医学
国内生产总值
福利
人口学
人口
入射(几何)
死亡率
人口经济学
环境卫生
经济增长
经济
外科
物理
社会学
光学
市场经济
作者
Jakob V. E. Gerstl,Alexander G. Yearley,John L. Kilgallon,Philipp Lassarén,Faith C. Robertson,Vendela Herdell,Andy Wang,David J. Segar,Joshua D. Bernstock,Edward R. Laws,Kavitha Ranganathan,Timothy R. Smith
标识
DOI:10.3171/2022.9.jns221499
摘要
OBJECTIVE Country-by-country estimates of the macroeconomic disease burden of central nervous system (CNS) cancers are important when determining the allocation of resources related to neuro-oncology. Accordingly, in this study the authors investigated macroeconomic losses related to CNS cancer in 173 countries and identified pertinent epidemiological trends. METHODS Data for CNS cancer incidence, mortality, and disability-adjusted life years (DALYs) were collected from the Global Burden of Disease 2019 database. Gross domestic product data were combined with DALY data to estimate economic losses using a value of lost welfare approach. RESULTS The mortality-to-incidence ratio of CNS cancer in 2019 was 0.60 in high-income regions compared to 0.82 in Sub-Saharan Africa and 0.87 in Central Europe, Eastern Europe, and Central Asia. Welfare losses varied across both high- and low-income countries. Welfare losses attributable to CNS cancer in Japan represented 0.07% of the gross domestic product compared to 0.23% in Germany. In low- and middle-income countries, Iraq reported welfare losses of 0.20% compared to 0.04% in Angola. Globally, the DALY rate in 2019 was the same for CNS cancer as for prostate cancer at 112 per 100,000 person-years, despite a 75% lower incidence rate, equating to CNS cancer welfare losses of 182 billion US dollars. CONCLUSIONS Macroeconomic losses vary across high- and low-income settings and appear to be region specific. These differences may be explained by differences in regional access to screening and diagnosis, population-level genetic predispositions, and environmental risk factors. Mortality-to-incidence ratios are higher in low- and middle-income countries than in high-income countries, highlighting possible gaps in treatment access. Quantification of macroeconomic losses related to CNS cancer can help to justify the spending of finite resources to improve outcomes for neuro-oncological patients globally.
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