Trend in Cervical Cancer Incidence and Mortality Rates in China, 2006-2030: A Bayesian Age-Period-Cohort Modeling Study

被引:7
|
作者
Yuan, Meiwen [1 ]
Zhao, Xuelian [1 ]
Wang, Honghao [1 ]
Hu, Shangying [1 ]
Zhao, Fanghui [1 ,2 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Dept Canc Epidemiol, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China
[2] Chinese Acad Med Sci & Peking Union Med Coll, Dept Canc Epidemiol, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp, 17 South Panjiayuan Lane, Beijing 100021, Peoples R China
关键词
HUMAN-PAPILLOMAVIRUS; WOMEN; PREVALENCE;
D O I
10.1158/1055-9965.EPI-22-0674
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: There are no studies extrapolating the incidence and mortality of cervical cancer in China by comparing incidence and deaths pattern between geographic and age groups.Methods: We applied age-period-cohort models to assess region -level trends in incidence and mortality from 2006 to 2016, with piecewise linear regression in a Bayesian framework to predict these trends to 2030.Results: Between 2006 and 2016, age-standardized incidence rates (ASIR) for females aged 15 to 84 years increased by 3.7% (95% confidence interval, 3.1%-4.3%) annually from 11.01 to 16.41 per 100,000 females in China. In the 25 to 39 age groups, the incidence rates decreased in urban regions and inversely increased in rural regions. The age-standardized mortality rates (ASMR) increased from 3.18 to 4.83, with annual increases of about 3.6% (1.5%-5.8%). From 2017 to 2030, the ASIR is expected to increase from 17.13 (15.91-18.46) to 23.22 (20.02-27.01) by 2.5% per year (P < 0.05). Meanwhile, the average age at diagnosis is predicted to grow from 53.1 to 60.5 years. In the 15 to 54 age groups, the incidence rates decreased in urban regions but increased in rural regions. The ASMR is expected to increase consistently from 4.82 (4.38-5.31) to 9.13 (7.35-11.39) by 5.0% per year (P < 0.05).Conclusions: Cervical cancer incidence and mortality rates are projected to increase in China. In addition, the urban-rural inci-dence gap is estimated to widen further among young women. Impact: Cervical cancer prevention should consider the trend and diversity in incidence patterns between urban and rural regions.
引用
收藏
页码:825 / 833
页数:9
相关论文
共 50 条
  • [1] Trend and projection of larynx cancer incidence and mortality in China from 1990 to 2044: A Bayesian age-period-cohort modeling study
    Ye, Enlin
    Huang, Jiasheng
    Wang, Jia
    Zhao, Yumei
    Niu, Dongdong
    Liu, Jie
    Huang, Xueying
    Yue, Suru
    Hou, Xuefei
    Wu, Jiayuan
    [J]. CANCER MEDICINE, 2023, 12 (15): : 16517 - 16530
  • [2] Bayesian age-period-cohort prediction of lung cancer incidence in China
    Chen, Wan-Qing
    Zheng, Rong-Shou
    Zeng, Hong-Mei
    [J]. THORACIC CANCER, 2011, 2 (04) : 149 - 155
  • [3] Age-period-cohort modeling of colorectal cancer incidence and mortality in Spain
    López-Abente, G
    Pollán, M
    Vergara, A
    Moreno, C
    Moreo, P
    Ardanaz, E
    Aragonés, N
    [J]. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 1997, 6 (12) : 999 - 1005
  • [4] Trends and projections of kidney cancer incidence at the global and national levels, 1990–2030: a Bayesian age-period-cohort modeling study
    Zhebin Du
    Wei Chen
    Qier Xia
    Oumin Shi
    Qi Chen
    [J]. Biomarker Research, 8
  • [5] Trends and predictions of lung cancer incidence in Jiangsu Province, China, 2009–2030: a bayesian age-period-cohort modelling study
    Yuchen Jiang
    Renqiang Han
    Jian Su
    Xikang Fan
    Hao Yu
    Ran Tao
    Jinyi Zhou
    [J]. BMC Cancer, 22
  • [6] A Web Tool for Age-Period-Cohort Analysis of Cancer Incidence and Mortality Rates
    Rosenberg, Philip S.
    Check, David P.
    Anderson, William F.
    [J]. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2014, 23 (11) : 2296 - 2302
  • [7] Trend and projection of the prevalence and burden of near vision loss in China and globally from 1990 to 2030: A Bayesian age-period-cohort modeling study
    Xu, Yanxin
    Mao, Yan
    Lin, Xuming
    Gao, Zongyin
    Ruan, Xiaoting
    [J]. JOURNAL OF GLOBAL HEALTH, 2024, 14
  • [8] Trends in Musculoskeletal Rehabilitation Needs in China From 1990 to 2030: A Bayesian Age-Period-Cohort Modeling Study
    Chen, Ningjing
    Fong, Daniel Yee Tak
    Wong, Janet Yuen Ha
    [J]. FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [9] Trends and projections of kidney cancer incidence at the global and national levels, 1990-2030: a Bayesian age-period-cohort modeling study
    Du, Zhebin
    Chen, Wei
    Xia, Qier
    Shi, Oumin
    Chen, Qi
    [J]. BIOMARKER RESEARCH, 2020, 8 (01)
  • [10] Trends and predictions of lung cancer incidence in Jiangsu Province, China, 2009-2030: a bayesian age-period-cohort modelling study
    Jiang, Yuchen
    Han, Renqiang
    Su, Jian
    Fan, Xikang
    Yu, Hao
    Tao, Ran
    Zhou, Jinyi
    [J]. BMC CANCER, 2022, 22 (01)