Pancreatic cancer burden in China from 1990 to 2023: an analysis based on the global burden of disease study 2023 - Summary - MDSpire

Pancreatic cancer burden in China from 1990 to 2023: an analysis based on the global burden of disease study 2023

  • By

  • Ziyue Wang

  • Shuai Wang

  • Guomu Liu

  • Hao Wu

  • Yuguo Chen

  • July 15, 2026

Share

Objective:

To analyze the burden of pancreatic cancer in China from 1990 to 2023 using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023.

Approach:
  • Data Source: Utilized data from the GBD 2023, synthesizing information from vital registration, cancer registries, and censuses.
  • Burden Measures: Assessed incidence, mortality, prevalence, and disability-adjusted life years (DALYs) using age-standardized rates (ASRs) and crude rates.
  • Decomposition Analysis: Quantified contributions of population growth, aging, and epidemiological change to pancreatic cancer burden changes.
  • Risk Factor Analysis: Evaluated burden attributable to modifiable risk factors including smoking, high fasting plasma glucose (HFPG), high body mass index (BMI), and high alcohol use.
  • Statistical Analysis: Employed Joinpoint regression to calculate average annual percentage changes (AAPCs) and explored short-term trends around the COVID-19 pandemic.
Key Findings:
  • In 2023, China had an estimated 118,381 incident cases (95% UI 103,773-135,339) and 114,949 deaths (95% UI 101,214-131,619) from pancreatic cancer.
  • The age-standardized prevalence rate (ASPR) increased slightly with an AAPC of 0.38%.
  • The burden was consistently higher in males than in females, with rising incidence rates in both 15–49 years and ≥75 years age groups.
  • High fasting plasma glucose (HFPG) was identified as a more significant risk factor than smoking.
  • Post-2019 trends in age-standardized incidence and mortality rates showed increases that were not statistically significant.
Interpretation:

Limitations:
  • The study relies on modeling estimates which may have inherent uncertainties.
  • Short-term trends post-2019 require further validation due to potential disruptions from the COVID-19 pandemic.
Conclusion:

Sources:

Original Source(s)

Related Content