Objective:

To systematically compare the burden of chronic kidney disease due to type 2 diabetes mellitus (T2DM-CKD) between China and G20 countries from 1990 to 2023 and project trends in the disease burden from 2024 to 2050.

Approach:

Key Findings:

• China's age-standardized incidence rate (ASIR), age-standardized death rate (ASDR), and age-standardized disability-adjusted life year rate (ASDALYR) showed a downward trend from 1990 to 2023.
• The average annual percentage change for age-standardized incidence rate (ASIR), age-standardized death rate (ASDR), and age-standardized disability-adjusted life year rate (ASDALYR) was –0.72%, –2.02%, and –1.45%, respectively.
• Aging has led to a steady rise in the absolute burden of T2DM-CKD in China.
• The burden of age-standardized incidence rate (ASIR) is concentrated in low SDI countries, while age-standardized death rate (ASDR) is shifting toward high-SDI countries.
• The BAPC model projects a 23.2% increase in age-standardized incidence by 2050.

Interpretation:

China faces a growing population with chronic conditions, necessitating a focus on reducing incidence rates among the elderly. G20 countries require tailored interventions to address health inequalities across SDI levels, emphasizing the need for collaborative efforts.

Limitations:

• The ARIMA model yielded unrealistic over-estimations and is not emphasized in the findings, which may mislead interpretations.
• Data limitations inherent in the GBD database may affect the accuracy of the findings, particularly in representing the true burden of T2DM-CKD.

Conclusion:

China must prepare for an increasing burden of T2DM-CKD, while G20 nations need collaborative efforts to reduce health disparities.

Sources:

• Global Burden of Disease 2023
Attribution Notice

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.