BMC Oral Health (Aug 2024)

Mortality and disease burden of oral cancer in China: a time-trend analysis on the China Death Surveillance Database from 2006 to 2021

  • Xiaoyue Zhang,
  • Weihong Xie,
  • Hua Ye,
  • Jicun Zhu,
  • Guiying Sun,
  • Yaxin Zhang,
  • Chong Sheng,
  • Jiaxin Li,
  • Haiyan Liu,
  • Zhong Zheng,
  • Peng Wang

DOI
https://doi.org/10.1186/s12903-024-04717-5
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 9

Abstract

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Abstract Background Oral cancer is one of the most common cancers in China and seriously threaten life and health of Chinese people. We analysed the trends and disparities of oral cancer mortality rates and the disease burden of oral cancer in China from 2006 to 2021 to provide a reference for its prevention and control. Methods Annual death data for oral cancer was gleaned from the China Death Surveillance Database. The age-standardized mortality rate (ASMR), annual percentage change (APC), and average APC (AAPC) were used to analyze the trend of mortality. Loss of life expectancy (LLE) and years of life lost (YLL) were adopted to assess disease burden. Results From 2006 to 2021, the overall ASMR of oral cancer lightly declined (AAPC: − 0.97%; 95% CI: − 1.89%, − 0.04%), and the similar trend was observed among females (AAPC: − 1.22%; 95% CI: − 1.89%, − 0.55%). The ASMR of males was 2.31–3.16 times higher than that of females per year. The median of LLE for overall, males and females caused by oral cancer from 2006 to 2021 were 0.05, 0.06 and 0.03 years, respectively. There was a decrease of standardized YLL rate from 2006 to 2021 for overall (AAPC: − 1.31%, 95% CI: − 2.24% ~ − 0.37%) and for female (AAPC: − 1.63%, 95% CI: − 2.30% ~ − 0.95%). ASMR in urban areas was 1.02–1.28 times higher than that in rural areas from 2006 to2011, but 0.85–0.97 times lower in urban areas than that in rural areas from 2018 to 2021. The disease burden was higher in urban areas than in rural areas in 2006, whereas the reverse was observed in 2021. Conclusions There are severe health gaps and disparities in trends between sexes and different areas in China. Males and rural populations need to be focused on targeted interventions for the main influencing factors.

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