BACKGROUND: Increases in thyroid papillary carcinoma incidence rates have largely been attributed to heightened medical surveillance and improved diagnostics. We examined papillary carcinoma incidence in an equal-access health care system by demographics that are related to incidence. METHODS: Incidence rates during 1990-2004 among white and black individuals aged 20 to 49 years in the military, and the general U.S. population were compared using data from the Department of Defense's Automated Central Tumor Registry and the National Cancer Institute's Surveillance Epidemiology and End Results (SEER-9) program. RESULTS: Incidence was significantly higher in the military than in the general population among white women [incidence rate ratio (IRR) = 1.42; 95% confidence interval (CI), 1.25-1.61], black women (IRR = 2.31; 95% CI, 1.70-2.99), and black men (IRR = 1.69, 95% CI, 1.10-2.50). Among whites, differences between the two populations were confined to rates of localized tumors (women: IRR = 1.73, 95% CI, 1.47-2.00; men: IRR = 1.51, 95% CI, 1.30-1.75), which may partially be due to variation in staging classification. Among white women, rates were significantly higher in the military regardless of tumor size and rates rose significantly over time both for tumors ≤ 2 cm (military: IRR = 1.64, 95% CI, 1.18-2.28; general population: IRR = 1.55, 95% CI, 1.45-1.66) and > 2 cm (military: IRR = 1.74, 95% CI, 1.07-2.81; general population: IRR = 1.48, 95% CI, 1.27-1.72). Among white men, rates increased significantly only in the general population. Incidence also varied by military service branch. CONCLUSIONS: Heightened medical surveillance does not appear to fully explain the differences between the two populations or the temporal increases in either population. IMPACT: These findings suggest the importance of future research into thyroid cancer etiology.
BACKGROUND: Increases in thyroid papillary carcinoma incidence rates have largely been attributed to heightened medical surveillance and improved diagnostics. We examined papillary carcinoma incidence in an equal-access health care system by demographics that are related to incidence. METHODS: Incidence rates during 1990-2004 among white and black individuals aged 20 to 49 years in the military, and the general U.S. population were compared using data from the Department of Defense's Automated Central Tumor Registry and the National Cancer Institute's Surveillance Epidemiology and End Results (SEER-9) program. RESULTS: Incidence was significantly higher in the military than in the general population among white women [incidence rate ratio (IRR) = 1.42; 95% confidence interval (CI), 1.25-1.61], black women (IRR = 2.31; 95% CI, 1.70-2.99), and black men (IRR = 1.69, 95% CI, 1.10-2.50). Among whites, differences between the two populations were confined to rates of localized tumors (women: IRR = 1.73, 95% CI, 1.47-2.00; men: IRR = 1.51, 95% CI, 1.30-1.75), which may partially be due to variation in staging classification. Among white women, rates were significantly higher in the military regardless of tumor size and rates rose significantly over time both for tumors ≤ 2 cm (military: IRR = 1.64, 95% CI, 1.18-2.28; general population: IRR = 1.55, 95% CI, 1.45-1.66) and > 2 cm (military: IRR = 1.74, 95% CI, 1.07-2.81; general population: IRR = 1.48, 95% CI, 1.27-1.72). Among white men, rates increased significantly only in the general population. Incidence also varied by military service branch. CONCLUSIONS: Heightened medical surveillance does not appear to fully explain the differences between the two populations or the temporal increases in either population. IMPACT: These findings suggest the importance of future research into thyroid cancer etiology.
Authors: Fred A Mettler; Bruce R Thomadsen; Mythreyi Bhargavan; Debbie B Gilley; Joel E Gray; Jill A Lipoti; John McCrohan; Terry T Yoshizumi; Mahadevappa Mahesh Journal: Health Phys Date: 2008-11 Impact factor: 1.316
Authors: Arnold Schecter; Sarah Smith; Darrah Haffner; Justin Colacino; Noor Malik; Keyur Patel; T Robert Harris; Mathias Opel; Olaf Paepke Journal: J Occup Environ Med Date: 2010-12 Impact factor: 2.162
Authors: Mario Stefano Peragallo; Francesco Urbano; Florigio Lista; Giuseppe Sarnicola; Alfredo Vecchione Journal: Cancer Epidemiol Date: 2010-07-17 Impact factor: 2.984
Authors: Kangmin Zhu; Susan S Devesa; Hongyu Wu; Shelia Hoar Zahm; Ismail Jatoi; William F Anderson; George E Peoples; Larry G Maxwell; Elder Granger; John F Potter; Katherine A McGlynn Journal: Cancer Epidemiol Biomarkers Prev Date: 2009-06 Impact factor: 4.254
Authors: Lindsey Enewold; Kangmin Zhu; Elaine Ron; Aizen J Marrogi; Alexander Stojadinovic; George E Peoples; Susan S Devesa Journal: Cancer Epidemiol Biomarkers Prev Date: 2009-02-24 Impact factor: 4.254
Authors: Briseis Aschebrook-Kilfoy; Mary H Ward; Curt T Della Valle; Melissa C Friesen Journal: Occup Environ Med Date: 2014-03-06 Impact factor: 4.402
Authors: Huang Huang; Andreas Sjodin; Yingtai Chen; Xin Ni; Shuangge Ma; Herbert Yu; Mary H Ward; Robert Udelsman; Jennifer Rusiecki; Yawei Zhang Journal: Am J Epidemiol Date: 2020-02-28 Impact factor: 4.897
Authors: Hilary L Colbeth; Natalia Genere; Charles B Hall; Nadia Jaber; Juan P Brito; Omar M El Kawkgi; David G Goldfarb; Mayris P Webber; Theresa M Schwartz; David J Prezant; Rachel Zeig-Owens Journal: JAMA Intern Med Date: 2020-06-01 Impact factor: 21.873
Authors: Pamela L Horn-Ross; Daphne Y Lichtensztajn; Christina A Clarke; Chrysoula Dosiou; Ingrid Oakley-Girvan; Peggy Reynolds; Scarlett Lin Gomez; David O Nelson Journal: Cancer Epidemiol Biomarkers Prev Date: 2014-05-19 Impact factor: 4.090