Literature DB >> 32124559

Long-term liver cancer incidence and mortality trends in the Changning District of Shanghai, China.

Xiao Wei Ji1,2, Yu Jiang3, Hua Wu2, Peng Zhou3, Yu Ting Tan2, Hong Lan Li2, Lei Zhang3, Wen Sui Zhao3, Qing Hua Xia3, Freddie Bray4, Yong Bing Xiang1,2.   

Abstract

OBJECTIVE: To evaluate the trends and estimate the long-term effects of age, period and birth cohort on the incidence and mortality rates of liver cancer (LC) in an urban district of Shanghai, China.
METHODS: Crude and age-standardized rates of the incidence and mortality of LC were calculated from 1973 to 2013 annually by sex, and the direction and magnitude of the trends were estimated by the average annual percentage change (AAPC) using the Joinpoint Regression Model. An age-period-cohort (APC) model was also used to evaluate the non-linear effects of calendar time and birth cohort on LC incidence and mortality.
RESULTS: In 1973-1977 and 2008-2013 the age-standardized rates of LC incidence and mortality (per 100 000) were 24.27 and 22.60 in men, and 7.50 and 7.26 in women, respectively. Declining trends of LC incidence and mortality rates were observed for both sexes (AAPC; P < 0.05 for both). The APC models indicated that the rates of LC incidence and mortality were significantly influenced both by calendar time and birth cohort effects.
CONCLUSIONS: The incidence and mortality rates of LC have decreased in both sexes in the Changning District of Shanghai over the past four decades. Although obvious descending trends of LC incidence and mortality were detected, attention should also be paid to the LC burden for a long time in the future because of huge population size in China and the continuity of population aging.
© 2020 Chinese Medical Association Shanghai Branch, Chinese Society of Gastroenterology, Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  Joinpoint regression model; age-period-cohort analysis; incidence; liver cancer; mortality

Mesh:

Year:  2020        PMID: 32124559     DOI: 10.1111/1751-2980.12855

Source DB:  PubMed          Journal:  J Dig Dis        ISSN: 1751-2972            Impact factor:   2.325


  3 in total

1.  Liver cancer mortality over six decades in an epidemic area: what we have learned.

Authors:  Jian-Guo Chen; Jian Zhu; Yong-Hui Zhang; Yong-Sheng Chen; Jian-Hua Lu; Yuan-Rong Zhu; Hai-Zhen Chen; Ai-Guo Shen; Gao-Ren Wang; John D Groopman; Thomas W Kensler
Journal:  PeerJ       Date:  2021-02-03       Impact factor: 2.984

2.  Incidence, Mortality Features and Lifetime Risk Estimation of Digestive Tract Cancers in an Urban District of Shanghai, China.

Authors:  Jing-Hao Bi; Hui-Yun Yuan; Yu Jiang; Yun Zhang; Wen-Wei Zheng; Lei Zhang; Zhuo-Ying Li; Hong-Lan Li; Yu-Ting Tan; Wen-Sui Zhao; Yong-Bing Xiang
Journal:  J Epidemiol Glob Health       Date:  2022-06-25

3.  Trends and Age-Period-Cohort Effects on the Prevalence, Incidence and Mortality of Hepatocellular Carcinoma from 2008 to 2017 in Tianjin, China.

Authors:  Chengyu Liu; Jing Wu; Zheng Chang
Journal:  Int J Environ Res Public Health       Date:  2021-06-04       Impact factor: 3.390

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.