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Esophageal and gastric cancer incidence trends in Golestan, Iran: An age‐period‐cohort analysis 2004 to 2018

医学 队列 入射(几何) 人口 人口学 置信区间 队列研究 癌症登记处 比率 代群效应 癌症 内科学 环境卫生 光学 物理 社会学
作者
Fatemeh Ghasemi‐Kebria,Shahryar Semnani,Abdolreza Fazel,Arash Etemadi,Taghi Amiriani,Mohammad Naeimi,Susan Hasanpour‐Heidari,Faezeh Salamat,Nastaran Jafari‐Delouie,SeyyedMehdi Sedaghat,Hamideh Sadeghzadeh,Mahnaz Akbari,Mahshid Mehrjerdian,Elisabete Weiderpass,Gholamreza Roshandel,Freddie Bray,Reza Malekzadeh
出处
期刊:International Journal of Cancer [Wiley]
卷期号:153 (1): 73-82 被引量:7
标识
DOI:10.1002/ijc.34518
摘要

Golestan province in the northeast of Iran is part of the Asian esophageal cancer belt and is known as a high-risk area for esophageal (EC) and gastric cancers (GC). Data on incident cases of EC and GC during 2004 to 2018 were obtained from the Golestan Population-based Cancer Registry (GPCR). The age-standardized incidence rates (ASRs) were calculated and presented per 100 000 person-years. The estimated annual percentage change (EAPC) with 95% confidence interval (95% CI) were calculated. We also fitted age-period-cohort (APC) models to assess nonlinear period and cohort effects as incidence rate ratios (IRRs). Overall, 3004 new cases of EC (ASR = 15.7) and 3553 cases of GC (ASR = 18.3) were registered in the GPCR. We found significant decreasing trends in incidence rates of EC (EAPC = -5.0; 95% CI: -7.8 to -2.2) and less marked nonsignificant trends for GC (EAPC = -1.4; 95% CI: -4.0 to 1.4) during 2004 to 2018. There was a strong cohort effect for EC with a consistent decrease in the IRR across successive birth cohorts, starting with the oldest birth cohort (1924; IRR = 1.9 vs the reference birth cohort of 1947) through to the most recent cohort born in 1988 (IRR = 0.1). The marked declines in EC incidence rates in Golestan relate to generational changes in its underlying risk factors. Despite favorable trends, this population remains at high risk of both EC and GC. Further studies are warranted to measure the impact of the major risk factors on incidence with a view to designing effective preventative programs.
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