Abstract
Background
Bladder cancer is a leading cause of cancer-related deaths all over the world. Epidemiological studies of bladder cancer are therefore crucial for policy making. This study was carried out to describe the characteristics of changes in the incidence and mortality of bladder cancer from 1990 to 2016 by age group, gender, geographical region, and sociodemographic index (SDI) and to simultaneously project future trends up to 2030.
Methods
Incidence and mortality trends in bladder cancer from 1990 to 2016 were described based on data and methodologies from the Global Burden of Disease (GBD) Study. The data also allowed the future trends of bladder cancer incidence and mortality to be predicted by ARIMA model. Trends were analyzed by age group, gender, and SDI. Projections to 2030 were sub-analyzed by SDI countries. R software (x64 version 3.5.1), SAS (version 9.3), and SPSS (version 22.0) were used throughout the process.
Results
Globally, in 2016, there were 437,442 [95% uncertainty interval (UI), 426,709–447,912] new bladder cancer cases and 186,199 (95% UI, 180,453–191,686) bladder cancer-associated deaths. Between 1990 and 2016, changes in the age-standardized incidence rate (ASIR) of bladder cancer decreased by 5.91% from 7.11 (95% UI, 6.93–7.27) in 1990 to 6.69 (95% UI, 6.52–6.85) in 2016. The age-standardized death rate (ASDR) decreased from 3.58 (95% UI, 3.49–3.68) to 2.94 (95% UI, 2.85–3.03) over the same period of time. In future, the greatest occurrence of bladder cancer will be in high SDI countries, followed by high-middle SDI countries. Moreover, bladder cancer incidence rates may increase substantially in middle SDI countries, while the incidence rates will remain relatively stable for men and women in other SDI countries. From 2017 to 2030, bladder cancer deaths will continue to increase in low SDI countries, while deaths in other SDI countries will continue to decrease.
Conclusions
There was a regional difference in the incidence and mortality trends of bladder cancer between 1990 and 2016. Overall, the situation is not optimistic. From 2017 to 2030, the incidence of bladder cancer will continue to rise, especially in high and high-middle SDI countries, where decision-makers should propose appropriate policies on the screening and prevention of bladder cancer.
Keywords: Bladder cancer, incidence, mortality, over-time trends, projections
Introduction
Bladder cancer is one of the most common types of cancer and is a prominent cause of cancer-related deaths all over the world (1). Bladder cancer is more likely to affect older people and men (2), and along with the growing and ageing global population, the number of cancer-related deaths has dramatically increased, which in part can be attributed to its recurrence rate of up to 75% (1,3).
Due to international differences in the incidence and mortality of bladder cancer, the burden of bladder cancer is becoming more noticeable (4,5). Necessary data to inform health policies with respect to urologic cancer at a global level, including cancer control and implementation plans, are not widely available. This study therefore aims to describe the global burden of urologic cancer from 1990 to 2016 according to age, sex, region, and sociodemographic index (SDI) (a summary indicator of income per capita, educational attainment, and fertility), and then forecast worldwide bladder cancer incidence and mortality rates for the next 15 years. Understanding these factors is critical for providing detailed information on bladder cancer etiologies and their trends over time, without which targeted prevention strategies are impossible to design and evaluate, and for promoting strategic investments into research and clinical resources.
Methods
Methodology and research processes for the Global Burden of Disease (GBD) Study have been reported previously in many publications (6-11). Herein, we present methods for the incidence, mortality, trends, and 15-year prediction of bladder cancer from 1990 to 2030 based on the data collected from the GBD study. Our study complies with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER) and the detailed methodology also complies with the GATHER guidelines (12). Tables, which can be found in the Supplementary materials (Tables S1-S9), record the estimation steps and other detailed information about the methodology (7,13-15). The International Classification of Diseases 10 (ICD-10) codes corresponding to bladder cancer incidence and mortality are C67-C67.9, Z12.6-Z12.79, Z80.52, Z85.51 and C67-C67.9, D09.0, D30.3, D41.4-D41.8, D49.4, respectively.
Table S1. Sources for cancer incidence and mortality-to-incidence (MI) ratio data by country, year, and registry.
Location | Registry | Years available from registry | Years used for incidence | Years available for MI ratio | Years used for MI ratio |
---|---|---|---|---|---|
Algeria | Algiers | 1993–1997 | 5 | 1993–1997 | 0 |
Algeria | Batna | 2000–2006 | 7 | 2000–2006 | 0 |
Algeria | Oran | 2005–2006 | 2 | 2005–2006 | 0 |
Algeria | Setif | 1986–2007 | 18 | 1986–2007 | 0 |
Antilles except Aruba | Antilles except Aruba | 1973–1982 | 0 | NA | NA |
Argentina | Bahia Blanca | 1993–2007 | 15 | 1993–2007 | 0 |
Argentina | Concordia | 1990–1997 | 10 | 1990–1997 | 0 |
Argentina | Cordoba | 2003–2007 | 4 | 2004–2007 | 0 |
Argentina | Mendoza | 2003–2007 | 5 | 2003–2007 | 0 |
Argentina | Tierra del Fuego | 2003–2007 | 5 | 2003–2007 | 0 |
Australia | Capital Territory | 1978–2007 | 25 | 1983–2007 | 0 |
Australia | National Registry | 1982–2007 | 26 | 1968–2007 | 26 |
Australia | New South Wales | 1973–2007 | 25 | 1983–2007 | 0 |
Australia | Northern Territory | 1993–2007 | 10 | 1998–2007 | 0 |
Australia | Queensland | 1982–2007 | 15 | 1993–2007 | 0 |
Australia | South Australia | 1977–2007 | 31 | 1977–2007 | 0 |
Australia | Tasmania | 1978–2007 | 30 | 1978–2007 | 0 |
Australia | Victoria | 1982–2007 | 25 | 1983–2007 | 0 |
Australia | Western Australia | 1982–2007 | 25 | 1983–2007 | 0 |
Austria | National Registry | 1983–2010 | 31 | 1983–2010 | 7 |
Austria | Salzburg | NA | NA | 1999–2006 | 0 |
Austria | Tyrol | 1988–2007 | 0 | 1988–2007 | 0 |
Austria | Vorarlberg | 1993–2007 | 0 | 1993–2007 | 0 |
Bahrain | National Registry | 1998–2007 | 10 | 1998–2007 | 0 |
Belarus | National Registry | 1983–2007 | 25 | 1983–2007 | 0 |
Belgium | Antwerp | 1998–2002 | 5 | 1998–2002 | 0 |
Belgium | Flanders | 1998–2001 | 4 | 1998–2001 | 0 |
Belgium | Flanders except Limburg | 1997–1998 | 2 | 1997–1998 | 0 |
Belgium | Limburg | 1997–1998 | 2 | 1997–1998 | 0 |
Belgium | National Registry | 2003–2010 | 7 | 2003–2010 | 0 |
Bermuda | Bermuda | 1983–1987 | 5 | 1983–1987 | 0 |
Brazil | Aracaju | 1996–2012 | 17 | 1996–2012 | 0 |
Brazil | Barretos | 2008–2013 | 6 | 2008–2013 | 0 |
Brazil | Belem | 1989–2009 | 17 | 1989–2009 | 0 |
Brazil | Belo Horizonte | 2000–2008 | 9 | 2000–2008 | 0 |
Brazil | Brasilia | 1998–2001 | 4 | 1998–2001 | 0 |
Brazil | Campinas | 1991–2005 | 15 | 1991–2005 | 0 |
Brazil | Campo Grande | 2000–2009 | 6 | 2000–2009 | 0 |
Brazil | Cuiaba | 2000–2007 | 8 | 2000–2007 | 0 |
Brazil | Curitiba | 1998–2010 | 13 | 1998–2010 | 0 |
Brazil | Distrito Federal | 1999–2002 | 4 | 1999–2002 | 0 |
Brazil | Espirito Santo | 1997–2012 | 16 | 1997–2012 | 0 |
Brazil | Florianopolis | 2008–2012 | 5 | 2008–2012 | 0 |
Brazil | Fortaleza | 1978–2006 | 25 | 1978–2006 | 0 |
Brazil | Goiania | 1988–2009 | 22 | 1988–2009 | 0 |
Brazil | Jahu | 1996–2013 | 18 | 1996–2013 | 0 |
Brazil | Joao Pessoa | 1999–2010 | 12 | 1999–2010 | 0 |
Brazil | Manaus | 1999–2006 | 8 | 1999–2006 | 0 |
Brazil | MatoGrosso Interior | 2001–2005 | 5 | 2001–2005 | 0 |
Brazil | Natal | 1999–2005 | 7 | 1999–2005 | 0 |
Brazil | Palmas | 2000–2012 | 13 | 2000–2012 | 0 |
Brazil | Pocos de Caldas | 2007–2011 | 5 | 2007–2011 | 0 |
Brazil | Porto Alegre | 1979–2006 | 22 | 1979–2006 | 0 |
Brazil | Recife | 1968–2010 | 17 | 1968–2010 | 0 |
Brazil | Roraima | 2003–2010 | 8 | 2003–2010 | 0 |
Brazil | Salvador | 1996–2005 | 10 | 1996–2005 | 0 |
Brazil | Santos | 2008–2009 | 2 | 2008–2009 | 0 |
Brazil | Sao Paulo | 1969–2011 | 17 | 1969–2011 | 0 |
Brazil | Teresina | 2000–2006 | 7 | 2000–2006 | 0 |
Bulgaria | National Registry | 1993–2010 | 12 | 1993–2010 | 12 |
Canada | Alberta | 1960–2007 | 32 | 1960–2007 | 0 |
Canada | British Columbia | 1969–2007 | 32 | 1969–2007 | 0 |
Canada | Manitoba | 1958–2007 | 32 | 1958–2007 | 0 |
Canada | Maritime | 1969–1987 | 9 | 1969–1987 | 0 |
Canada | National Registry | 1978–2007 | 30 | 1978–2007 | 0 |
Canada | New Brunswick | 1962–2007 | 25 | 1962–2007 | 0 |
Canada | Newfoundland | 1969–2002 | 26 | 1969–2002 | 0 |
Canada | Newfoundland and Labrador | 1960–2007 | 9 | 1960–2007 | 0 |
Canada | Northwest Territories | 1983–2007 | 0 | 1983–2007 | 0 |
Canada | Northwest Territories and Yukon | 1973–1987 | 5 | 1973–1987 | 0 |
Canada | Nova Scotia | 1978–2007 | 20 | 1978–2007 | 0 |
Canada | Ontario | 1969–2007 | 23 | 1969–2007 | 0 |
Canada | Prince Edward Island | 1978–2007 | 16 | 1978–2007 | 0 |
Canada | Quebec | 1963–2007 | 13 | 1963–2007 | 0 |
Canada | Saskatchewan | 1960–2007 | 34 | 1960–2007 | 0 |
Canada | Yukon | 1983–2007 | 0 | 1983–2007 | 0 |
Chile | Antofagasta | 2003–2007 | 0 | 2003–2007 | 0 |
Chile | Bio Bio | 2003–2007 | 5 | 2003–2007 | 0 |
Chile | Los Rios | 2003–2007 | 5 | 2003–2007 | 0 |
Chile | National Registry | 1959–1961 | 0 | 1959–1961 | 0 |
Chile | Valdivia | 1998–2007 | 10 | 1998–2007 | 0 |
China | Anshan | 1998–2011 | 11 | 1998–2011 | 13 |
China | Baoding | 2009–2011 | 2 | 2009–2011 | 2 |
China | Beijing | 1990–2011 | 22 | 1990–2011 | 21 |
China | Beijing Rural Areas | 2011 | 0 | 2011 | 0 |
China | Beiliu | 2011 | 1 | 2011 | 1 |
China | Bengbu | 2011 | 1 | 2011 | 1 |
China | Benxi | 2003–2011 | 8 | 2003–2011 | 8 |
China | Bijiang District, Tongren | 2011 | 1 | 2011 | 1 |
China | Bincheng District, Binzhou | 2011 | 1 | 2011 | 1 |
China | Binghai | 2011 | 1 | 2011 | 1 |
China | Boli | 2011 | 1 | 2011 | 1 |
China | Cangwu | 2011 | 1 | 2011 | 1 |
China | Cangzhou | 2011 | 1 | 2011 | 1 |
China | Changfeng | 2011 | 1 | 2011 | 1 |
China | Changle | 1990–2011 | 21 | 1990–2011 | 21 |
China | Changning | 2011 | 1 | 2011 | 1 |
China | Changzhou | 2011 | 1 | 2011 | 1 |
China | Chifeng | 2009–2011 | 2 | 2009–2011 | 2 |
China | Chuzhou District, Huai’an | 2004–2007 | 3 | 2004–2007 | 0 |
China | Ci County | 1990–2009 | 23 | 1990–2009 | 12 |
China | Cili | 2011 | 1 | 2011 | 1 |
China | Cixi | 2011 | 1 | 2011 | 1 |
China | Cixian | 2011 | 1 | 2011 | 1 |
China | Daan | 2011 | 1 | 2011 | 1 |
China | Dafeng | 2003–2011 | 6 | 2003–2011 | 8 |
China | Dalian City | 1998–2011 | 12 | 1998–2011 | 13 |
China | Dancheng | 2011 | 1 | 2011 | 1 |
China | Dandong | 2008–2011 | 3 | 2008–2011 | 3 |
China | Daoli District, Harbin City | 2005–2011 | 5 | 2005–2011 | 6 |
China | Dawukou | 2011 | 1 | 2011 | 1 |
China | Dazhu | 2011 | 1 | 2011 | 1 |
China | Decheng District, Dezhou | 2011 | 1 | 2011 | 1 |
China | Dehui | 2009–2011 | 2 | 2009–2011 | 2 |
China | Dingan | 2011 | 1 | 2011 | 1 |
China | Donggang | 2009–2011 | 2 | 2009–2011 | 2 |
China | Donghai County | 2004–2011 | 3 | 2004–2011 | 2 |
China | Dunhuang | 2011 | 1 | 2011 | 1 |
China | Faku | 2011 | 1 | 2011 | 1 |
China | Feicheng | 1998–2011 | 13 | 1998–2011 | 13 |
China | Feidong | 2011 | 1 | 2011 | 1 |
China | Feixi County | 2009–2011 | 2 | 2009–2011 | 2 |
China | Fusui County | 1990–2011 | 14 | 1990–2011 | 8 |
China | Fuyuan | 2011 | 1 | 2011 | 1 |
China | Ganyu | 2004–2011 | 2 | 2004–2011 | 1 |
China | Ganzhou District, Zhangye | 2011 | 1 | 2011 | 1 |
China | Gaomi | 2011 | 1 | 2011 | 1 |
China | Gaotang | 2011 | 1 | 2011 | 1 |
China | Gejiu | 2004–2011 | 3 | 2004–2011 | 2 |
China | Gongan | 2011 | 1 | 2011 | 1 |
China | Guangrao | 2011 | 1 | 2011 | 1 |
China | Guangzhou City | 2000–2011 | 9 | 2000–2011 | 11 |
China | Guannan | 2011 | 1 | 2011 | 1 |
China | Guanyun County | 2004–2011 | 3 | 2004–2011 | 3 |
China | Guilin | 2011 | 1 | 2011 | 1 |
China | Guyuan | 2011 | 1 | 2011 | 1 |
China | Hai’an County | 2009–2011 | 2 | 2009–2011 | 2 |
China | Haimen | 2003–2011 | 7 | 2003–2011 | 8 |
China | Hainan | 2011 | 1 | 2011 | 1 |
China | Haining | 1998–2011 | 11 | 1998–2011 | 13 |
China | Hangzhou City | 2000–2011 | 9 | 2000–2011 | 11 |
China | Hanjiang District, Putian | 2011 | 1 | 2011 | 1 |
China | Hefei | 2011 | 1 | 2011 | 1 |
China | Hengdong County | 2009–2011 | 2 | 2009–2011 | 2 |
China | Hepu | 2011 | 1 | 2011 | 1 |
China | Hetian | 2011 | 1 | 2011 | 1 |
China | Hong Kong Special Administrative Region of China | 1974–2013 | 43 | 1974–2013 | 8 |
China | Hongta District, Yuxi | 2011 | 1 | 2011 | 1 |
China | Hongtong | 2011 | 1 | 2011 | 1 |
China | Hongze | 2011 | 1 | 2011 | 1 |
China | Huai’an District, Huai’an | 1998–2009 | 12 | 1998–2009 | 12 |
China | Huaiyin District, Huai’an | 2009–2011 | 2 | 2009–2011 | 2 |
China | Huangdao District, Qingdao | 2011 | 1 | 2011 | 1 |
China | Huian | 2011 | 1 | 2011 | 1 |
China | Huichuan District, Zunyi | 2011 | 1 | 2011 | 1 |
China | Huinong | 2011 | 1 | 2011 | 1 |
China | Huixian | 2011 | 1 | 2011 | 1 |
China | Huzhu | 2011 | 1 | 2011 | 1 |
China | Jiangmen | 2011 | 1 | 2011 | 1 |
China | Jianhu County | 2003–2011 | 6 | 2003–2011 | 8 |
China | Jianou | 2011 | 1 | 2011 | 1 |
China | Jianping | 2011 | 1 | 2011 | 1 |
China | Jiashan County | 1990–2011 | 22 | 1990–2011 | 21 |
China | Jiaxing | 2000–2011 | 10 | 2000–2011 | 11 |
China | Jilin | 2011 | 1 | 2011 | 1 |
China | Jinan | 2011 | 1 | 2011 | 1 |
China | Jingan | 2011 | 1 | 2011 | 1 |
China | Jingtai County | 2009–2011 | 2 | 2009–2011 | 2 |
China | Jingxian | 2011 | 1 | 2011 | 1 |
China | Jingyang | 2011 | 1 | 2011 | 1 |
China | Jinhu County | 2007–2011 | 3 | 2007–2011 | 4 |
China | Jintan District | 2003–2011 | 6 | 2003–2011 | 7 |
China | Jinzhai | 2011 | 1 | 2011 | 1 |
China | Jiulongpo District, Chongqing | 2004–2011 | 3 | 2004–2011 | 4 |
China | Jiyuan | 2011 | 1 | 2011 | 1 |
China | Junan | 2011 | 1 | 2011 | 1 |
China | Kaihua | 2011 | 1 | 2011 | 1 |
China | Kailu | 2011 | 1 | 2011 | 1 |
China | Kaiyang | 2011 | 1 | 2011 | 1 |
China | Kangping | 2011 | 1 | 2011 | 1 |
China | Kunes County | 2009 | 1 | 2009 | 1 |
China | Lanping | 2011 | 1 | 2011 | 1 |
China | Lanzhou | 2011 | 1 | 2011 | 1 |
China | Leishan | 2011 | 1 | 2011 | 1 |
China | Leshan | 2011 | 1 | 2011 | 1 |
China | Lhasa | 2011 | 1 | 2011 | 1 |
China | Liangzhou District | 2008–2011 | 3 | 2008–2011 | 3 |
China | Lianhu District, Xi’an | 2011 | 1 | 2011 | 1 |
China | Lianshui | 2011 | 1 | 2011 | 1 |
China | Lianyungang | 2004–2011 | 4 | 2004–2011 | 4 |
China | Lingbi | 2011 | 1 | 2011 | 1 |
China | Linhe District, Bayannaoer | 2011 | 1 | 2011 | 1 |
China | Linqu County | 1998–2011 | 11 | 1998–2011 | 13 |
China | Lintan | 2011 | 1 | 2011 | 1 |
China | Linxian | 2011 | 1 | 2011 | 1 |
China | Linzhou | 1990–2011 | 19 | 1990–2011 | 21 |
China | Liuzhou | 2009–2011 | 2 | 2009–2011 | 2 |
China | Liyang | 2011 | 1 | 2011 | 1 |
China | Longnan | 2011 | 1 | 2011 | 1 |
China | Longquanyi District, Chengdu | 2011 | 1 | 2011 | 1 |
China | Lujiang | 2011 | 1 | 2011 | 1 |
China | Luoshan | 2011 | 1 | 2011 | 1 |
China | Luoyang | 2011 | 1 | 2011 | 1 |
China | Lushan | 2011 | 1 | 2011 | 1 |
China | Ma’anshan | 2003–2011 | 6 | 2003–2011 | 8 |
China | Macao Special Administrative Region of China | 2003–2007 | 5 | 2003–2007 | 0 |
China | Macheng | 2011 | 1 | 2011 | 1 |
China | Maiji District, Tianshui | 2011 | 1 | 2011 | 1 |
China | Mayang | 2011 | 1 | 2011 | 1 |
China | Meixian | 2011 | 1 | 2011 | 1 |
China | Minhe | 2011 | 1 | 2011 | 1 |
China | Naidong | 2011 | 1 | 2011 | 1 |
China | Nangang District, Harbin City | 1992–2011 | 20 | 1992–2011 | 14 |
China | Nantong | 2011 | 1 | 2011 | 1 |
China | Neixiang | 2011 | 1 | 2011 | 1 |
China | Ningyang | 2011 | 1 | 2011 | 1 |
China | Nongqishi | 2011 | 1 | 2011 | 1 |
China | Pengzhou | 2011 | 1 | 2011 | 1 |
China | Pingluo | 2011 | 1 | 2011 | 1 |
China | Qianxi County | 2009–2011 | 2 | 2009–2011 | 2 |
China | Qidong County | 1983–2011 | 35 | 1983–2011 | 21 |
China | Qingdao | 2011 | 1 | 2011 | 1 |
China | Qinghe | 2011 | 1 | 2011 | 1 |
China | Qingpu | 2011 | 1 | 2011 | 1 |
China | Qingyang District, Chengdu | 2009–2011 | 2 | 2009–2011 | 2 |
China | Qinhuangdao | 2011 | 1 | 2011 | 1 |
China | Qionghai | 2011 | 1 | 2011 | 1 |
China | Renhe District, Panzhihua | 2011 | 1 | 2011 | 1 |
China | Rushan | 2011 | 1 | 2011 | 1 |
China | Sanmenxia | 2011 | 1 | 2011 | 1 |
China | Sanya | 2011 | 1 | 2011 | 1 |
China | Shangdong | 1993–1997 | 0 | NA | NA |
China | Shanggao | 2011 | 1 | 2011 | 1 |
China | Shanghai | 1975–2011 | 31 | 1975–2011 | 21 |
China | Shangyu | 2009–2011 | 2 | 2009–2011 | 2 |
China | Shangzhi | 2009–2011 | 2 | 2009–2011 | 2 |
China | Shangzhou District, Shangluo | 2011 | 1 | 2011 | 1 |
China | Shapingba District, Chongqing | 2011 | 1 | 2011 | 1 |
China | Shenqiu | 2011 | 1 | 2011 | 1 |
China | Shenyang City | 2003–2011 | 7 | 2003–2011 | 8 |
China | Shenzen City | 2004–2011 | 2 | 2004–2011 | 1 |
China | Shexian County | 2003–2011 | 8 | 2003–2011 | 8 |
China | Sheyang County | 2008–2011 | 3 | 2008–2011 | 3 |
China | Shifeng District, Zhuzhou | 2011 | 1 | 2011 | 1 |
China | Shihezi | 2011 | 1 | 2011 | 1 |
China | Shouxian | 2011 | 1 | 2011 | 1 |
China | Shouyang | 2011 | 1 | 2011 | 1 |
China | Sihui | 1998–2011 | 11 | 1998–2011 | 13 |
China | Suzhou | 2006–2011 | 4 | 2006–2011 | 5 |
China | Taixing | 2004–2011 | 4 | 2004–2011 | 6 |
China | Tengchong | 2011 | 1 | 2011 | 1 |
China | Tengzhou | 2011 | 1 | 2011 | 1 |
China | Tianchang | 2011 | 1 | 2011 | 1 |
China | Tianjin | 1981–2011 | 22 | 1981–2011 | 16 |
China | Tianjin Rural Areas | 2011 | 0 | 2011 | 0 |
China | Tianshan District, Urumqi | 2011 | 1 | 2011 | 1 |
China | Tong’an District, Xiamen | 2011 | 1 | 2011 | 1 |
China | Tongguan | 2011 | 1 | 2011 | 1 |
China | Tonghua | 2011 | 1 | 2011 | 1 |
China | Tongling | 2008–2011 | 3 | 2008–2011 | 3 |
China | Wanzhouqu District, Chongqing | 2011 | 1 | 2011 | 1 |
China | Wenshang County | 2009–2011 | 2 | 2009–2011 | 2 |
China | Wuan | 2011 | 1 | 2011 | 1 |
China | Wufeng | 2011 | 1 | 2011 | 1 |
China | Wuhan City | 1990–2011 | 22 | 1990–2011 | 18 |
China | Wuhu | 2011 | 1 | 2011 | 1 |
China | Wuning | 2011 | 1 | 2011 | 1 |
China | Wuwei | 2004 | 1 | 2004 | 0 |
China | Wuxi | 2006–2011 | 2 | 2006–2011 | 2 |
China | Xiamen City | 2009–2011 | 2 | 2009–2011 | 2 |
China | Xiang’an District, Xiamen | 2011 | 1 | 2011 | 1 |
China | Xiangfang District, Harbin | 2011 | 1 | 2011 | 1 |
China | Xianju County | 2009–2011 | 2 | 2009–2011 | 2 |
China | Xilinhaote | 2011 | 1 | 2011 | 1 |
China | Xinghualing District, Taiyuan | 2011 | 1 | 2011 | 1 |
China | Xining | 2009–2011 | 2 | 2009–2011 | 2 |
China | Xinyuan | 2011 | 1 | 2011 | 1 |
China | Xinzhou District, Shangrao | 2011 | 1 | 2011 | 1 |
China | Xiping County | 2009–2011 | 2 | 2009–2011 | 2 |
China | Xuanwei | 2011 | 1 | 2011 | 1 |
China | Xuyi County | 2009–2011 | 2 | 2009–2011 | 2 |
China | Xuzhou | 2011 | 1 | 2011 | 1 |
China | Yakeshi | 2011 | 1 | 2011 | 1 |
China | Yancheng | 2011 | 1 | 2011 | 1 |
China | Yancheng District, Luohe | 2011 | 1 | 2011 | 1 |
China | Yangcheng County | 2003–2011 | 6 | 2003–2011 | 8 |
China | Yangquan | 2009–2011 | 2 | 2009–2011 | 2 |
China | Yangshan | 2011 | 1 | 2011 | 1 |
China | Yangzhong | 1998–2011 | 12 | 1998–2011 | 13 |
China | Yanji | 2009–2011 | 2 | 2009–2011 | 2 |
China | Yanshi | 2009–2011 | 2 | 2009–2011 | 2 |
China | Yantai | 2011 | 1 | 2011 | 1 |
China | Yanting County | 1998–2011 | 10 | 1998–2011 | 13 |
China | Yinchuan | 2011 | 1 | 2011 | 1 |
China | Yingdong District, Fuyang | 2011 | 1 | 2011 | 1 |
China | Yingshan | 2011 | 1 | 2011 | 1 |
China | Yiyuan | 2011 | 1 | 2011 | 1 |
China | Yongding | 2011 | 1 | 2011 | 1 |
China | Yongqiao District, Suzhou | 2011 | 1 | 2011 | 1 |
China | Yuanhui District, Luohe | 2011 | 1 | 2011 | 1 |
China | Yuanqu | 2011 | 1 | 2011 | 1 |
China | Yucheng | 2011 | 1 | 2011 | 1 |
China | Yuci District, Jinzhong | 2011 | 1 | 2011 | 1 |
China | Yueyanglou | 2011 | 1 | 2011 | 1 |
China | Yunmeng County | 2009–2011 | 2 | 2009–2011 | 2 |
China | Yuzhong District, Chongqing | 2011 | 1 | 2011 | 1 |
China | Yuzhou | 2011 | 1 | 2011 | 1 |
China | Zanhuang | 2011 | 1 | 2011 | 1 |
China | Zhanggong District | 2009 | 1 | 2009 | 1 |
China | Zhanggong District, Ganzhou | 2011 | 1 | 2011 | 1 |
China | Zhangqiu | 2011 | 1 | 2011 | 1 |
China | Zhaoling District, Luohe | 2011 | 1 | 2011 | 1 |
China | Zhaoyuan | 2011 | 1 | 2011 | 1 |
China | Zhongshan | 1998–2011 | 12 | 1998–2011 | 13 |
China | Zhongshan County | 2004–2007 | 3 | 2004–2007 | 0 |
China | Zhongwei | 2011 | 1 | 2011 | 1 |
China | Zhongxiang | 2011 | 1 | 2011 | 1 |
China | Zhuanghe | 2009–2011 | 2 | 2009–2011 | 2 |
China | Zhuhai | 2011 | 1 | 2011 | 1 |
China | Ziliujing District | 2009 | 1 | 2009 | 1 |
China | Ziliujing District, Zigong | 2011 | 1 | 2011 | 1 |
China | Zixing | 2011 | 1 | 2011 | 1 |
China | Zoucheng | 2011 | 1 | 2011 | 1 |
Colombia | Bucaramanga | 2003–2007 | 5 | 2003–2007 | 0 |
Colombia | Cali | 1962–2007 | 40 | 1962–2007 | 0 |
Colombia | Manizales | 2003–2007 | 5 | 2003–2007 | 0 |
Colombia | National Registry | 2003–2010 | 0 | 2003–2010 | 0 |
Colombia | Pasto | 2003–2007 | 5 | 2003–2007 | 0 |
Costa Rica | National Registry | 1980–2011 | 33 | 1980–2013 | 0 |
Cote d’Ivoire | National Registry | 1995–1997 | 3 | 1995–1997 | 0 |
Croatia | National Registry | 1988–2010 | 23 | 1988–2010 | 8 |
Cuba | National Registry | 1968–1987 | 11 | 1968–1986 | 0 |
Cuba | Villa Clara | 1995–2007 | 7 | 1995–2007 | 0 |
Cyprus | National Registry | 1998–2007 | 9 | 1998–2007 | 4 |
Czech Republic | National Registry | 1983–2010 | 27 | 1983–2010 | 5 |
Denmark | National Registry | 1953–2014 | 50 | 1953–2014 | 35 |
Ecuador | Cuenca | 2003–2007 | 5 | 2003–2007 | 0 |
Ecuador | Quito | 1985–2007 | 25 | 1985–2007 | 0 |
Egypt | Aswan | 2008 | 1 | 2008 | 0 |
Egypt | Damietta | 2009 | 1 | 2009 | 0 |
Egypt | Gharbiah | 1999–2007 | 9 | 1999–2007 | 0 |
Egypt | Minia | 2009 | 1 | 2009 | 0 |
Estonia | National Registry | 1968–2011 | 44 | 1968–2009 | 5 |
Fiji | National Registry | 1998–2010 | 13 | 1998–2010 | 11 |
Finland | National Registry | 1953–2014 | 50 | 1953–2014 | 35 |
France | Bas Rhin | 1975–2007 | 33 | 1975–2007 | 0 |
France | Calvados | 1978–2007 | 30 | 1978–2007 | 0 |
France | Calvados Digestive | 1978–2009 | 6 | 1978–2009 | 0 |
France | Cote d’Or | 1980–2009 | 30 | 1980–2009 | 0 |
France | Doubs | 1977–2009 | 36 | 1977–2009 | 0 |
France | Finistere Digestive | 1984–2009 | 26 | 1984–2009 | 0 |
