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
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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