Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366991112> ?p ?o ?g. }
- W4366991112 abstract "<sec> <title>BACKGROUND</title> Little is known about trends in or projections of the disease burden of dietary gastric and esophageal cancer (GEC) in China. </sec> <sec> <title>OBJECTIVE</title> We aim to report GEC deaths and disability-adjusted life years (DALYs) from 1990 to 2019, predict them through 2044, and decompose changes in terms of population growth, population aging, and epidemiological changes. </sec> <sec> <title>METHODS</title> We retrieved dietary GEC data from the Global Burden of Disease (GBD) online database and used joinpoint regression and age-period-cohort models to analyze trends in dietary GEC deaths and DALYs from 1990 to 2019 in China. We used a Bayesian age period cohort model of integrated nested Laplace approximations to predict the disease burden of GEC through 2044 and obtained the estimated population of China from 2020 to 2050 from the Global Health Data Exchange website. Finally, we applied a recently developed decomposition method to attribute changes between 2019 and 2044 to population growth, population aging, and epidemiological changes. </sec> <sec> <title>RESULTS</title> The summary exposure values and age-standardized rates decreased significantly from 1990 to 1999, with percentage changes of –0.06% (95% CI –0.11% to –0.02%) and –0.05% (95% CI –0.1% to –0.02%), respectively. From 1990 to 2019, for dietary esophageal cancer, the percentage change in age-standardized mortality rate (ASMR) was –0.79% (95% CI –0.93% to –0.58%) and the percentage change in age-standardized DALY rate (ASDR) was –0.81% (95% CI –0.94% to –0.61%); these were significant decreases. For dietary stomach cancer, significant decreases were also observed for the percentage change in ASMR (–0.43%, 95% CI –0.55% to –0.31%) and the percentage change in ASDR (–0.47%, 95% CI –0.58% to –0.35%). In addition, data from both the joinpoint regression and annual percentage change analyses demonstrated significantly decreasing trends for the annual percentage change in ASMR and ASDR for GEC attributable to dietary carcinogens. The overall annual percentage change (net drift) was –5.95% (95% CI –6.25% to –5.65%) for dietary esophageal cancer mortality and –1.97% (95% CI –2.11% to –1.83%) for dietary stomach cancer mortality. Lastly, in 2044, dietary esophageal cancer deaths and DALYs were predicted to increase by 192.62% and 170.28%, respectively, due to age structure (121.58% and 83.29%), mortality change (76.81% and 92.43%), and population size (–5.77% and –5.44%). In addition, dietary stomach cancer deaths and DALYs were predicted to increase by 118.1% and 54.08%, with age structure, mortality rate change, and population size accounting for 96.71% and 53.99%, 26.17% and 3.97%, and –4.78% and –3.88% of the change, respectively. </sec> <sec> <title>CONCLUSIONS</title> Although the predicted age-standardized rates of mortality and DALYs due to dietary GEC show downward trends, the absolute numbers are still predicted to increase in the next 25 years due to rapid population aging in China. </sec>" @default.
- W4366991112 created "2023-04-27" @default.
- W4366991112 creator A5065187980 @default.
- W4366991112 creator A5068325469 @default.
- W4366991112 creator A5049985178 @default.
- W4366991112 creator A5051895016 @default.
- W4366991112 creator A5067828178 @default.
- W4366991112 creator A5082759352 @default.
- W4366991112 date "2023-04-24" @default.
- W4366991112 modified "2023-09-23" @default.
- W4366991112 title "Burden of esophageal and stomach cancer attributable to dietary carcinogens from 1990 to 2019 and projections until 2044 in China: Population-Based Study (Preprint)" @default.
- W4366991112 cites W2019226655 @default.
- W4366991112 cites W2095725724 @default.
- W4366991112 cites W2097807154 @default.
- W4366991112 cites W2560322684 @default.
- W4366991112 cites W2585253120 @default.
- W4366991112 cites W2614986146 @default.
- W4366991112 cites W2789150338 @default.
- W4366991112 cites W2899736836 @default.
- W4366991112 cites W2930736180 @default.
- W4366991112 cites W2944635251 @default.
- W4366991112 cites W2980624194 @default.
- W4366991112 cites W2990992250 @default.
- W4366991112 cites W3033028222 @default.
- W4366991112 cites W3047587264 @default.
