Spatial and temporal patterns of prostate cancer burden and their association with Socio-Demographic Index in Asia, 1990-2019

Prostate. 2022 Feb;82(2):193-202. doi: 10.1002/pros.24258. Epub 2021 Oct 18.

Abstract

Background: Prostate cancer is the second most frequently diagnosed cancer for males worldwide, but the spatial and temporal trends of prostate cancer burden remain unknown in Asia. This study aimed to investigate the changing spatial and temporal trends of incidence, prevalence, mortality, disability-adjusted life year (DALY), and mortality-to-incidence ratio (MIR) of prostate cancer, and their association with the Socio-Demographic Index (SDI) in 48 Asian countries from 1990 to 2019.

Methods: Data were extracted from the Global Health Data Exchange query tool, covering 48 Asian countries from 1990 to 2019. The average annual percent change was calculated to evaluate temporal trends. Spatial autocorrelation analysis was used to obtain spatial patterns, and the association between SDI and prostate cancer burden was estimated using a spatial panel model.

Results: In Asia, the age-standardized incidence and prevalence of prostate cancer increased in almost all countries, and its mortality and DALY also increased in over half of the countries. Significantly regional disparities were found in Asia, and the hot spots for incidence, prevalence, mortality, and DALY were all located in Western Asia, the hot spots of percent change also occurred in Western Asia for incidence and DALY. Furthermore, SDI had a positive association with mortality (coef = 2.51, 95% confidence interval [CI]: 2.13-2.90) and negative association with DALY (coef = -14.99, 95% CI: -20.37 to -9.60) and MIR (coef = -0.95, 95%CI: -0.99 to -0.92).

Conclusions: Prostate cancer burden increased rapidly throughout Asia and substantial disparities had persisted between countries. Geographically targeted interventions are needed to reduce the prostate cancer burden throughout Asia and in specific countries.

Keywords: Socio-Demographic Index; burden; joinpoint regression analysis; prostate cancer; spatial autocorrelation analysis.

MeSH terms

  • Age Factors
  • Asia / epidemiology
  • Demography
  • Disability-Adjusted Life Years
  • Global Burden of Disease* / ethnology
  • Global Burden of Disease* / trends
  • Health Services Needs and Demand*
  • Humans
  • Incidence
  • Male
  • Mortality
  • Prevalence
  • Prostatic Neoplasms / epidemiology*
  • Socioeconomic Factors
  • Spatio-Temporal Analysis*