France | Haut Rhin | 1988–2009 | 21 | 1988–2009 | 0 |
France | Herault | 1987–2009 | 26 | 1987–2009 | 0 |
France | Isere | 1979–2009 | 30 | 1979–2009 | 0 |
France | Loire Atlantique | 1991–2009 | 18 | 1991–2009 | 0 |
France | Manche | 1994–2009 | 19 | 1994–2009 | 0 |
France | Nord | 2005–2009 | 3 | 2005–2009 | 0 |
France | Normandy | 2002–2009 | 8 | 2002–2009 | 0 |
France | Somme | 1982–2009 | 27 | 1982–2009 | 0 |
France | Tarn | 1982–2009 | 27 | 1982–2009 | 0 |
France | Vendee | 1998–2007 | 10 | 1998–2007 | 0 |
French Polynesia | French Polynesia | 1988–2002 | 0 | NA | NA |
Germany | Bavaria | 2002–2007 | 0 | 2002–2007 | 0 |
Germany | Berlin | 1998–2007 | 2 | 1998–2007 | 0 |
Germany | Brandenburg | 1998–2007 | 2 | 1998–2007 | 0 |
Germany | Bremen | 2000–2008 | 0 | 2000–2008 | 0 |
Germany | Eastern States (former GDR) | 1964–1989 | 22 | 1964–1989 | 0 |
Germany | Free State of Saxony | 1998–2007 | 2 | 1998–2007 | 0 |
Germany | Hamburg | 1969–2009 | 16 | 1969–2010 | 2 |
Germany | Lower Saxony | 2003–2007 | 0 | 2003–2007 | 0 |
Germany | Mecklenburg | 1998–2007 | 2 | 1998–2007 | 0 |
Germany | Mecklenburg–West Pomerania | 1998–2007 | 0 | 1998–2007 | 0 |
Germany | Munich | 1998–2007 | 0 | 1998–2007 | 0 |
Germany | National Registry | 2000–2010 | 11 | 2000–2010 | 11 |
Germany | North Rhine Westphalia | 1998–2007 | 2 | 1994–2007 | 2 |
Germany | Rhineland Palatinate | 2000–2007 | 0 | 2000–2007 | 0 |
Germany | Saarland | 1968–2007 | 30 | 1968–2007 | 30 |
Germany | Saxony–Anhalt | 1998–2007 | 2 | 1998–2007 | 0 |
Germany | Schleswig Holstein | 1998–2007 | 2 | 1998–2007 | 2 |
Germany | Thuringen | 1998–2007 | 2 | 1998–2007 | 0 |
Germany | Westphalia | 1998–2007 | 0 | 1998–2007 | 0 |
Greece | National Registry | 1990–1991 | 0 | 1990–1991 | 0 |
Greenland | Greenland | 1980–2014 | 35 | 1980–2014 | 32 |
Grenada | St. George’s Central Hospital | 1996–2000 | 5 | 1996–2000 | 0 |
Guinea | Conakry | 1992–1995 | 4 | 1992–1995 | 0 |
Hungary | County Szabolcs-Szatmar | 1962–1987 | 18 | 1962–1987 | 0 |
Hungary | County Vas | 1962–1987 | 20 | 1962–1987 | 0 |
Hungary | Miskolc | 1962–1966 | 0 | 1962–1966 | 0 |
Hungary | National Registry | 2001–2011 | 11 | 2001–2011 | 0 |
Iceland | National Registry | 1955–2014 | 50 | 1955–2014 | 35 |
India | Ahmedabad | 1983–2005 | 12 | NA | NA |
India | Ahmedabad Rural | 2006–2010 | 5 | NA | NA |
India | Ahmedabad Urban | 2006–2013 | 7 | NA | NA |
India | Aizawl | 2005–2014 | 5 | NA | NA |
India | Aurangabad | 2005–2014 | 9 | NA | NA |
India | Bangalore | 1982–2012 | 24 | NA | NA |
India | Barshi Expanded | 2009–2012 | 2 | NA | NA |
India | Barshi Rural | 1988–2014 | 20 | NA | NA |
India | Bhopal | 2004–2013 | 11 | NA | NA |
India | Cachar | 2007–2014 | 7 | NA | NA |
India | Chandigarh Union Territory | 2013 | 1 | NA | NA |
India | Chennai | 1982–2013 | 34 | NA | NA |
India | Delhi | 1993–2012 | 21 | NA | NA |
India | Dibrugarh | 2005–2014 | 11 | NA | NA |
India | DindigulAmbilikkai | 2003–2013 | 7 | NA | NA |
India | Imphal | 2005–2014 | 5 | NA | NA |
India | Kamrup Urban | 2005–2014 | 11 | NA | NA |
India | Karunagappally | 1991–2007 | 17 | NA | NA |
India | Kolkata | 2005–2012 | 6 | NA | NA |
India | Kollam | 2006–2014 | 8 | NA | NA |
India | Manipur | 2006–2010 | 5 | NA | NA |
India | Manipur ExclImphal West | 2009–2014 | 5 | NA | NA |
India | Mansa District | 2013 | 1 | NA | NA |
India | Meghalaya | 2010–2014 | 5 | NA | NA |
India | Mizoram | 2003–2010 | 10 | NA | NA |
India | Mizoram ExclAizawl | 2005–2014 | 5 | NA | NA |
India | Mumbai | 1964–2012 | 50 | NA | NA |
India | Nagaland | 2010–2014 | 4 | NA | NA |
India | Nagpur | 1980–2013 | 20 | NA | NA |
India | NaharlagunExclPapum Pare | 2012–2014 | 3 | NA | NA |
India | Papum Pare | 2012–2014 | 3 | NA | NA |
India | Pasighat | 2012–2014 | 3 | NA | NA |
India | Patiala District | 2012–2014 | 3 | NA | NA |
India | Pune | 1973–2013 | 32 | NA | NA |
India | S.A.S Nagar District | 2013 | 1 | NA | NA |
India | Sangrur District | 2013 | 1 | NA | NA |
India | Sikkim | 2003–2014 | 14 | NA | NA |
India | Silchar | 2005–2006 | 2 | NA | NA |
India | Tamil Nadu | 2012–2013 | 2 | NA | NA |
India | Tripura | 2010–2014 | 4 | NA | NA |
India | Trivandrum | 1991–2014 | 21 | NA | NA |
India | Wardha | 2010–2014 | 5 | NA | NA |
Iran | Ardabil | 1985–2008 | 8 | 1985–2008 | 0 |
Iran | Golestan | 1996–2007 | 8 | 1996–2007 | 0 |
Iran | National Registry | 2003–2007 | 8 | 2003–2007 | 0 |
Iraq | National Registry | 2007–2011 | 3 | 2007–2011 | 0 |
Ireland | National Registry | 1994–2010 | 16 | 1994–2010 | 0 |
Ireland | Southern Ireland | 1980–1992 | 12 | 1980–1992 | 0 |
Israel | National Registry | 1960–2010 | 13 | 1960–2010 | 0 |
Italy | Alto Adige | 2003–2006 | 4 | 2003–2006 | 0 |
Italy | Biella | 1995–2007 | 13 | 1995–2007 | 0 |
Italy | Brescia | 1999–2007 | 7 | 1999–2006 | 0 |
Italy | Catania and Messina | 2003–2005 | 3 | 2003–2005 | 0 |
Italy | Catanzaro | 2003–2007 | 5 | 2003–2007 | 0 |
Italy | Como | 2003–2007 | 5 | 2003–2007 | 0 |
Italy | Ferrara | 1991–2007 | 17 | 1991–2007 | 0 |
Italy | Florence | 1985–2002 | 18 | 1985–2002 | 0 |
Italy | Florence and Prato | 1985–2007 | 21 | 1985–2005 | 0 |
Italy | Friuli Venezia Giulia | 2003–2007 | 5 | 2003–2007 | 0 |
Italy | Genoa | 1986–2007 | 18 | 1986–2006 | 0 |
Italy | Latina | 1983–2007 | 12 | 1983–2007 | 0 |
Italy | Lecco | 2003–2007 | 5 | 2003–2007 | 0 |
Italy | Macerata | 1991–2000 | 10 | 1991–2000 | 0 |
Italy | Mantua | 2003–2007 | 3 | 2003–2005 | 0 |
Italy | Milan | 1999–2007 | 8 | 1999–2006 | 0 |
Italy | Modena | 1988–2007 | 23 | 1988–2007 | 0 |
Italy | Naples | 1998–2007 | 10 | 1998–2007 | 0 |
Italy | National Registry | 2006–2009 | 4 | 2006–2009 | 4 |
Italy | North East Italy | 1995–2002 | 8 | 1995–2002 | 0 |
Italy | Nuoro | 2003–2007 | 5 | 2003–2007 | 0 |
Italy | Palermo | 2003–2007 | 4 | 2003–2006 | 0 |
Italy | Parma | 1978–2007 | 30 | 1978–2007 | 0 |
Italy | Ragusa | 1978–2007 | 31 | 1981–2007 | 0 |
Italy | Reggio Emilia | 1998–2007 | 10 | 1998–2007 | 0 |
Italy | Romanga | 1985–2007 | 22 | 1986–2007 | 0 |
Italy | Salerno | 1998–2007 | 9 | 1998–2007 | 0 |
Italy | Sassari | 1993–2007 | 15 | 1993–2007 | 0 |
Italy | Sondrio | 1998–2007 | 14 | 1998–2007 | 0 |
Italy | South Lombard | 2003–2005 | 3 | 2003–2005 | 0 |
Italy | South Tyrol | 2003–2007 | 0 | NA | NA |
Italy | Syracuse | 1999–2007 | 9 | 1999–2007 | 0 |
Italy | Torino | 1984–2007 | 23 | 1985–2007 | 0 |
Italy | Trapani | 2003–2006 | 4 | 2003–2006 | 0 |
Italy | Trento | 2003–2006 | 4 | 2003–2006 | 0 |
Italy | Trieste | 1983–1992 | 6 | 1984–1992 | 0 |
Italy | Umbria | 1994–2007 | 13 | 1994–2007 | 1 |
Italy | Varese | 1976–2007 | 32 | 1976–2007 | 0 |
Italy | Veneto | 1988–2007 | 17 | 1988–2006 | 0 |
Jamaica | National Registry | 1958–2007 | 25 | 1958–2007 | 0 |
Japan | Aichi | 1998–2007 | 11 | 1998–2007 | 1 |
Japan | Fukui | 1998–2007 | 10 | 1998–2007 | 0 |
Japan | Fukuoka | 1974–1975 | 2 | 1974–1975 | 0 |
Japan | Hiroshima | 1978–2007 | 28 | 1978–2007 | 0 |
Japan | Miyagi | 1959–2007 | 35 | 1959–2007 | 0 |
Japan | Nagasaki | 1973–2007 | 35 | 1973–2007 | 0 |
Japan | National Registry | 1975–2010 | 36 | 1958–2013 | 36 |
Japan | Niigata | 2003–2007 | 5 | 2003–2007 | 0 |
Japan | Okayama | 1966–1969 | 0 | 1966–1969 | 0 |
Japan | Osaka | 1963–2007 | 38 | 1963–2007 | 0 |
Japan | Saga | 1984–2007 | 18 | 1984–2007 | 0 |
Japan | Yamagata | 1983–2002 | 23 | 1983–2002 | 0 |
Jordan | National Registry | 2001–2008 | 8 | 2001–2008 | 0 |
Kenya | Nairobi | 2000–2002 | 3 | 2000–2002 | 0 |
Kuwait | National Registry | 1979–2007 | 28 | 1979–2007 | 0 |
Kyrgyzstan | National Registry | 1986–1987 | 2 | 1986–1987 | 0 |
La Martinique | La Martinique | 1981–2002 | 0 | NA | NA |
La Reunion | La Reunion | 1988–1994 | 0 | NA | NA |
Latvia | National Registry | 1983–2007 | 24 | 1983–2007 | 5 |
Lebanon | National Registry | 1998–2007 | 4 | 1998–2007 | 0 |
Libya | Benghazi | 2003–2005 | 3 | 2003–2005 | 0 |
Lithuania | National Registry | 1978–2011 | 33 | 1978–2011 | 2 |
Malawi | Blantyre | 1994–2007 | 10 | 1994–2007 | 0 |
Malaysia | National Registry | 2003 | 1 | 2003 | 0 |
Malaysia | Penang | 1998–2007 | 9 | 1998–2007 | 0 |
Malaysia | Sarawak | 1998–2002 | 5 | 1998–2002 | 0 |
Mali | Bamako | 1987–1996 | 11 | 1987–1996 | 0 |
Malta | National Registry | 1969–2010 | 27 | 1969–2010 | 15 |
Mongolia | National Registry | 2003–2007 | 0 | 2003–2007 | 0 |
Morocco | Greater Casablanca | 2004 | 1 | 2004 | 0 |
Mozambique | Lourenco Marques | 1956–1960 | 0 | 1956–1960 | 0 |
Namibia | National Registry | 2000–2009 | 10 | 2000–2009 | 0 |
Netherlands | Eindhoven | 1973–2007 | 27 | 1973–2007 | 0 |
Netherlands | Maastricht | 1986–2002 | 3 | 1986–2002 | 0 |
Netherlands | National Registry | 1989–2015 | 19 | 1989–2007 | 0 |
Netherlands | Three Provinces | 1960–1962 | 0 | 1960–1962 | 0 |
New Zealand | National Registry | 1968–2014 | 32 | 1983–2014 | 5 |
Nigeria | Calabar | 2009–2013 | 5 | 2009–2013 | 0 |
Nigeria | Ibadan | 1960–1969 | 0 | 1960–1969 | 0 |
Nigeria | Midwestern Nigeria | NA | NA | 2008–2009 | 0 |
Norway | National Registry | 1953–2014 | 50 | 1953–2014 | 35 |
Oman | National Registry | 1993–2012 | 20 | 1993–2012 | 0 |
Pakistan | South Karachi | 1995–2002 | 8 | 1995–2002 | 0 |
Palestine | West Bank | 2010–2011 | 2 | 2010–2011 | 0 |
Panama | National Registry | 1988–2011 | 23 | 1988–2011 | 12 |
Paraguay | Asuncion Region | 1988–1989 | 2 | 1988–1989 | 0 |
Peru | Lima | 1990–1991 | 2 | 1990–1991 | 0 |
Peru | Trujillo | 1984–2002 | 19 | 1984–2002 | 1 |
Philippines | Manila | 1983–2007 | 25 | 1983–2007 | 0 |
Philippines | Rizal | 1978–2007 | 20 | 1978–2007 | 0 |
Poland | Cieszyn | 1968–1977 | 5 | 1973–1977 | 0 |
Poland | Cieszyn and NowySacz | 1968–1972 | 5 | 1968–1972 | 0 |
Poland | Cracow | 1968–2006 | 26 | 1973–2006 | 0 |
Poland | Cracow City and District | 1965–1972 | 5 | 1965–1972 | 0 |
Poland | Four Rural Areas | 1965–1966 | 0 | 1965–1966 | 0 |
Poland | Katowice | 1965–1977 | 5 | 1965–1974 | 0 |
Poland | Kielce | 1988–2007 | 13 | 1988–2007 | 0 |
Poland | Lower Silesia | 1984–2007 | 14 | 1984–2007 | 0 |
Poland | National Registry | 1999–2011 | 13 | 1999–2011 | 13 |
Poland | NowySacz | 1973–1986 | 13 | 1973–1986 | 0 |
Poland | Opole | 1985–1987 | 3 | 1985–1987 | 0 |
Poland | Rzeszow | 2003–2007 | 0 | 2003–2007 | 0 |
Poland | Warsaw | 1988–2002 | 11 | 1988–2002 | 0 |
Poland | Warsaw Rural | 1968–1987 | 15 | 1968–1987 | 0 |
Poland | Warsaw Urban | 1965–2002 | 27 | 1965–2002 | 0 |
Portugal | Azores | 1997–2011 | 14 | 1981–2012 | 15 |
Portugal | Centre | 2003–2007 | 5 | 2003–2007 | 5 |
Portugal | North Portugal | 2000–2006 | 7 | 2000–2006 | 7 |
Portugal | Porto | 1998–2002 | 5 | 1998–2002 | 0 |
Portugal | South Portugal | 1998–2007 | 10 | 1998–2007 | 0 |
Portugal | Vila Nova de Gaia | 1983–1997 | 10 | 1983–1997 | 0 |
Puerto Rico | National Registry | NA | 26 | NA | NA |
Qatar | National Registry | 2003–2007 | 5 | 2003–2007 | 0 |
Romania | Banat Region | 1967 | 0 | 1967 | 0 |
Romania | Cluj | 2007 | 1 | 2007 | 1 |
Romania | County Cluj | 1974–1987 | 14 | 1974–1987 | 0 |
Romania | County Timis | 1970–1972 | 3 | 1970–1972 | 0 |
Romania | Timisoara | 2008 | 1 | 2008 | 0 |
Russia | St Petersburg | 1983–2007 | 19 | 1983–2007 | 0 |
Samoa | National Registry | 1980–1988 | 9 | 1980–1988 | 0 |
Saudi Arabia | National Registry | 1994–2012 | 10 | 1994–2012 | 0 |
Saudi Arabia | Riyadh | 2003–2007 | 5 | 2003–2007 | 0 |
Senegal | Dakar | 1969–1974 | 6 | 1969–1974 | 0 |
Serbia | Central Serbia | 2003–2007 | 4 | 2003–2007 | 5 |
Serbia | National Registry | 1999–2002 | 4 | 1999–2002 | 0 |
Serbia | Vojvodina | 1988–1997 | 10 | 1988–1997 | 0 |
Seychelles | National Registry | 2009–2011 | 3 | 2009–2011 | 0 |
Singapore | National Registry | 1950–2008 | 44 | 1950–2008 | 0 |
Slovakia | National Registry | 1968–2007 | 42 | 1968–2010 | 30 |
Slovenia | National Registry | 1956–2010 | 49 | 1956–2010 | 8 |
South Africa | Johannesburg, Bantu | 1953–1955 | 0 | 1953–1955 | 0 |
South Africa | National Registry | 2003–2011 | 4 | 2003–2011 | 0 |
South Africa | PROMEC | 1998–2007 | 10 | 1998–2007 | 0 |
South Korea | Busan | 1996–2007 | 2 | 1996–2007 | 0 |
South Korea | Daegu | 1997–2007 | 2 | 1997–2007 | 0 |
South Korea | Daejeon | 1998–2007 | 0 | 1998–2007 | 0 |
South Korea | Gwangju | 1998–2007 | 0 | 1998–2007 | 0 |
South Korea | Incheon | 1998–2007 | 0 | 1998–2007 | 0 |
South Korea | Jejudo | 2000–2007 | 3 | 2000–2007 | 0 |
South Korea | Kangwha County | 1986–1997 | 12 | 1986–1997 | 0 |
South Korea | National Registry | 1999–2012 | 12 | 1999–2012 | 0 |
South Korea | Seoul | 1993–2007 | 5 | 1993–2007 | 0 |
South Korea | Ulsan | 1999–2007 | 0 | 1999–2007 | 0 |
Spain | Albacete | 1991–2007 | 16 | 1991–2007 | 6 |
Spain | Asturias | 1988–2007 | 17 | 1988–2007 | 5 |
Spain | Balears | 1988–2005 | 18 | 1988–2005 | 0 |
Spain | Basque Country | 1986–2007 | 20 | 1986–2008 | 4 |
Spain | Canary Islands | 1993–2006 | 10 | 1993–2006 | 0 |
Spain | Ciudad Real | 2004–2007 | 4 | 2004–2007 | 0 |
Spain | Cuenca | 1993–2007 | 15 | 1993–2007 | 5 |
Spain | Girona | 1980–2007 | 27 | 1980–2008 | 23 |
Spain | Granada | 1985–2007 | 22 | 1985–2007 | 23 |
Spain | La Rioja | 1993–2007 | 12 | 1993–2007 | 13 |
Spain | Mallorca | 1988–2007 | 14 | 1988–2007 | 0 |
Spain | Murcia | 1983–2007 | 24 | 1983–2007 | 25 |
Spain | Navarra | 1973–2007 | 32 | 1973–2008 | 31 |
Spain | Tarragona | 1980–2007 | 25 | 1980–2007 | 24 |
Spain | Zaragoza | 1968–2000 | 33 | 1968–2000 | 0 |
Sri Lanka | National Registry | 2001–2005 | 6 | 2001–2005 | 0 |
Sweden | National Registry | 1958–2014 | 50 | 1958–2014 | 35 |
Sweden | Stockholm | 1990–2010 | 21 | 1990–2010 | 0 |
Sweden | Sweden except Stockholm | 1990–2010 | 21 | 1990–2010 | 0 |
Switzerland | Basel | 1981–2007 | 7 | 1981–2007 | 0 |
Switzerland | Geneva | 1970–2008 | 19 | 1970–2008 | 29 |
Switzerland | Graubunden | 1989–1997 | 0 | 1989–1997 | 0 |
Switzerland | Graubunden and Glarus | 1989–2009 | 0 | 1980–2009 | 20 |
Switzerland | National Registry | 1986–2013 | 25 | 1989–2013 | 0 |
Switzerland | Neuchatel | 1974–2007 | 13 | 1974–2008 | 5 |
Switzerland | St Gallen – Appenzell | 1980–2009 | 9 | 1980–2009 | 29 |
Switzerland | Ticino | 1996–2007 | 0 | 1996–2007 | 0 |
Switzerland | Valais | 1989–2007 | 0 | 1989–2007 | 0 |
Switzerland | Vaud | 1975–2007 | 13 | 1975–2008 | 5 |
Switzerland | Zurich | 1980–2009 | 9 | 1980–2009 | 0 |
Taiwan | National Registry | 1980–2007 | 28 | 1980–2007 | 28 |
Thailand | Bangkok | 1995–2007 | 11 | 1995–2007 | 0 |
Thailand | Chiang Mai | 1983–2007 | 29 | 1983–2007 | 0 |
Thailand | Chonburi | 2001–2007 | 8 | 2001–2007 | 0 |
Thailand | KhonKaen | 1988–2007 | 19 | 1988–2007 | 0 |
Thailand | Lampang | 1993–2007 | 18 | 1993–2007 | 0 |
Thailand | Lop Buri | 2001–2003 | 3 | 2001–2003 | 0 |
Thailand | NakhonPhanom | 2001–2003 | 3 | 2001–2003 | 0 |
Thailand | PrachuapKhiri | 2001–2003 | 3 | 2001–2003 | 0 |
Thailand | Rayong | 2001–2003 | 3 | 2001–2003 | 0 |
Thailand | Songkhla | 1993–2007 | 16 | 1993–2007 | 0 |
Thailand | SuratThani | 2001–2003 | 3 | 2001–2003 | 0 |
Thailand | UbonRatchathani | 2001–2003 | 3 | 2001–2003 | 0 |
Thailand | UdonThani | 2001–2003 | 3 | 2001–2003 | 0 |
The Gambia | National Registry | 1987–1998 | 15 | 1987–1998 | 0 |
Trinidad and Tobago | National Registry | 1995–2006 | 12 | 1995–2006 | 12 |
Tunisia | Centre Sousse | 1998–2002 | 5 | 1998–2002 | 0 |
Tunisia | North Tunisia | 2003–2005 | 3 | 2003–2005 | 0 |
Turkey | Ankara | 2002–2005 | 4 | 2002–2005 | 0 |
Turkey | Antalya | 1998–2008 | 13 | 1998–2008 | 0 |
Turkey | Edirne | 2002–2007 | 6 | 2002–2007 | 0 |
Turkey | Eight Provinces | 2006–2007 | 2 | 2006–2007 | 0 |
Turkey | Erzurum | 2002–2005 | 4 | 2002–2005 | 0 |
Turkey | Eskisehir | 2002–2005 | 4 | 2002–2005 | 0 |
Turkey | Izmir | 1998–2008 | 14 | 1998–2008 | 0 |
Turkey | Nine Provinces | 2008 | 1 | 2008 | 0 |
Turkey | Samsun | 2002–2005 | 4 | 2002–2005 | 0 |
Turkey | Trabzon | 2002–2007 | 5 | 2002–2007 | 0 |
Uganda | Kampala | 1954–2013 | 24 | 1954–2013 | 0 |
Ukraine | National Registry | 2000–2010 | 7 | 2000–2010 | 4 |
United Kingdom | Aryshire | 1970–1972 | 3 | 1970–1972 | 0 |
United Kingdom | East Anglia | 1988–1997 | 0 | 1988–1997 | 0 |
United Kingdom | East Midlands | 1981–2014 | 34 | 1981–2014 | 20 |
United Kingdom | East Scotland | 1973–1987 | 5 | 1973–1987 | 0 |
United Kingdom | East of England | 1981–2014 | 33 | 1981–2014 | 20 |
United Kingdom | England | 1993–2007 | 10 | 1993–2007 | 0 |
United Kingdom | England and Wales | 1979–1990 | 0 | 1979–1990 | 0 |
United Kingdom | Greater London | 1981–2014 | 34 | 1981–2014 | 20 |
United Kingdom | Merseyside and Cheshire | 1959–2002 | 11 | 1959–2002 | 0 |
United Kingdom | North East England | 1981–2014 | 34 | 1981–2014 | 20 |
United Kingdom | North East Scotland | 1973–1987 | 5 | 1973–1987 | 0 |
United Kingdom | North Scotland | 1973–1987 | 5 | 1973–1987 | 0 |
United Kingdom | North West England | 1973–2014 | 40 | 1973–2014 | 20 |
United Kingdom | Northern England and Yorkshire | 1998–2007 | 0 | 1998–2007 | 0 |
United Kingdom | Northern Ireland | 1993–2011 | 18 | 1993–2011 | 0 |
United Kingdom | Oxford | 1963–2007 | 18 | 1963–2007 | 0 |
United Kingdom | Scotland | 1963–2014 | 40 | 1963–2014 | 25 |
United Kingdom | South East England | 1981–2014 | 34 | 1981–2014 | 20 |
United Kingdom | South East Scotland | 1973–1987 | 5 | 1973–1987 | 0 |
United Kingdom | South Thames | 1960–2007 | 20 | 1960–1997 | 0 |
United Kingdom | South West England | 1960–2014 | 37 | 1960–2014 | 20 |
United Kingdom | Thames | 1998–2007 | 0 | 1991–2007 | 0 |
United Kingdom | Trent | 1963–2007 | 3 | 1963–2007 | 0 |
United Kingdom | Wales | 1981–2011 | 31 | 1981–2011 | 20 |
United Kingdom | Wessex | 1988–1992 | 0 | 1988–1992 | 0 |
United Kingdom | West Midlands | 1960–2014 | 44 | 1960–2014 | 20 |
United Kingdom | West Scotland | 1975–1992 | 0 | 1975–1992 | 0 |
United Kingdom | Yorkshire | 1983–2002 | 7 | 1983–2002 | 0 |
United Kingdom | Yorkshire and the Humber | 1981–2014 | 34 | 1981–2014 | 20 |
United States | Alabama | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Alameda County | 1969–1987 | 5 | 1983–1987 | 0 |
United States | Alaska | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Alaska Natives | 1992–2013 | 0 | NA | NA |
United States | Arizona | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Arkansas | 2001–2011 | 5 | 2003–2007 | 0 |
United States | Atlanta | 1973–2013 | 39 | 1973–2013 | 36 |
United States | California | 1998–2011 | 10 | 1998–2007 | 0 |
United States | California except SF, SJ–M, & LA | 2000–2013 | 14 | 2000–2013 | 9 |
United States | Central California | 1988–1992 | 5 | 1988–1992 | 0 |
United States | Colorado | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Connecticut | 1960–2013 | 41 | 1960–2013 | 37 |
United States | Delaware | 1999–2011 | 5 | 2003–2007 | 0 |
United States | Detroit | 1969–2013 | 41 | 1973–2013 | 37 |
United States | District of Columbia | 1998–2011 | 5 | 1998–2002 | 0 |
United States | El Paso | 1960–1970 | 0 | 1960–1970 | 0 |
United States | Florida | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Georgia | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Greater Georgia | 1973–2013 | 14 | 1973–2013 | 13 |
United States | Hawaii | 1960–2013 | 46 | 1960–2013 | 37 |
United States | Idaho | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Illinois | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Indiana | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Iowa | 1969–2013 | 41 | 1973–2013 | 37 |
United States | Kansas | 1999–2011 | 0 | NA | NA |
United States | Kentucky | 1973–2013 | 19 | 1973–2013 | 19 |
United States | Los Angeles | 1973–2013 | 41 | 1973–2013 | 24 |
United States | Louisiana | 1973–2013 | 29 | 1973–2013 | 18 |
United States | Maine | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Maryland | 1999–2011 | 0 | NA | NA |
United States | Massachusetts | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Michigan | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Minnesota | 1999–2011 | 0 | NA | NA |
United States | Mississippi | 2003–2011 | 5 | 2003–2007 | 0 |
United States | Missouri | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Montana | 1998–2011 | 10 | 1998–2007 | 0 |
United States | National Registry | 1962–2007 | 0 | 1962–2007 | 0 |
United States | Nebraska | 1999–2011 | 5 | 2003–2007 | 0 |
United States | Nevada | 1959–2010 | 0 | 1959–1966 | 0 |
United States | New Hampshire | 1999–2011 | 5 | 2003–2007 | 0 |
United States | New Jersey | 1973–2013 | 24 | 1973–2013 | 19 |
United States | New Mexico | 1969–2013 | 45 | 1969–2013 | 37 |
United States | New Orleans | 1974–2007 | 17 | 1983–2007 | 0 |
United States | New York | 1993–2011 | 15 | 1993–2007 | 0 |
United States | New York City | 1978–1987 | 0 | NA | NA |
United States | New York except New York City | 1959–1987 | 0 | 1959–1961 | 0 |
United States | North Carolina | 1999–2011 | 5 | 2003–2007 | 0 |
United States | North Dakota | 1999–2011 | 5 | 2003–2007 | 0 |
United States | Ohio | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Oklahoma | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Oregon | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Pennsylvania | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Rhode Island | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Rural Georgia | 1973–2013 | 22 | 1973–2013 | 24 |
United States | San Francisco | 1969–2007 | 29 | 1973–2007 | 0 |
United States | San Francisco, Oakland, San Mateo, and Surrounding Area | 1973–2013 | 41 | 1973–2013 | 36 |
United States | San Jose Monterey | 1973–2013 | 22 | 1973–2013 | 24 |
United States | Seattle | 1973–2013 | 40 | 1973–2013 | 36 |
United States | South Carolina | 1998–2011 | 10 | 1998–2007 | 0 |
United States | South Dakota | 2001–2011 | 5 | 2003–2007 | 0 |
United States | Tennessee | 2003–2011 | 5 | 2003–2007 | 0 |
United States | Texas | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Utah | 1966–2013 | 41 | 1973–2013 | 37 |
United States | Vermont | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Virginia | 2003–2011 | 5 | 2003–2007 | 0 |
United States | Washington | 1998–2011 | 10 | 1998–2007 | 0 |
United States | West Virginia | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Wisconsin | 1998–2011 | 10 | 1998–2007 | 0 |
United States | Wyoming | 1999–2011 | 5 | 2003–2007 | 0 |
Uruguay | Montevideo | 1990–1995 | 6 | 1990–1995 | 0 |
Uruguay | National Registry | 2002–2007 | 8 | 2002–2007 | 0 |
Vietnam | Hanoi | 1991–1997 | 8 | 1991–1997 | 0 |
Vietnam | Ho Chi Minh | 1995–1998 | 4 | 1995–1998 | 0 |
Zimbabwe | Bulawayo | 1963–1972 | 5 | 1963–1972 | 0 |
Zimbabwe | Harare | 1990–2006 | 17 | 1990–2006 | 0 |
Zimbabwe | National Registry | 2005–2006 | 2 | 2005–2006 | 0 |
NA, not available.
