Rheumatoid arthritis

Spatiotemporal distributions and regional disparities of rheumatoid arthritis in 953 global to local locations, 1980-2040, with deep learning-empowered forecasts and evaluation of interventional policies’ benefits

Ann Rheum DisPublished Descriptive epidemiological study of global rheumatoid arthritis (RA) burden with deep-learning forecasts

Authors' conclusion

Demographic changes and uneven health infrastructure exacerbated RA burdens and disparities worldwide, with high SDI areas hardest hit while low SDI regions saw increases.

Study context

Population
RA across 953 locations worldwide953 locations
Outcome
Global RA burden (prevalence, incidence, death rate, DALYs)
Follow-up
2021
Methodological details953 locations worldwide, inequality and frontier analysis, deep-learning forecasting pipeline with scenario simulations
  • 953 locations worldwide
  • Inequality and frontier analysis
  • Deep-learning forecasting pipeline with scenario simulations

Main finding

As reported in the abstract

People affected by RA globally, 2021

17.9 million

Increase in incidence rate, 1990-2021

13.2%

Fall in age-standardised death rate, 1980 to 2021

32.7%

Further findings

Forecast: smoking control policies, male patients in high-smoking regions like China

Reduction in RA-related deaths
16.8%
Reduction in disability-adjusted life years (DALYs)
20.6%

Original publication

Spatiotemporal distributions and regional disparities of rheumatoid arthritis in 953 global to local locations, 1980-2040, with deep learning-empowered forecasts and evaluation of interventional policies’ benefits. Ann Rheum Dis. Published 16 June 2025. doi:10.1016/j.ard.2025.04.009

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