BACKGROUND: The incidence of papillary thyroid cancer has been reported to be increasing during the past three decades, with a 65-126% increase between 1975 and 2004. The reason for the increase is currently unknown. This study examined the incidence pattern of papillary thyroid cancer in the United States, and evaluated the components of birth cohort (defined based on year of birth), time period, and age as determinants of the observed time trend of the disease. METHODS: Using the data from the National Cancer Institute's Surveillance, Epidemiology, and End Results program for 1973-2004, we conducted both univariate analysis and age-period-cohort modeling to evaluate birth cohort patterns and evaluate age, period, and cohort effects on incidence trends over time. RESULTS: The increasing incidence showed a clear birth cohort pattern for both men and women. The results from age-period-cohort modeling showed that, while period effect appeared to have had an impact on the observed incidence trends, birth cohort effect may also explain part of the increasing trend in papillary thyroid carcinoma during the study period, especially among women. CONCLUSION: While a period effect that is likely due to advancements in diagnostic techniques and increased medical detection of small thyroid nodules may explain some of the observed increase in the incidence, we speculate that birth cohort-related changes in environmental exposures (such as increased exposure to diagnostic X-rays and polybrominated diphenyl ethers) have also contributed to the observed increase in papillary thyroid cancer during the past decades.
BACKGROUND: The incidence of papillary thyroid cancer has been reported to be increasing during the past three decades, with a 65-126% increase between 1975 and 2004. The reason for the increase is currently unknown. This study examined the incidence pattern of papillary thyroid cancer in the United States, and evaluated the components of birth cohort (defined based on year of birth), time period, and age as determinants of the observed time trend of the disease. METHODS: Using the data from the National Cancer Institute's Surveillance, Epidemiology, and End Results program for 1973-2004, we conducted both univariate analysis and age-period-cohort modeling to evaluate birth cohort patterns and evaluate age, period, and cohort effects on incidence trends over time. RESULTS: The increasing incidence showed a clear birth cohort pattern for both men and women. The results from age-period-cohort modeling showed that, while period effect appeared to have had an impact on the observed incidence trends, birth cohort effect may also explain part of the increasing trend in papillary thyroid carcinoma during the study period, especially among women. CONCLUSION: While a period effect that is likely due to advancements in diagnostic techniques and increased medical detection of small thyroid nodules may explain some of the observed increase in the incidence, we speculate that birth cohort-related changes in environmental exposures (such as increased exposure to diagnostic X-rays and polybrominated diphenyl ethers) have also contributed to the observed increase in papillary thyroid cancer during the past decades.
Authors: B A Mayes; E E McConnell; B H Neal; M J Brunner; S B Hamilton; T M Sullivan; A C Peters; M J Ryan; J D Toft; A W Singer; J F Brown; R G Menton; J A Moore Journal: Toxicol Sci Date: 1998-01 Impact factor: 4.849
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Authors: Simone Maschauer; Kristin Michel; Philipp Tripal; Katrin Büther; Torsten Kuwert; Otmar Schober; Klaus Kopka; Burkhard Riemann; Olaf Prante Journal: Am J Nucl Med Mol Imaging Date: 2013-09-19
Authors: Dana M Hartl; Daniel F Brasnu; Jatin P Shah; Michael L Hinni; Robert P Takes; Kerry D Olsen; Luiz P Kowalski; Juan P Rodrigo; Primož Strojan; Gregory T Wolf; Alessandra Rinaldo; Carlos Suárez; William M Mendenhall; Vinidh Paleri; Arlene A Forastiere; Jochen A Werner; Alfio Ferlito Journal: Eur Arch Otorhinolaryngol Date: 2013-01-03 Impact factor: 2.503
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