- W4366991112 cites W3086405286 @default.
- W4366991112 cites W3092849554 @default.
- W4366991112 cites W3092861045 @default.
- W4366991112 cites W3097925763 @default.
- W4366991112 cites W3108604333 @default.
- W4366991112 cites W3112957125 @default.
- W4366991112 cites W3128646645 @default.
- W4366991112 cites W3132016985 @default.
- W4366991112 cites W3134465190 @default.
- W4366991112 cites W3157531134 @default.
- W4366991112 cites W3213505086 @default.
- W4366991112 cites W3216362041 @default.
- W4366991112 cites W4200067338 @default.
- W4366991112 cites W4211128643 @default.
- W4366991112 cites W4224228275 @default.
- W4366991112 cites W4225407926 @default.
- W4366991112 cites W4248229791 @default.
- W4366991112 cites W4255154098 @default.
- W4366991112 cites W4291000118 @default.
- W4366991112 cites W4293704971 @default.
- W4366991112 cites W4293779645 @default.
- W4366991112 cites W4294754570 @default.
- W4366991112 cites W4310573433 @default.
- W4366991112 cites W4312211516 @default.
- W4366991112 cites W4321166054 @default.
- W4366991112 cites W4360611401 @default.
- W4366991112 doi "https://doi.org/10.2196/preprints.48449" @default.
- W4366991112 hasPublicationYear "2023" @default.
- W4366991112 type Work @default.
- W4366991112 citedByCount "0" @default.
- W4366991112 crossrefType "posted-content" @default.
- W4366991112 hasAuthorship W4366991112A5049985178 @default.
- W4366991112 hasAuthorship W4366991112A5051895016 @default.
- W4366991112 hasAuthorship W4366991112A5065187980 @default.
- W4366991112 hasAuthorship W4366991112A5067828178 @default.
- W4366991112 hasAuthorship W4366991112A5068325469 @default.
- W4366991112 hasAuthorship W4366991112A5082759352 @default.
- W4366991112 hasConcept C107130276 @default.
- W4366991112 hasConcept C121608353 @default.
- W4366991112 hasConcept C126322002 @default.
- W4366991112 hasConcept C144024400 @default.
- W4366991112 hasConcept C149923435 @default.
- W4366991112 hasConcept C2779742542 @default.
- W4366991112 hasConcept C2780664029 @default.
- W4366991112 hasConcept C2908647359 @default.
- W4366991112 hasConcept C3020448403 @default.
- W4366991112 hasConcept C71924100 @default.
- W4366991112 hasConcept C72563966 @default.
- W4366991112 hasConcept C73269764 @default.
- W4366991112 hasConcept C99454951 @default.
- W4366991112 hasConceptScore W4366991112C107130276 @default.
- W4366991112 hasConceptScore W4366991112C121608353 @default.
- W4366991112 hasConceptScore W4366991112C126322002 @default.
- W4366991112 hasConceptScore W4366991112C144024400 @default.
- W4366991112 hasConceptScore W4366991112C149923435 @default.
- W4366991112 hasConceptScore W4366991112C2779742542 @default.
- W4366991112 hasConceptScore W4366991112C2780664029 @default.
- W4366991112 hasConceptScore W4366991112C2908647359 @default.
- W4366991112 hasConceptScore W4366991112C3020448403 @default.
- W4366991112 hasConceptScore W4366991112C71924100 @default.
- W4366991112 hasConceptScore W4366991112C72563966 @default.
- W4366991112 hasConceptScore W4366991112C73269764 @default.
- W4366991112 hasConceptScore W4366991112C99454951 @default.
- W4366991112 hasLocation W43669911121 @default.
- W4366991112 hasOpenAccess W4366991112 @default.
- W4366991112 hasPrimaryLocation W43669911121 @default.
- W4366991112 hasRelatedWork W2009120897 @default.
- W4366991112 hasRelatedWork W2071508989 @default.
- W4366991112 hasRelatedWork W2092301989 @default.
- W4366991112 hasRelatedWork W2279587347 @default.
- W4366991112 hasRelatedWork W2303389690 @default.
- W4366991112 hasRelatedWork W2551703908 @default.
- W4366991112 hasRelatedWork W4210655555 @default.
- W4366991112 hasRelatedWork W4244864040 @default.
- W4366991112 hasRelatedWork W4382364663 @default.