Ontology highlight
ABSTRACT: Background
This study aims to present the trends of incidence and mortality of kidney cancer from 1990 to 2016 by age, gender, geographical region, regional, and sociodemographic index (SDI), and then forecast the future trends to 2030.Methods
Data of this study were gathered from the Global Burden of Disease Study (GBD), including 195 countries and territories, accounting for 21 regions. Over-time trends from 1990 to 2016 were analyzed by gender, geographical region, age range and SDI. Based on the big data, we forecasted the future trends to 2030 by ARIMA model. All the data were analyzed by R software (x64 version 3.5.1), SAS (version 9.3) and SPSS (version 22.0).Results
Globally, in 2016, there were 342,100 [95% uncertainty interval (UI), 330,759-349,934] incide
SUBMITTER: Cai Q
PROVIDER: S-EPMC7215038 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature