI = 2.37 to 2.44) and distant (HR = 6.61, 95% CI = 6.53 to 6.69) tumors were associated with a lower survival (higher hazard) than localized tumors. Small cell tumors were associated with a lower survival (HR = 1.19, 95% CI = 1.18 to 1.20) than non\u2013small cell tumors. Patients diagnosed after 2009 had lower hazards (HR = 0.86, 95% CI = 085 to 0.86) than those diagnosed 2000-2009. Lung cancer\u2013specific survival did not depend on urbanicity after adjusting for census tract\u2013level SES, but survival decreased with decreasing census tract\u2013level SES. Differences in survival between non-Hispanic Black and White patients were greater for younger patients and localized tumors and increased with census tract\u2013level SES. Differences by sex were greatest for young patients and localized tumors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Disparities in survival after lung cancer diagnosis remain, with intersectional patterns suggesting differential access to and quality of care. Efforts are needed to ensure that high-risk groups receive guideline-concordant treatment.<\/jats:p><\/jats:sec>","DOI":"10.1093\/jnci\/djac144","type":"journal-article","created":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T14:19:28Z","timestamp":1658499568000},"page":"1492-1500","source":"Crossref","is-referenced-by-count":21,"title":["Sociodemographic Survival Disparities for Lung Cancer in the United States, 2000-2016"],"prefix":"10.1093","volume":"114","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3779-5287","authenticated-orcid":false,"given":"Andrew F","family":"Brouwer","sequence":"first","affiliation":[{"name":"Department of Epidemiology, University of Michigan , Ann Arbor, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0325-2791","authenticated-orcid":false,"given":"Jason M","family":"Engle","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Michigan , Ann Arbor, MI, 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