Use of 2-Stage Modeling to Identify How Colorectal Cancer Risk Changes With Period and Cohort.
Use of 2-Stage Modeling to Identify How Colorectal Cancer Risk Changes With Period and Cohort.
复制标题
使用两阶段模型来确定结直肠癌风险如何随时期和队列变化。
DOI:
10.1093/aje/kwac177
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发表时间:
2023
影响因子:
5
通讯作者:
Lee,SaritaD
中科院分区:
文献类型:
--
作者:
DeYoreo,Maria;Rutter,CarolynM;Lee,SaritaD
Colorectal cancer (CRC) incidence rates have decreased among adults aged 50 years or older while increasing in adults under age 50 years. Understanding these trends is challenging because of the multiple related time scales of age, diagnosis period, and birth cohort. We analyzed incidence rates of rectal, distal colon, and proximal colon cancer for individuals aged 20 years or more from the Surveillance, Epidemiology, and End Results Program for diagnosis years 1978–2017. We used a 2-stage generalized linear model to determine age, period, and cohort effects for CRC incidence. We first estimated birth cohort effects among people under age 45 years. We used these results to specify prior distributions for cohort effects in a Bayesian model to estimate period effects among people aged 45 years or more. There was no evidence of period effects for people under age 45 years. Risks of rectal and distal colon cancer increased for later birth cohorts. Compared with the 1943–1952 birth cohort, the 1983–1992 birth cohort had 2.2 times the risk of rectal cancer, 1.9 times the risk of distal colon cancer, and 1.3 times the risk of proximal colon cancer. For people aged ≥45 years, period effects showed declines in CRC risk that were attributable to screening.