Table S2. Number of site-years for bladder cancer mortality data.
Cause | VR GBD 2015 | VR GBD 2016 | VR change GBD 2015 to GBD 2016 | VA GBD 2015 | VA GBD 2016 | VA change GBD 2015 to GBD 2016 | CR GBD 2015 | CR GBD 2016 | CR change GBD 2015 to GBD 2016 | Total GBD 2015 | Total GBD 2016 | Total change GBD 2015 to GBD 2016 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Bladder cancer | 10,100 | 16,010 | 59% | – | – | – | 2,426 | 2,656 | 9% | 12,526 | 18,666 | 49% |
GBD, Global Burden of Disease; VR, vital registration system data; VA, verbal autopsy data; CR, cancer registry data.
Table S3. Sociodemographic Index groupings by geography, based on 2016 values.
Location | SDI quintile |
---|---|
Andorra | High SDI |
Australia | High SDI |
Austria | High SDI |
Belgium | High SDI |
Brunei | High SDI |
Canada | High SDI |
Croatia | High SDI |
Cyprus | High SDI |
Czech Republic | High SDI |
Denmark | High SDI |
Estonia | High SDI |
Finland | High SDI |
France | High SDI |
Georgia | High SDI |
Germany | High SDI |
Greece | High SDI |
Iceland | High SDI |
Ireland | High SDI |
Italy | High SDI |
Japan | High SDI |
Latvia | High SDI |
Lithuania | High SDI |
Luxembourg | High SDI |
Malta | High SDI |
Netherlands | High SDI |
New Zealand | High SDI |
Norway | High SDI |
Poland | High SDI |
Puerto Rico | High SDI |
Singapore | High SDI |
Slovakia | High SDI |
Slovenia | High SDI |
South Korea | High SDI |
Sweden | High SDI |
Switzerland | High SDI |
Taiwan | High SDI |
United Kingdom | High SDI |
United States | High SDI |
Virgin Islands, United States | High SDI |
Antigua and Barbuda | High‐middle SDI |
Argentina | High‐middle SDI |
Armenia | High‐middle SDI |
Azerbaijan | High‐middle SDI |
Barbados | High‐middle SDI |
Belarus | High‐middle SDI |
Bermuda | High‐middle SDI |
Bulgaria | High‐middle SDI |
Chile | High‐middle SDI |
Cuba | High‐middle SDI |
Georgia | High‐middle SDI |
Greenland | High‐middle SDI |
Guam | High‐middle SDI |
Hungary | High‐middle SDI |
Iran | High‐middle SDI |
Israel | High‐middle SDI |
Kazakhstan | High‐middle SDI |
Kuwait | High‐middle SDI |
Lebanon | High‐middle SDI |
Libya | High‐middle SDI |
Macedonia | High‐middle SDI |
Malaysia | High‐middle SDI |
Mauritius | High‐middle SDI |
Montenegro | High‐middle SDI |
Northern Mariana Islands | High‐middle SDI |
Panama | High‐middle SDI |
Portugal | High‐middle SDI |
Qatar | High‐middle SDI |
Romania | High‐middle SDI |
Russia | High‐middle SDI |
Saudi Arabia | High‐middle SDI |
Serbia | High‐middle SDI |
Spain | High‐middle SDI |
The Bahamas | High‐middle SDI |
Trinidad and Tobago | High‐middle SDI |
Turkey | High‐middle SDI |
Turkmenistan | High‐middle SDI |
Ukraine | High‐middle SDI |
United Arab Emirates | High‐middle SDI |
Albania | Middle SDI |
Algeria | Middle SDI |
American Samoa | Middle SDI |
Bahrain | Middle SDI |
Bosnia and Herzegovina | Middle SDI |
Botswana | Middle SDI |
Brazil | Middle SDI |
China | Middle SDI |
Colombia | Middle SDI |
Costa Rica | Middle SDI |
Dominica | Middle SDI |
Dominican Republic | Middle SDI |
Ecuador | Middle SDI |
Egypt | Middle SDI |
El Salvador | Middle SDI |
Equatorial Guinea | Middle SDI |
Fiji | Middle SDI |
Grenada | Middle SDI |
Guyana | Middle SDI |
Indonesia | Middle SDI |
Jamaica | Middle SDI |
Jordan | Middle SDI |
Maldives | Middle SDI |
Mexico | Middle SDI |
Moldova | Middle SDI |
Mongolia | Middle SDI |
Oman | Middle SDI |
Paraguay | Middle SDI |
Peru | Middle SDI |
Philippines | Middle SDI |
Saint Lucia | Middle SDI |
Saint Vincent and the Grenadines | Middle SDI |
Seychelles | Middle SDI |
South Africa | Middle SDI |
Sri Lanka | Middle SDI |
Suriname | Middle SDI |
Thailand | Middle SDI |
Tunisia | Middle SDI |
Uruguay | Middle SDI |
Uzbekistan | Middle SDI |
Venezuela | Middle SDI |
Vietnam | Middle SDI |
Bangladesh | Low‐middle SDI |
Belize | Low‐middle SDI |
Bhutan | Low‐middle SDI |
Bolivia | Low‐middle SDI |
Cambodia | Low‐middle SDI |
Cameroon | Low‐middle SDI |
Cape Verde | Low‐middle SDI |
Congo | Low‐middle SDI |
Federated States of Micronesia | Low‐middle SDI |
Gabon | Low‐middle SDI |
Ghana | Low‐middle SDI |
Guatemala | Low‐middle SDI |
Honduras | Low‐middle SDI |
India | Low‐middle SDI |
Iraq | Low‐middle SDI |
Kenya | Low‐middle SDI |
Kyrgyzstan | Low‐middle SDI |
Laos | Low‐middle SDI |
Lesotho | Low‐middle SDI |
Marshall Islands | Low‐middle SDI |
Mauritania | Low‐middle SDI |
Morocco | Low‐middle SDI |
Myanmar | Low‐middle SDI |
Namibia | Low‐middle SDI |
Nepal | Low‐middle SDI |
Nicaragua | Low‐middle SDI |
Nigeria | Low‐middle SDI |
North Korea | Low‐middle SDI |
Pakistan | Low‐middle SDI |
Samoa | Low‐middle SDI |
Sudan | Low‐middle SDI |
Swaziland | Low‐middle SDI |
Syria | Low‐middle SDI |
Tajikistan | Low‐middle SDI |
Timor-Leste | Low‐middle SDI |
Tonga | Low‐middle SDI |
Vanuatu | Low‐middle SDI |
Zambia | Low‐middle SDI |
Zimbabwe | Low‐middle SDI |
Afghanistan | Low SDI |
Angola | Low SDI |
Benin | Low SDI |
Burkina Faso | Low SDI |
Burundi | Low SDI |
Central African Republic | Low SDI |
Chad | Low SDI |
Comoros | Low SDI |
Cote d’Ivoire | Low SDI |
Democratic Republic of the Congo | Low SDI |
Djibouti | Low SDI |
Eritrea | Low SDI |
Ethiopia | Low SDI |
Guinea | Low SDI |
Guinea-Bissau | Low SDI |
Haiti | Low SDI |
Kiribati | Low SDI |
Liberia | Low SDI |
Madagascar | Low SDI |
Malawi | Low SDI |
Mali | Low SDI |
Mozambique | Low SDI |
Niger | Low SDI |
Palestine | Low SDI |
Papua New Guinea | Low SDI |
Rwanda | Low SDI |
Sao Tome and Principe | Low SDI |
Senegal | Low SDI |
Sierra Leone | Low SDI |
Solomon Islands | Low SDI |
Somalia | Low SDI |
South Sudan | Low SDI |
Tanzania | Low SDI |
The Gambia | Low SDI |
Togo | Low SDI |
Uganda | Low SDI |
Yemen | Low SDI |
SDI, sociodemographic index.
Table S4. Covariates selected for CODEm for each GBD bladder cancer group and expected direction of covariate.
Cause | Sex | Age start | Age end | Direction | Covariate |
---|---|---|---|---|---|
Bladder cancer | Male | 15–19 years | 95+ years | 1 | Alcohol (liters per capita) |
Bladder cancer | Male | 15–19 years | 95+ years | 1 | cumulative cigarettes (10 years) |
Bladder cancer | Male | 15–19 years | 95+ years | 1 | cumulative cigarettes (15 years) |
Bladder cancer | Male | 15–19 years | 95+ years | 1 | cumulative cigarettes (5 years) |
Bladder cancer | Male | 15–19 years | 95+ years | −1 | Education (years per capita) |
Bladder cancer | Male | 15–19 years | 95+ years | 0 | LDI (I$ per capita) |
Bladder cancer | Male | 15–19 years | 95+ years | 1 | Population density (over 1,000 ppl/sqkm, proportion) |
Bladder cancer | Male | 15–19 years | 95+ years | 1 | Population density (under 150 ppl/sqkm, proportion) |
Bladder cancer | Male | 15–19 years | 95+ years | 1 | Smoking prevalence |
Bladder cancer | Male | 15–19 years | 95+ years | 1 | Log-transformed SEV scalar: Bladder C |
Bladder cancer | Male | 15–19 years | 95+ years | 0 | Sociodemographic index |
Bladder cancer | Male | 15–19 years | 95+ years | −1 | fruits adjusted (g) |
Bladder cancer | Male | 15–19 years | 95+ years | −1 | Vegetables adjusted (g) |
Bladder cancer | Male | 15–19 years | 95+ years | −1 | Healthcare access and quality index |
Bladder cancer | Female | 15–19 years | 95+ years | 1 | Alcohol (liters per capita) |
Bladder cancer | Female | 15–19 years | 95+ years | 1 | Cumulative cigarettes (10 years) |
Bladder cancer | Female | 15–19 years | 95+ years | 1 | Cumulative cigarettes (15 years) |
Bladder cancer | Female | 15–19 years | 95+ years | 1 | Cumulative cigarettes (5 years) |
Bladder cancer | Female | 15–19 years | 95+ years | −1 | Education (years per capita) |
Bladder cancer | Female | 15–19 years | 95+ years | 0 | LDI (I$ per capita) |
Bladder cancer | Female | 15–19 years | 95+ years | 1 | Population density (over 1,000 ppl/sqkm, proportion) |
Bladder cancer | Female | 15–19 years | 95+ years | 1 | Population density (under 150 ppl/sqkm, proportion) |
Bladder cancer | Female | 15–19 years | 95+ years | 1 | Smoking prevalence |
Bladder cancer | Female | 15–19 years | 95+ years | 1 | Log‐transformed SEV scalar: Bladder C |
Bladder cancer | Female | 15–19 years | 95+ years | 0 | Sociodemographic index |
Bladder cancer | Female | 15–19 years | 95+ years | −1 | fruits adjusted (g) |
Bladder cancer | Female | 15–19 years | 95+ years | −1 | Vegetables adjusted (g) |
Bladder cancer | Female | 15–19 years | 95+ years | −1 | Healthcare access and quality index |
CODEm, cause of death ensemble model; GBD, Global Burden of Disease.
Table S5. Comparison of GBD 2015 and GBD 2016 covariates used and level of covariates.
Cause | Sex | Covariate | GBD 2015 | GBD 2016 | |||||
---|---|---|---|---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 1 | Level 2 | Level 3 | ||||
Bladder cancer | Male | Cumulative cigarettes (10 years) | X | X | |||||
Bladder cancer | Male | Cumulative cigarettes (15 years) | X | X | |||||
Bladder cancer | Male | Cumulative cigarettes (5 years) | X | X | |||||
Bladder cancer | Male | Education (years per capita) | X | X | |||||
Bladder cancer | Male | LDI (I$ per capita) | X | X | |||||
Bladder cancer | Male | Sociodemographic index | X | X | |||||
Bladder cancer | Male | Smoking prevalence | X | X | |||||
Bladder cancer | Male | Alcohol (liters per capita) | X | X | |||||
Bladder cancer | Male | Log‐transformed SEV scalar: Bladder C | X | X | |||||
Bladder cancer | Male | Population density (under 150 ppl/sqkm, proportion) | X | X | |||||
Bladder cancer | Male | Population density (over 1,000 ppl/sqkm, proportion) | X | X | |||||
Bladder cancer | Female | Cumulative cigarettes (10 years) | X | X | |||||
Bladder cancer | Female | Cumulative cigarettes (15 years) | X | X | |||||
Bladder cancer | Female | Cumulative cigarettes (5 years) | X | X | |||||
Bladder cancer | Female | Education (years per capita) | X | X | |||||
Bladder cancer | Female | LDI (I$ per capita) | X | X | |||||
Bladder cancer | Female | Sociodemographic index | X | X | |||||
Bladder cancer | Female | Smoking prevalence | X | X | |||||
Bladder cancer | Female | Alcohol (liters per capita) | X | X | |||||
Bladder cancer | Female | Log‐transformed SEV scalar: Bladder C | X | X | |||||
Bladder cancer | Female | Population density (under 150 ppl/sqkm, proportion) | X | X | |||||
Bladder cancer | Female | Population density (over 1,000 ppl/sqkm, proportion) | X | X |
GBD, Global Burden of Disease.
