title: The modifying effect of patient location on stage-specific survival following colorectal cancer using geosurvival models.
abstract: Colorectal cancer (CRC) is the third leading cause of cancer death in the US, and stage at diagnosis is the primary prognostic factor. To date, the interplay between geographic place and individual characteristics such as cancer stage with CRC survival is unexplored. We used a Bayesian geosurvival statistical model to evaluate whether the spatial patterns of CRC survival at the census tract level varies by stage at diagnosis (in situ/local, regional, distant), controlling for patient characteristics, surveillance test use, and treatment using linked 1991-2005 SEER-Medicare data of patients ≥ 66 years old in two US metropolitan areas. The spatial pattern of survival varied by stage at diagnosis for both cancer sites and registries. Significant spatial effects were identified in all census tracts for colon cancer and the majority of census tracts for rectal cancer. Geographic disparities appeared to be highest for distant-stage rectal cancer. Compared to those with in situ/local stage in the same census tracts, patients with distant-stage cancer were at most 7.73 times and 4.69 times more likely to die of colon and rectal cancer, respectively. Moreover, frailty areas for CRC at in situ/local stage more likely have a higher relative risk at regional stage, but not at distant stage. We identified geographic areas with excessive risk of CRC death and demonstrated that spatial patterns varied by both cancer type and cancer stage. More research is needed to understand the moderating pathways between geographic and individual-level factors on CRC survival.
authors.affiliation: Department of Internal Medicine, Division of Health Behavior Research, Washington University School of Medicine, 4444 Forest Park Avenue, Suite 6700, St. Louis, MO 63108, USA. lchien@dom.wustl.edu
authors.forename: Lung-Chang
authors.initials: LC
authors.lastname: Chien
authors.forename: Mario
authors.initials: M
authors.lastname: Schootman
authors.forename: Sandi L
authors.initials: SL
authors.lastname: Pruitt
mesh_terms: D000368:Aged; D001499:Bayes Theorem; D002947:Cities; D003110:Colonic Neoplasms / Q000175:diagnosis / Q000453:epidemiology / Q000401:mortality; D015179:Colorectal Neoplasms / Q000175:diagnosis / Q000453:epidemiology / Q000401:mortality*; D003710:Demography; D005260:Female; D005843:Geography; D005845:Georgia / Q000453:epidemiology; D006801:Humans; D008297:Male; D008824:Michigan / Q000453:epidemiology; D015233:Models, Statistical; D012004:Rectal Neoplasms / Q000175:diagnosis / Q000453:epidemiology / Q000401:mortality; D012042:Registries; D018426:SEER Program; D016019:Survival Analysis