Zhu Cairong, Zheng Tongzhang, Kilfoy Briseis A, Han Xuesong, Ma Shuangge, Ba Yue, Bai Yana, Wang Rong, Zhu Yong, Zhang Yawei
Yale University School of Public Health, New Haven, Connecticut 06520, USA.
Thyroid. 2009 Oct;19(10):1061-6. doi: 10.1089/thy.2008.0342.
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.
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.
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.
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.
据报道,在过去三十年中,甲状腺乳头状癌的发病率一直在上升,1975年至2004年间增长了65%至126%。目前尚不清楚发病率上升的原因。本研究调查了美国甲状腺乳头状癌的发病模式,并评估了出生队列(根据出生年份定义)、时间段和年龄等因素,以确定这些因素是否是导致该疾病观察到的时间趋势的决定因素。
利用美国国立癌症研究所监测、流行病学和最终结果计划1973年至2004年的数据,我们进行了单变量分析和年龄-时期-队列建模,以评估出生队列模式,并评估年龄、时期和队列对发病率随时间变化趋势的影响。
发病率上升在男性和女性中均呈现出明显的出生队列模式。年龄-时期-队列建模结果表明,虽然时期效应似乎对观察到的发病率趋势有影响,但出生队列效应也可能解释了研究期间甲状腺乳头状癌发病率上升趋势的一部分,尤其是在女性中。
虽然可能由于诊断技术的进步和对小甲状腺结节的医学检测增加导致的时期效应可以解释观察到的发病率上升的一部分,但我们推测,与出生队列相关的环境暴露变化(如诊断性X射线和多溴二苯醚暴露增加)也导致了过去几十年中观察到的甲状腺乳头状癌发病率上升。