Table S6. Results for CODEm model testing.
Cause | Sex | Age start | Age end | Predictive validity | |||||
---|---|---|---|---|---|---|---|---|---|
RMSE in | RMSE out | Trend in | Trend out | Coverage in | Coverage out | ||||
Bladder cancer (data rich) | Male | 15–19 years | 95+ years | 0.238162 | 0.289199 | 0.193221 | 0.21405 | 0.998893 | 0.9979 |
Bladder cancer (global) | Male | 15–19 years | 95+ years | 0.259512 | 0.358356 | 0.20438 | 0.211875 | 0.998849 | 0.993972 |
Bladder cancer (global) | Female | 15–19 years | 95+ years | 0.279362 | 0.406151 | 0.217047 | 0.218843 | 0.995797 | 0.992228 |
Bladder cancer (data rich) | Female | 15–19 years | 95+ years | 0.241778 | 0.308128 | 0.197425 | 0.236098 | 0.995139 | 0.99458 |
CODEm, cause of death ensemble model; RMSE, root mean square of errors.
Table S7. Percent change before and after Cod Correct by bladder cancer for all ages, both sexes combined, 2016.
Cause | Cod Correct level | Percent change (%) |
---|---|---|
Bladder cancer | 3 | −2.19 (−3.56 to −0.52) |
Table S8. Disability weights.
Health state | Lay description | Estimate | Uncertainty interval |
---|---|---|---|
Cancer, diagnosis and primary therapy | Has pain, nausea, fatigue, weight loss and high anxiety | 0.288 | 0.193–0.399 |
Cancer, controlled phase | Has a chronic disease that requires medication every day and causes some worry but minimal interference with daily activities | 0.049 | 0.031–0.072 |
Cancer, metastatic | Has severe pain, extreme fatigue, weight loss and high anxiety | 0.451 | 0.307–0.600 |
Terminal phase, with medication | Has lost a lot of weight and regularly uses strong medication to avoid constant pain. The person has no appetite, feels nauseous, and needs to spend most of the day in bed | 0.540 | 0.377–0.687 |
Table S9. Decomposition analysis of bladder cancer incidence trends at the global and regional levels, and by SDI quintiles, both sexes, 2006 to 2016.
Location | Incidence cases, No. | Expected incidence cases, 2016, No. | Change in incidence cases, 2006 to 2016, % | Overall change, % | ||||||
---|---|---|---|---|---|---|---|---|---|---|
2006 | 2016 | Given population growth alone | Given population growth and aging | Due to population growth | Due to change in age structure | Due to change in incidence rate | ||||
Global | 333,876 (329,918 to 337,714) | 437,442 (426,709 to 447,912) | 375,373 | 441,586 | 12.4 | 19.8 | −1.2 | 31 | ||
High SDI | 171,627 (169,324 to 173,991) | 213,500 (206,159 to 220,038) | 180,794 | 213,267 | 5.3 | 18.9 | 0.1 | 24.4 | ||
High‐middle SDI | 76,815 (75,044 to 78,668) | 96,865 (93,605 to 100,135) | 85,342 | 99,392 | 11.1 | 18.3 | −3.3 | 26.1 | ||
Middle SDI | 56,859 (55,417 to 58,408) | 85,371 (80,381 to 87,836) | 61,034 | 77,034 | 7.3 | 28.1 | 14.7 | 50.1 | ||
Low‐middle SDI | 23,940 (22,710 to 25,170) | 34,771 (32,913 to 36,384) | 27,918 | 32,388 | 16.6 | 18.7 | 10 | 45.2 | ||
Low SDI | 6,011 (5,650 to 6,672) | 8,223 (7,850 to 8,585) | 7,952 | 8,197 | 32.3 | 4.1 | 0.4 | 36.8 |
SDI, sociodemographic index.
The GBD estimation process starts with cancer mortality. Data sources for bladder cancer mortality include vital registration systems and cancer registries. Cancer incidence data are used to model mortality in places where without cancer mortality data by multiplying incidence by a separately modelled mortality-to incidence ratio. These mortality estimates are used in a cause of death ensemble model (CODEm) (7,11). Each cancer type is estimated separately using covariates with a causal connection. Cancer incidence is estimated by dividing final cancer-specific mortality estimates by the mortality-to-incidence ratio. We also estimated the contributions of population ageing, population growth, and the change in age-specific rates on the change of incident cases between 2006 and 2016, which are available in the Supplementary materials (6).
Results
Trends in bladder cancer incidence in the period from 1990 to 2016
Globally, new bladder cancer diagnoses rose 1.8-fold between 1990 and 2016 {238,617 [95% uncertainty interval (UI), 232,159–244,362] to 437,442 (95% UI, 426,709–447,912)}. In 2016, in relation to SDI countries, the highest bladder cancer incidence in both men and women occurred in high SDI countries (213,500, 95% UI, 206,159–220,038), followed by high-middle SDI countries (96,865; 95% UI, 93,605–100,135), middle SDI countries (85,371; 95% UI, 80,381–87,836), low-middle SDI countries (34,771; 95% UI, 32,913–36,384), and low SDI countries (8,223; 95% UI, 7,850–8,585). In the same year, 334,373 (95% UI, 325,085–342,168) and 103,069 (95% UI, 98,687–107,068) incident cases were estimated for males and females, respectively. In terms of SDI countries, the largest increase (162.60%) was in middle SDI countries [from 32,510 (95% UI, 31,501–34,224) in 1990 to 85,371 (95% UI, 80,381–87,836) in 2016]. Among the regions, the largest increase in bladder cancer incident cases from 1990 to 2016 was in Oceania, with a rise of 259.52% [from 42 (95% UI, 37–55) in 1990 to 151 (95% UI, 133–185) in 2016]. In 2016, bladder cancer was more common in men, with 334,373 incident cases compared to women, with 103,069 cases (Table 1).
Table 1. Global and regional bladder cancer incident and death cases by geography, gender, and SDI, 1990 and 2016.
Location | Incident cases, global and regional | Death cases, global and regional | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1990 | 2016 | 1990 | 2016 | ||||||||||||
Male | Female | Both | Male | Female | Both | Male | Female | Both | Male | Female | Both | ||||
Global | 179,438 [174,049–184,282] | 59,179 [57,539–60,890] | 238,617 [232,159–244,362] | 334,373 [325,085–342,168] | 103,069 [98,687–107,068] | 437,442 [426,709–447,912] | 81,981 [79,064–85,004] | 31,433 [30,267–32,783] | 113,414 [110,361–117,066] | 137,883 [133,054–142,437] | 48,315 [46,028–50,487] | 186,199 [180,453–191,686] | |||
High SDI | 101,014 [99,063–103,041] | 32,979 [32,367–33,606] | 133,992 [131,968–136,064] | 161,396 [154,512–166,577] | 52,104 [49,679–54,630] | 213,500 [206,159–220,038] | 35,703 [35,030–36,370] | 14,346 [14,031–14,669] | 50,049 [49,298–50,885] | 54,949 [52,530–57,085] | 20,387 [19,284–21,390] | 75,336 [72,679–77,841] | |||
High-middle SDI | 43,298 [39,889–45,673] | 11,490 [10,833–12,202] | 54,788 [51,061–57,281] | 77,144 [74,433–79,912] | 19,721 [18,543–20,826] | 96,865 [93,605–100,135] | 20,432 [18,799–21,725] | 5,790 [5,482–6,115] | 26,223 [24,462–27,545] | 30,484 [28,212–32,743] | 8,404 [7,598–9,352] | 38,889 [36,379–41,379] | |||
Low SDI | 2,512 [2,361–2,905] | 1,513 [1,303–1,797] | 4,025 [3,709–4,547] | 5,193 [4,866–5,488] | 3,030 [2,848–3,239] | 8,223 [7,850–8,585] | 2,489 [2,236–2,930] | 1,510 [1,286–1,809] | 3,999 [3,631–4,545] | 5,274 [4,773–5,712] | 3,046 [2,723–3,346] | 8,320 [7,757–8,853] | |||
Low-middle SDI | 9,893 [8,765–10,706] | 4,498 [4,029–5,279] | 14,391 [12,928–15,622] | 25,581 [23,840–27,099] | 9,190 [8,856–9,530] | 34,771 [32,913–36,384] | 7,189 [6,256–7,946] | 3,662 [3,082–4,402] | 10,851 [9,872–11,959] | 15,795 [14,474–17,080] | 6,516 [5,972–7,038] | 22,311 [20,831–23,545] | |||
Middle SDI | 23,751 [23,023–25,145] | 8,759 [8,342–9,217] | 32,510 [31,501–34,224] | 66,277 [62,215–68,205] | 19,094 [17,794–20,156] | 85,371 [80,381–87,836] | 16,144 [15,408–17,259] | 6,111 [5,744–6,443] | 22,254 [21,368–23,483] | 31,314 [29,333–32,668] | 9,934 [9,182–10,567] | 41,248 [38,787–42,863] | |||
High-income Asia Pacific | 8,994 [8,746–9,250] | 3,114 [3,027–3,197] | 12,108 [11,837–12,374] | 21,513 [19,918–22,754] | 7,581 [7,129–8,098] | 29,094 [27,312–30,653] | 2,875 [2,781–2,978] | 1,308 [1,266–1,355] | 4,183 [4,080–4,303] | 7,038 [6,440–7,622] | 3,030 [2,793–3,291] | 10,067 [9,365–10,749] | |||
Western Europe | 64,281 [62,445–66,177] | 18,395 [17,896–18,909] | 82,676 [80,720–84,679] | 91,848 [86,389–96,142] | 25,886 [24,239–27,686] | 117,734 [111,908–122,735] | 23,439 [22,820–24,061] | 8,642 [8,365–8,915] | 32,081 [31,398–32,778] | 32,283 [30,396–34,059] | 10,672 [9,930–11,416] | 42,955 [40,983–44,950] | |||
Andean Latin | 269 [253–289] | 142 [126–160] | 411 [385–443] | 622 [581–667] | 356 [331–381] | 978 [935–1,023] | 189 [172–206] | 100 [87–116] | 288 [266–315] | 391 [337–452] | 225 [189–265] | 616 [550–687] | |||
America | 1,221 [1,184–1,260] | 644 [624–666] | 1,865 [1,818–1,910] | 3,644 [3,539–3,759] | 1,995 [1,871–2,072] | 5,639 [5,494–5,778] | 785 [758–814] | 420 [404–437] | 1,205 [1,172–1,239] | 1,769 [1,673–1,873] | 977 [904–1,038] | 2,747 [2,624–2,870] | |||
Central Latin America | 2,412 [2,274–2,557] | 624 [581–669] | 3,036 [2,887–3,192] | 3,901 [3,619–4,187] | 1,466 [1,346–1,596] | 5,367 [5,050–5,682] | 1,370 [1,272–1,467] | 397 [364–431] | 1,766 [1,664–1,869] | 1,781 [1,577–1,992] | 762 [662–874] | 2,543 [2,317–2,792] | |||
Southern Latin America | 2,131 [2,058–2,204] | 820 [786–855] | 2,952 [2,869–3,038] | 6,311 [6,047–6,574] | 2,942 [2,776–3,100] | 9,253 [8,945–9,559] | 1,334 [1,273–1,399] | 519 [493–546] | 1,853 [1,786–1,924] | 3,234 [3,034–3,427] | 1,482 [1,375–1,594] | 4,715 [4,490–4,947] | |||
Tropical Latin America | 7,453 [6,903–8,204] | 1,864 [1,661–2,086] | 9,316 [8,680–10,212] | 22,984 [21,176–24,621] | 5,142 [4,743–5,619] | 28,126 [26,065–30,002] | 5,002 [4,479–5,615] | 1,268 [1,106–1,454] | 6,270 [5,624–6,986] | 10,655 [9,643–11,721] | 2,496 [2,278–2,775] | 13,152 [12,143–14,214] | |||
North Africa and Middle | 27,248 [26,618–27,875] | 10,465 [10,158–10,789] | 37,712 [36,932–38,481] | 46,158 [44,662–47,633] | 15,905 [15,200–16,620] | 62,062 [60,383–63,707] | 8,929 [8,698–9,161] | 4,046 [3,921–4,175] | 12,975 [12,688–13,262] | 15,028 [14,427–15,637] | 5,891 [5,605–6,216] | 20,919 [20,235–21,653] | |||
East | 27 [25–36] | 15 [12–20] | 42 [37–55] | 97 [88–119] | 54 [42–70] | 151 [133–185] | 18 [15–24] | 11 [8–16] | 29 [24–38] | 47 [40–63] | 32 [23–44] | 78 [64–103] | |||
High-income North America | 375 [324–464] | 238 [197–290] | 613 [533–718] | 744 [676–815] | 432 [381–490] | 1,176 [1,100–1,256] | 340 [271–428] | 219 [179–273] | 559 [465–662] | 705 [605–820] | 424 [363–487] | 1,130 [1,009–1,264] | |||
Oceania | 1,050 [975–1,146] | 809 [699–942] | 1,859 [1,725–1,999] | 2,335 [2,060–2,538] | 1,758 [1,479–2,089] | 4,094 [3,567–4,514] | 1,069 [954–1,203] | 835 [692–1,002] | 1,904 [1,722–2,108] | 2,375 [2,036–2,656] | 1,739 [1,411–2,077] | 4,115 [3,529–4,533] | |||
Central sub-Saharan | 1,572 [1,303–1,742] | 400 [350–460] | 1,972 [1,659–2,166] | 2,500 [2,328–2,647] | 552 [511–597] | 3,052 [2,860–3,217] | 789 [656–889] | 219 [190–257] | 1,008 [851–1,118] | 1,090 [985–1,197] | 250 [225–277] | 1,339 [1,232–1,457] | |||
Africa | 844 [718–954] | 574 [518–617] | 1,418 [1,247–1,547] | 1,623 [1,458–1,771] | 988 [930–1,047] | 2,611 [2,410–2,789] | 490 [373–590] | 334 [278–383] | 824 [657–954] | 879 [773–977] | 528 [461–598] | 1,407 [1,275–1,540] | |||
Eastern sub-Saharan | 1,199 [1,140–1,280] | 558 [513–604] | 1,757 [1,670–1,872] | 2,163 [2,060–2,256] | 967 [869–1,052] | 3,129 [2,959–3,268] | 1,206 [1,082–1,343] | 583 [516–662] | 1,789 [1,630–1,961] | 2,120 [1,922–2,362] | 941 [811–1,081] | 3,061 [2,794–3,363] | |||
Africa | 18,715 [17,988–19,829] | 6,821 [6,436–7,230] | 25,536 [24,567–26,906] | 51,759 [48,743–53,797] | 12,867 [11,731–14,081] | 64,626 [60,665–67,499] | 12,258 [11,642–13,087] | 4,756 [4,386–5,105] | 17,014 [16,205–17,924] | 21,531 [20,229–22,538] | 6,070 [5,517–6,665] | 27,601 [25,919–28,929] | |||
Central Asia | 8,119 [7,279–8,781] | 3,215 [2,891–3,748] | 11,334 [10,216–12,246] | 22,160 [20,533–23,458] | 7,281 [6,918–7,677] | 29,440 [27,591–30,984] | 5,561 [4,829–6,166] | 2,375 [1,996–2,844] | 7,936 [7,126–8,737] | 13,054 [11,845–14,181] | 4,820 [4,303–5,287] | 17,874 [16,426–19,107] | |||
Southern sub-Saharan | 3,862 [3,634–4,317] | 1,802 [1,501–2,162] | 5,664 [5,185–6,330] | 11,956 [11,335–12,490] | 4,117 [3,818–4,503] | 16,073 [15,403–16,759] | 2,619 [2,394–2,964] | 1,463 [1,178–1,830] | 4,082 [3,661–4,598] | 5,869 [5,460–6,291] | 2,571 [2,336–2,885] | 8,440 [7,944–9,008] | |||
Africa | 1,881 [1,774–1,996] | 638 [591–684] | 2,519 [2,402–2,642] | 3,008 [2,754–3,289] | 1,018 [916–1,127] | 4,026 [3,755–4,333] | 617 [579–657] | 267 [248–287] | 884 [845–927] | 1,050 [937–1,170] | 432 [380–495] | 1,482 [1,361–1,618] | |||
Western sub-Saharan | 845 [803–892] | 342 [314–376] | 1,186 [1,131–1,253] | 1,742 [1,643–1,845] | 718 [664–775] | 2,460 [2,346–2,576] | 477 [446–513] | 203 [183–230] | 681 [638–732] | 833 [758–908] | 365 [325–410] | 1,198 [1,117–1,285] | |||
Africa | 9,479 [9,189–9,769] | 2,796 [2,688–2,906] | 12,276 [11,983–12,579] | 17,011 [16,318–17,768] | 5,495 [5,135–5,878] | 22,506 [21,692–23,381] | 4,709 [4,517–4,881] | 1,391 [1,334–1,452] | 6,100 [5,898–6,277] | 7,202 [6,774–7,709] | 2,295 [2,114–2,488] | 9,496 [9,033–10,048] | |||
East Asia | 17,461 [14,748–19,251] | 4,904 [4,373–5,519] | 22,365 [19,368–24,346] | 20,295 [18,847–21,796] | 5,549 [5,091–6,053] | 25,844 [24,301–27,409] | 7,882 [6,603–8,865] | 2,063 [1,794–2,366] | 9,945 [8,562–11,004] | 8,885 [6,996–10,985] | 2,285 [1,680–3,046] | 11,169 [9,211–13,423] |
Data in the parentheses indicates 95% uncertainty interval (95% UI). SDI, Sociodemographic index (a summary indicator of income per capita, educational attainment, and fertility).
