BACKGROUND: Cancer poses a significant public health challenge in India, making it crucial to predict its future impact for effective healthcare planning. This study forecast cancer incidence, mortality, and disability-adjusted life years (DALYs) in India from 2022 to 2031. METHODS: We extracted age-standardized data on incidence, prevalence, DALYs, and mortality from 1990 to 2021 from the Global Burden of Disease (GBD) study. We used Decadal Average Percentage Change techniques to identify trends in cancer burden over decades and the Autoregressive Integrated Moving Average (ARIMA) method were used for forecasting. The ARIMA (2,2,2) model was identified as the best for predicting cancer incidence, ARIMA (0,3,3) for DALYs, and ARIMA (0,2,2) for mortality. RESULTS: The cancer incidence rate is expected to rise from 529.40 (95% CI: 525.41-533.38) in 2022 to 549.17 (95% CI: 487.43-610.92) per 100,000 population in 2031. The DALYs rate is projected to decrease from 2001.53 (95% CI: 1964.24-2038.82) in 2022 to 1842.08 (95% CI: 1273.57-2410.60) per 100,000 population in 2031, indicating improvements in cancer burden management. Mortality rates are forecasted to increase slightly, from 71.52 (95% CI: 69.91-73.12) in 2022 to 73.00 (95% CI: 60.88-85.11) per 100,000 population in 2031. Overall, while incidence and mortality rates show a slight upward trend, the DALYs rate is projected to decrease, reflecting potential advancements in cancer management and treatment over the forecast period. CONCLUSIONS: Over the next decade, cancer incidence and mortality are expected to increase in India, highlighting the need for enhanced prevention, early detection, and proper treatment strategies. Despite these increases, the anticipated decrease in DALYs suggests potential advancements in cancer management, warranting further investigation into the drivers of this positive trend and measures to sustain it.
Estimation of burden of cancer incidence and mortality in India: based on global burden of disease study 1990-2021.
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作者:Jena Diptismita, Padhi Bijaya K, Zahiruddin Quazi Syed, Ballal Suhas, Kumar Sanjay, Bhat Mahakshit, Sharma Shilpa, Kumar M Ravi, Rustagi Sarvesh, Gaidhane Abhay M, Gaur Ashish, Sah Sanjit, Satapathy Prakasini
| 期刊: | BMC Cancer | 影响因子: | 3.400 |
| 时间: | 2024 | 起止号: | 2024 Oct 15; 24(1):1278 |
| doi: | 10.1186/s12885-024-13035-6 | ||
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