Trends in bladder cancer-related deaths in the period from 1990 to 2016
Globally, there were 186,199 (95% UI, 180,453–191,686) deaths from bladder cancer in 2016, and the number of deaths was 137,883 (95% UI, 133,054–142,437) in males and 48,315 (95% UI, 46,028–50,487) in females. Between 1990 and 2016, deaths from bladder cancer rose 1.6-fold [113,414 (95% UI, 110,361–117,066) to 186,199 (95% UI, 180,453–191,686)]. In terms of SDI countries, the highest burden of bladder cancer deaths for both men and women occurred in high SDI countries (75,336; 95% UI, 72,679–77,841), followed by middle SDI countries (41,248; 95% UI, 38,787–42,863), high-middle SDI countries (38,889; 95% UI, 36,379–41,379), low-middle SDI countries (22,311; 95% UI, 20,831–23,545), and low SDI countries (8,320; 95% UI, 7,757–8,853). However, there was a decrease (18.65%) in bladder cancer deaths observed across all SDI countries from 1990 to 2016, especially in high-middle SDI countries. Among the regions, Oceania experienced the largest increase in bladder cancer-related deaths from 1990 to 2016, with a rise of 14.92% [from 29 (95% UI, 24–38) in 1990 to 78 (95% UI, 64–103) in 2016]. In 2016, bladder cancer mortality was much higher in men compared to women, with the number of death cases standing at 137,883 and 48,315, respectively (Table 1).
Trends in the age-standardized incidence rate (ASIR) of bladder cancer in the period from 1990 to 2016
Globally, between 1990 and 2016, changes in the ASIR for bladder cancer decreased by 5.91% from 7.11 (95% UI, 6.93–7.27) in 1990 to 6.69 (95% UI, 6.52–6.85) in 2016. In 2016, the highest ASIR was in high SDI countries (11.92; 95% UI, 11.53–12.28). However, the ASIR of bladder cancer in both sexes decreased in high SDI, high-middle SDI, and low SDI countries while it increased in middle SDI and low-middle SDI countries from 1990 to 2016. Between 1990 and 2016, ASIRs of bladder cancers remained highest in Western Europe, where the ASIR decreased by 7.97% from 15.93 (95% UI, 15.57–16.30) to 14.66 (95% UI, 13.93–15.24), followed by Central Europe, where it rose from 9.23 (95% UI, 9.03–9.45) to 12.05 (95% UI, 11.62–12.51). Globally, the age-standard bladder cancer incidence rate (per 100,000 people) in 2016 among men [11.54 (11.21–11.81)] was 4 times higher than among women [2.86 (2.75–2.98)] (Table 2, Figures 1,2).
Table 2. Global and regional age-standardized bladder cancer incidence and death rates with 95% uncertainty interval and percent change by geography, gender, and SDI between 1990 and 2016.
Location | Sex | Age-standardized incidence rates per 100,000 | Age-standardized death rates per 100,000 | |||||
---|---|---|---|---|---|---|---|---|
1990 | 2016 | Change (%) | 1990 | 2016 | Change (%) | |||
Global | Both | 7.11 (6.93–7.27) | 6.69 (6.52–6.85) | −5.91 | 3.58 (3.49–3.68) | 2.94 (2.85–3.03) | −17.88 | |
Male | 12.47 (12.713–12.79) | 11.54 (11.21–11.81) | −7.46 | 6.29 (6.09–6.50) | 5.10 (4.93–5.27) | −18.92 | ||
Female | 3.18 (3.10–3.27) | 2.86 (2.75–2.98) | −10.06 | 1.74 (1.68–1.81) | 1.35 (1.28–1.41) | −22.41 | ||
High SDI | Both | 12.68 (12.49–12.87) | 11.92 (11.53–12.28) | −6 | 4.65 (4.58–4.72) | 3.84 (3.71–3.96) | −17.42 | |
Male | 23.45 (23.01–23.91) | 20.76 (19.91–21.42) | −11.47 | 8.74 (8.58–8.91) | 6.89 (6.60–7.16) | −21.17 | ||
Female | 5.25 (5.15–5.35) | 5.07 (4.84–5.30) | −1.52 | 2.14 (2.10–2.19) | 1.70 (1.62–1.79) | −20.56 | ||
High‐middle SDI | Both | 7.65 (7.16–7.99) | 7.62 (7.36–7.88) | −0.39 | 3.86 (3.61–4.04) | 3.14 (2.94–3.33) | −18.65 | |
Male | 14.94 (13.91–15.68) | 14.18 (13.68–14.67) | −5.09 | 7.84 (7.29–8.28) | 6.05 (5.63–6.47) | −22.83 | ||
Female | 2.79 (2.63–2.95) | 2.75 (2.58–2.90) | −1.43 | 1.44 (1.36–1.51) | 1.15 (1.04–1.28) | −20.14 | ||
Middle SDI | Both | 3.44 (3.33–3.61) | 4.10 (3.86–4.21) | 19.19 | 2.63 (2.53–2.77) | 2.17 (2.05–2.25) | −17.49 | |
Male | 5.46 (5.29–5.78) | 6.78 (6.40–6.97) | 24.18 | 4.24 (4.06–4.53) | 3.62 (3.41–3.77) | −14.62 | ||
Female | 1.74 (1.70–1.82) | 1.76 (1.64–1.85) | 11.49 | 1.35 (1.27–1.42) | 0.98 (0.91–1.05) | −27.41 | ||
Low‐middle SDI | Both | 2.48 (2.22–2.68) | 2.75 (2.60–2.88) | 10.89 | 2.01 (1.82–2.21) | 1.94 (2.05–1.80) | −3.48 | |
Male | 3.60 (3.19–3.88) | 4.29 (4.00–4.56) | 19.17 | 2.84 (2.45–3.14) | 2.97 (2.71–3.21) | 4.58 | ||
Female | 1.48 (1.33–1.72) | 1.39 (1.34–1.44) | −6.08 | 1.28 (1.07–1.53) | 1.06 (0.97–1.15) | −17.19 | ||
Low SDI | Both | 3.00 (2.79–3.35) | 2.88 (2.74–3.01) | −4 | 3.23 (2.97–3.63) | 3.21 (2.99–3.42) | −0.62 | |
Male | 4.04 (3.80–4.62) | 3.89 (3.62–4.13) | −3.71 | 4.32 (3.89–5.02) | 4.33 (3.93–4.70) | 0.23 | ||
Female | 2.09 (1.82–2.44) | 1.99 (1.87–2.13) | −4.78 | 2.29 (2.70–1.97) | 2.23 (1.99–2.44) | −2.62 | ||
High‐income Asia Pacific | Both | 7.12 (6.96–7.27) | 7.33 (6.85–7.74) | 2.95 | 2.59 (2.53–2.66) | 2.22 (2.06–2.39) | −14.29 | |
Male | 12.84 (12.49–13.21) | 13.14 (12.18–13.9) | 2.34 | 4.57 (4.42–4.73) | 4.09 (3.75–4.44) | −10.5 | ||
Female | 3.18 (3.10–3.27) | 3.00 (2.81–3.23) | −5.66 | 1.36 (1.32–1.40) | 1.01 (0.93–1.11) | −25.74 | ||
Western Europe | Both | 15.93 (15.57–16.30) | 14.66 (13.93–15.24) | −7.97 | 5.93 (5.81–6.06) | 4.77 (4.54–4.98) | −19.56 | |
Male | 30.58 (29.75–31.43) | 26.32 (24.83–27.48) | −13.93 | 11.54 (11.25–11.85) | 8.81 (8.30–9.28) | −23.66 | ||
Female | 5.86 (5.70–6.01) | 5.53 (5.18–5.90) | −5.63 | 2.53 (2.45–2.60) | 1.92 (1.79–2.05) | −24.11 | ||
Andean Latin America | Both | 2.41 (2.26–2.60) | 2.27 (2.17–2.38) | −5.81 | 1.87 (1.73–2.04) | 1.49 (1.33–1.66) | −20.32 | |
Male | 3.48 (3.28–3.74) | 3.20 (2.99–3.43) | −8.05 | 2.74 (2.51–3.00) | 2.15 (1.86–2.47) | −21.53 | ||
Female | 1.53 (1.36–1.71) | 1.52 (1.41–1.63) | −0.65 | 1.17 (1.02–1.35) | 0.98 (0.82–1.15) | −16.24 | ||
Central Latin America | Both | 2.48 (2.41–2.53) | 3.01 (2.93–3.09) | 21.37 | 1.73 (1.68–1.78) | 1.55 (1.48–1.62) | −10.4 | |
Male | 3.64 (3.53–3.75) | 4.34 (4.21–4.48) | 19.23 | 2.56 (2.47–2.65) | 2.28 (2.16–2.41) | −10.94 | ||
Female | 1.54 (1.50–1.60) | 1.93 (1.81–2.00) | 25.32 | 1.09 (1.04–1.13) | 0.98 (0.91–1.04) | −10.09 | ||
Southern Latin America | Both | 7.31 (6.96–7.67) | 7.32 (6.90–7.76) | 0.14 | 4.38 (4.14–4.63) | 3.35 (3.05–3.69) | −23.52 | |
Male | 13.57 (12.8–14.36) | 12.86 (11.95–13.80) | −5.23 | 8.21 (7.64–8.78) | 6.07 (5.39–6.79) | −26.07 | ||
Female | 2.67 (2.49–2.85) | 3.37 (3.08–3.67) | 26.22 | 1.71 (1.57–1.85) | 1.6 (1.40–1.84) | −6.43 | ||
Tropical Latin America | Both | 4.34 (4.21–4.46) | 5.04 (4.87–5.22) | 16.13 | 3.08 (2.97–3.19) | 2.74 (2.60–2.88) | −11.04 | |
Male | 7.47 (7.21–7.72) | 8.21 (7.82–8.57) | 9.91 | 5.44 (5.18–5.70) | 4.66 (4.35–4.94) | −14.34 | ||
Female | 2.13 (2.04–2.22) | 2.80 (2.64–2.96) | 31.46 | 1.51 (1.43–1.59) | 1.46 (1.36–1.58) | −3.31 | ||
North Africa and Middle East | Both | 6.03 (5.55–6.58) | 7.85 (7.31–8.35) | 30.18 | 4.42 (3.95–4.89) | 4.09 (3.78–4.40) | −7.47 | |
Male | 10.27 (9.38–11.25) | 13.39 (12.44–14.31) | 30.38 | 7.64 (6.78–8.48) | 7.10 (6.49–7.73) | −7.07 | ||
Female | 2.32 (2.05–2.58) | 2.81 (2.60–3.07) | 21.12 | 1.71 (1.48–1.96) | 1.49 (1.36–1.64) | −12.87 | ||
High-income North America | Both | 11.90 (11.66–12.15) | 11.67 (11.34–11.97) | −1.93 | 3.95 (3.86–4.04) | 3.73 (3.61–3.86) | −5.57 | |
Male | 20.84 (20.37–21.32) | 19.48 (18.85–20.11) | −6.53 | 7.12 (6.94–7.30) | 6.39 (6.13–6.65) | −10.25 | ||
Female | 5.60 (5.43–5.77) | 5.41 (5.18–5.65) | −3.39 | 1.98 (1.92–2.04) | 1.80 (1.71–1.89) | −9.09 | ||
Oceania | Both | 1.81 (1.58–2.30) | 2.73 (2.44–3.30) | 50.83 | 1.81 (1.59–2.43) | 2.08 (1.81–2.71) | 14.92 | |
Male | 2.43 (2.20–3.15) | 3.79 (3.46–4.59) | 55.97 | 1.03 (0.79–1.40) | 1.19 (0.91–1.60) | 15.53 | ||
Female | 1.27 (0.98–1.66) | 1.85 (1.49–2.35) | 45.67 | 0.28 (0.23–0.33) | 0.23 (0.19–0.28) | −17.86 | ||
Central sub-Saharan Africa | Both | 3.44 (3.12–3.88) | 3.12 (2.85–3.37) | −9.3 | 3.44 (2.94–3.94) | 3.29 (2.93–3.69) | −4.36 | |
Male | 4.97 (4.44–5.87) | 4.46 (3.92–4.97) | −10.26 | 4.98 (3.95–6.05) | 4.67 (3.97–5.49) | −6.22 | ||
Female | 2.35 (2.05–2.75) | 2.08 (1.89–2.30) | −11.49 | 2.36 (2.02–2.82) | 2.23 (1.93–2.54) | −5.51 | ||
Eastern sub-Saharan Africa | Both | 2.90 (2.70–3.10) | 2.94 (2.58–3.23) | 1.38 | 3.25 (2.97–3.59) | 3.29 (2.84–3.60) | 1.23 | |
Male | 3.61 (3.34–3.93) | 3.72 (3.30–4.06) | 3.05 | 4.02 (3.60–4.48) | 4.19 (3.62–4.66) | 4.23 | ||
Female | 2.30 (2.00–2.65) | 2.31 (1.97–2.71) | 0.43 | 2.61 (2.17–3.12) | 2.56 (2.10–3.02) | −1.92 | ||
Central Asia | Both | 4.58 (3.90–5.02) | 4.69 (4.41–4.94) | 2.4 | 2.50 (2.14–2.77) | 2.24 (2.07–2.43) | −10.4 | |
Male | 9.26 (7.84–10.22) | 9.14 (8.53–9.65) | −1.3 | 5.20 (4.42–5.82) | 4.52 (4.11–4.93) | −13.08 | ||
Female | 1.59 (1.39–1.83) | 1.50 (1.39–1.61) | −5.66 | 0.91 (0.79–1.07) | 0.72 (0.65–0.80) | −20.88 | ||
Southern sub-Saharan Africa | Both | 5.58 (4.86–6.13) | 5.85 (5.38–6.27) | 4.84 | 3.60 (2.88–4.15) | 3.5 (3.18–3.83) | −2.78 | |
Male | 8.01 (6.75–9.10) | 9.27 (8.34–10.13) | 15.73 | 5.27 (4.04–6.32) | 5.85 (5.18–6.48) | 11.01 | ||
Female | 3.86 (3.46–4.16) | 3.67 (3.45–3.91) | −4.92 | 2.47 (2.06–2.82) | 2.12 (1.86–2.4) | −14.17 | ||
Western sub-Saharan Africa | Both | 2.41 (2.30–2.55) | 2.23 (2.13–2.32) | −7.47 | 2.77 (2.54–3.02) | 2.53 (2.33–2.79) | −8.66 | |
Male | 3.57 (3.39–3.80) | 3.28 (3.14–3.40) | −8.12 | 4.05 (3.63–4.50) | 3.75 (3.41–4.17) | −7.41 | ||
Female | 1.43 (1.32–1.53) | 1.31 (1.20–1.44) | −8.39 | 1.70 (1.52–1.92) | 1.5 (1.31–1.73) | −11.76 | ||
East Asia | Both | 3.65 (3.52–3.85) | 4.20 (3.95–4.38) | 15.07 | 2.72 (2.59–2.85) | 1.96 (1.85–2.05) | −27.94 | |
Male | 5.91 (5.69–6.27) | 7.10 (6.70–7.36) | 20.14 | 4.49 (4.28–4.79) | 3.34 (3.15–3.49) | −25.61 | ||
Female | 1.84 (1.74–1.94) | 1.63 (1.49–1.78) | −11.41 | 1.40 (1.30–1.50) | 0.82 (0.74–0.90) | −41.43 | ||
South Asia | Both | 2.32 (2.08–2.50) | 2.69 (2.52–2.83) | 15.95 | 2.08 (1.87–2.33) | 1.97 (1.86–2.11) | −5.29 | |
Male | 3.35 (3.00–3.62) | 4.18 (3.86–4.43) | 24.78 | 3.10 (2.83–3.52) | 3.20 (2.97–3.43) | 3.23 | ||
Female | 1.29 (1.16–1.49) | 1.29 (1.24–1.36) | 0 | 1.33 (1.09–1.64) | 1.08 (0.98–1.20) | −18.8 | ||
Southeast Asia | Both | 2.63 (2.42–2.93) | 3.34 (3.21–3.48) | 27 | 2.08 (1.87–2.33) | 1.97 (1.86–2.11) | −5.29 | |
Male | 4.07 (3.83–4.56) | 5.59 (5.31–5.84) | 37.35 | 3.10 (2.83–3.52) | 3.20 (2.97–3.43) | 3.23 | ||
Female | 1.52 (1.29–1.80) | 1.58 (1.47–1.72) | 3.95 | 1.33 (1.09–1.64) | 1.08 (0.98–1.20) | −18.8 | ||
Australasia | Both | 11.72 (11.20–12.28) | 9.44 (8.81–10.14) | −19.45 | 4.15 (3.97–4.34) | 3.24 (2.97–3.54) | −21.93 | |
Male | 20.58 (19.50–21.78) | 15.54 (14.23–16.95) | −24.49 | 7.31 (6.88–7.76) | 5.33 (4.78–5.92) | −27.09 | ||
Female | 5.27 (4.90–5.65) | 4.35 (3.92–4.80) | −17.46 | 2.13 (1.97–2.28) | 1.64 (1.44–1.88) | −23 | ||
Caribbean | Both | 5.08 (4.84–5.37) | 5.61 (5.35–5.89) | 10.43 | 3.00 (2.82–3.22) | 2.74 (2.56–2.94) | −8.67 | |
Male | 7.76 (7.37–8.19) | 8.76 (8.26–9.27) | 12.89 | 4.58 (4.29–4.90) | 4.32 (3.93–4.71) | −5.68 | ||
Female | 2.75 (2.53–3.01) | 3.00 (2.77–3.25) | 9.09 | 1.67 (1.50–1.88) | 1.50 (1.33–1.69) | −10.18 | ||
Central Europe | Both | 9.23 (9.03–9.45) | 12.05 (11.62–12.51) | 30.55 | 4.70 (4.55–4.84) | 4.89 (4.66–5.17) | 6.82 | |
Male | 17.08 (16.59–17.55) | 21.60 (20.72–22.52) | 26.46 | 9.05 (8.70–9.36) | 9.37 (8.81–10.01) | 6.94 | ||
Female | 3.68 (3.55–3.81) | 5.16 (4.82–5.51) | 40.22 | 1.83 (1.76–1.91) | 1.94 (1.79–2.1) | 9.95 | ||
Eastern Europe | Both | 8.84 (7.70–9.60) | 8.31 (7.84–8.80) | −6 | 4.02 (3.49–4.42) | 3.53 (2.90–4.25) | −12.19 | |
Male | 20.46 (17.59–22.39) | 18.04 (16.84–19.34) | −11.83 | 10.34 (8.86–11.50) | 8.37 (6.68–10.22) | −19.05 | ||
Female | 3.06 (2.73–3.45) | 2.85 (2.62–3.09) | −6.86 | 1.26 (1.09–1.43) | 1.08 (0.79–1.44) | −14.29 |
Data in the parentheses indicates 95% uncertainty interval (95% UI). SDI, Sociodemographic index (a summary indicator of income per capita, educational attainment, and fertility).
Trends in the age-standardized death rate (ASDR) of bladder cancer in the period from 1990 to 2016
Globally, the ASDR of bladder cancer decreased from 3.58 (95% UI, 3.49–3.68) in 1990 to 2.94 (95% UI, 2.85–3.03) in 2016. Between 1990 and 2016, changes in ASDRs was highest among men in low-middle SDI countries, where the ASDRs increased by 4.58% from 2.84 (95% UI, 2.45–3.14) to 2.97 (95% UI, 2.71–3.21). Between 1990 and 2016, in terms of region, the highest changes in ASDR occurred in Oceania, followed by Central Europe. Simultaneously, ASDR decreased substantially in East Asia and Southern Latin America. Globally, the mortality rates of bladder cancer were higher among males than females, with male-to-female ratios of 3.7:1, which indicated that the age-standard bladder cancer death rate (per 100,000 people) among men [5.10 (4.93–5.27)] was approximately 3.7-fold higher than among women [1.35 (1.28–1.41)] (Table 2, Figures 2,3).
Projections of bladder cancer incidence and mortality from 2017 to 2030
This study also forecast the trends in the incidence and mortality rates of bladder cancer from 2017 to 2030. Bladder cancer will occur most frequently in high SDI countries, followed by high-middle SDI countries. Bladder cancer incidence rates may increase substantially in middle SDI countries, while incidence rates for both men and women should remain relatively stable in other SDI countries. Deaths due to bladder cancer will continue to increase in low SDI countries, while in other SDI countries the decrease from 1990 will continue to 2030. Globally, the probability of developing bladder cancer for men between the ages of 30 and 70 is around 1.32%, compared to 0.32% for women. In other words, the estimated risk of suffering from bladder cancer is higher among men than women. Similar results can be seen in other age intervals and SDI countries (Table 3, Figure 4).
Table 3. Probability of developing bladder cancer within selected age intervals, globally, and by SDI quintile, by sex, 2006–2016 in % (odds).
Location/ SDI quintile | Birth to age 49 | Age 50 to 59 | Age 60 to 69 | Age 70 to 79 | Age 30 to 70 | Birth to age 79 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | Female | Male | Female | Male | Female | Male | Female | Male | Female | Male | Female | ||||||
Global | 0.05 (1 in 1,961) | 0.02 (1 in 5,319) | 0.14 (1 in 740) | 0.04 (1 in 2,679) | 0.38 (1 in 266) | 0.09 (1 in 1,169) | 0.77 (1 in 130) | 0.18 (1 in 561) | 1.32 (1 in 76) | 0.32 (1 in 315) | 1.33 (1 in 75) | 0.32 (1 in 313) | |||||
High- middle SDI | 0.06 (1 in 1,588) | 0.02 (1 in 4,868) | 0.18 (1 in 542) | 0.04 (1 in 2,558) | 0.52 (1 in 193) | 0.09 (1 in 1,135) | 0.98 (1 in 103) | 0.18 (1 in 568) | 1.73 (1 in 58) | 0.32 (1 in 311) | 1.73 (1 in 58) | 0.32 (1 in 309) | |||||
High SDI | 0.08 (1 in 1,227) | 0.04 (1 in 2,800) | 0.27 (1 in 375) | 0.07 (1 in 1,388) | 0.71 (1 in 140) | 0.16 (1 in 618) | 1.39 (1 in 72) | 0.32 (1 in 316) | 2.43 (1 in 41) | 0.58 (1 in 172) | 2.44 (1 in 41) | 0.58 (1 in 171) | |||||
Low-middle SDI | 0.03 (1 in 3,478) | 0.01 (1 in 8,843) | 0.06 (1 in 1,621) | 0.02 (1 in 4,529) | 0.15 (1 in 646) | 0.05 (1 in 2,066) | 0.26 (1 in 377) | 0.08 (1 in 1,206) | 0.51 (1 in 197) | 0.16 (1 in 611) | 0.51 (1 in 196) | 0.16 (1 in 608) | |||||
Low SDI | 0.03 (1 in 3,864) | 0.02 (1 in 6,406) | 0.05 (1 in 2,020) | 0.03 (1 in 3,135) | 0.13 (1 in 787) | 0.07 (1 in 1,453) | 0.26 (1 in 385) | 0.10 (1 in 964) | 0.46 (1 in 217) | 0.22 (1 in 457) | 0.46 (1 in 217) | 0.22 (1 in 455) | |||||
Middle SDI | 0.05 (1 in 1,885) | 0.02 (1 in 5,801) | 0.10 (1 in 1,034) | 0.03 (1 in 3,640) | 0.24 (1 in 422) | 0.05 (1 in 1,855) | 0.43 (1 in 232) | 0.11 (1 in 927) | 0.81 (1 in 123) | 0.20 (1 in 490) | 0.82 (1 in 122) | 0.21 (1 in 485) |
Data in the parentheses indicates 95% uncertainty interval (95% UI). SDI, sociodemographic index (a summary indicator of income per capita, educational attainment, and fertility).
Discussion
The estimates presented in this study reveal remarkable differences in trends in the incidence and death rates of bladder cancer from 1990 to 2016. New bladder cancer diagnoses and related deaths increased while the ASIR and ASDR decreased over the same time period. At a global level, between 1990 and 2016, the decreasing incidence rate of bladder cancer was particularly noticeable. Cancer outcomes depend on health care expenditures as well as adequate diagnosis and treatment services (11). Trends in the incidence and death rates of bladder cancer were evaluated for both sexes, and these rates were observed to be greater in males than females across all SDI countries and most regions. A large proportion of the increase in bladder cancer incidence can be attributed to improving life expectancy and population growth (16). Tobacco smoking is the dominant risk factor for bladder cancer and is associated with 50–65% of male cases and 20–30% of female cases (17-19). Furthermore, genetic predisposition, occupational exposure to aromatic amines, polycyclic aromatic hydrocarbons, chlorinated hydrocarbons, cyclophosphamide, pioglitazone, exposure to ionising radiation, and chlorination of drinking water and subsequent levels of trihalomethanes have all been suggested as contributing to the development of bladder cancer (20). Clinically, early symptoms of bladder cancer include bloody urine or pain during urination. In its early stages, the disease can be treated cystoscopically plus immunotherapy with Bacillus Calmette-Guérin (BCG) (21); however, up to 70% of tumors recur (22,23). Early detection of bladder cancer and a high recurrence rate of bladder cancer may be two of the reasons for the sharp increase in the incidence and deaths of bladder cancer seen in recent years.
For chronic diseases such as bladder cancer, it is especially important to develop appropriate and reasonable strategies for prevention and control. Epidemiology references are absolutely imperative in bladder cancer prevention, screening, and treatment. In our study, data of bladder cancer were analyzed by age group, gender, geographical region, and SDI. We found that there are differences in the incidence and mortality of bladder cancer regardless of age group, gender, region, or SDI. Additionally, we also forecast the trends in the incidence and mortality rates of bladder cancer from 2017 to 2030. What we did has considerable significance in terms of the proposal of bladder cancer prevention and control strategies. However, although we extracted the data accurately, there is likely a small amount of bias in the prediction results. However, future trends in bladder cancer are worthy of attention.
Conclusions
Globally, between 1990 and 2016, the incidence and death cases of bladder cancer increased substantially, while the ASIR and ASDR of bladder cancer decreased. The incidence and mortality rates of bladder cancer will continue to increase among some SDI countries and regions in the next 15 years. Policy makers in different regions should devise improved strategies for bladder cancer prevention and control.
Supplementary
Acknowledgments
We thank the Global Burden of Disease Study for collection of the GBD data.
Funding: This study was funded by the National Natural Science Foundation of China (No. 91746205), IBM Global University Programs (2018 IBM Shared University Research Award), Natural Science Foundation of Tianjin (No. 17JCYBJC26000), Tianjin Technical Expert Project and Hospital Innovation & Management Research Project of Tianjin Medical University (No. 2019YG08).
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Footnotes
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tau.2020.02.24). The authors have no conflicts of interest to declare.
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