Literature DB >> 32420122

Temporal trends of bladder cancer incidence and mortality from 1990 to 2016 and projections to 2030.

Qiliang Cai1,2, Yegang Chen1, Shuhui Xin3, Dingrong Zhang1, Jiancheng Pan1, Zunke Xie1, Chenjie Xu2, Shu Li2, Xinyu Zhang2, Ying Gao4, Jie Hou5, Xuemei Guo6, Xiaodong Zhou1, Baoshuai Zhang7, Fei Ma8, Wei Zhang1, Guiting Lin9, Zhongcheng Xin1,10, Yuanjie Niu1, Yaogang Wang2.   

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. 2020 Translational Andrology and Urology. All rights reserved.

Entities:  

Keywords:  Bladder cancer; incidence; mortality; over-time trends; projections

Year:  2020        PMID: 32420122      PMCID: PMC7215039          DOI: 10.21037/tau.2020.02.24

Source DB:  PubMed          Journal:  Transl Androl Urol        ISSN: 2223-4683


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 (), 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

LocationRegistry  Years available from registry    Years used for incidenceYears available for MI ratioYears used for MI ratio
AlgeriaAlgiers  1993–199751993–19970
AlgeriaBatna  2000–200672000–20060
AlgeriaOran  2005–200622005–20060
AlgeriaSetif  1986–2007    181986–20070
Antilles except ArubaAntilles except Aruba  1973–19820NANA
ArgentinaBahia Blanca  1993–2007    151993–20070
ArgentinaConcordia  1990–1997    101990–19970
ArgentinaCordoba  2003–200742004–20070
ArgentinaMendoza  2003–200752003–20070
ArgentinaTierra del Fuego  2003–200752003–20070
AustraliaCapital Territory  1978–2007    251983–20070
AustraliaNational Registry  1982–2007    261968–200726
AustraliaNew South Wales  1973–2007    251983–20070
AustraliaNorthern Territory  1993–2007    101998–20070
AustraliaQueensland  1982–2007    151993–20070
AustraliaSouth Australia  1977–2007    311977–20070
AustraliaTasmania  1978–2007    301978–20070
AustraliaVictoria  1982–2007    251983–20070
AustraliaWestern Australia  1982–2007    251983–20070
AustriaNational Registry  1983–2010    311983–20107
AustriaSalzburg  NA    NA1999–20060
AustriaTyrol  1988–200701988–20070
AustriaVorarlberg  1993–200701993–20070
BahrainNational Registry  1998–2007    101998–20070
BelarusNational Registry  1983–2007    251983–20070
BelgiumAntwerp  1998–200251998–20020
BelgiumFlanders  1998–200141998–20010
BelgiumFlanders except Limburg  1997–199821997–19980
BelgiumLimburg  1997–199821997–19980
BelgiumNational Registry  2003–201072003–20100
BermudaBermuda  1983–198751983–19870
BrazilAracaju  1996–2012171996–20120
BrazilBarretos  2008–201362008–20130
BrazilBelem  1989–2009171989–20090
BrazilBelo Horizonte  2000–200892000–20080
BrazilBrasilia  1998–200141998–20010
BrazilCampinas  1991–2005151991–20050
BrazilCampo Grande  2000–200962000–20090
BrazilCuiaba  2000–200782000–20070
BrazilCuritiba  1998–2010131998–20100
BrazilDistrito Federal  1999–200241999–20020
BrazilEspirito Santo  1997–2012161997–20120
BrazilFlorianopolis  2008–201252008–20120
BrazilFortaleza  1978–2006251978–20060
BrazilGoiania  1988–2009221988–20090
BrazilJahu  1996–2013181996–20130
BrazilJoao Pessoa  1999–2010121999–20100
BrazilManaus  1999–200681999–20060
BrazilMatoGrosso Interior  2001–200552001–20050
BrazilNatal  1999–200571999–20050
BrazilPalmas  2000–2012132000–20120
BrazilPocos de Caldas  2007–201152007–20110
BrazilPorto Alegre  1979–2006221979–20060
BrazilRecife  1968–2010171968–20100
BrazilRoraima  2003–201082003–20100
BrazilSalvador  1996–2005101996–20050
BrazilSantos  2008–200922008–20090
BrazilSao Paulo  1969–2011171969–20110
BrazilTeresina  2000–200672000–20060
BulgariaNational Registry  1993–2010121993–201012
CanadaAlberta  1960–2007321960–20070
CanadaBritish Columbia  1969–2007321969–20070
CanadaManitoba  1958–2007321958–20070
CanadaMaritime  1969–198791969–19870
CanadaNational Registry  1978–2007301978–20070
CanadaNew Brunswick  1962–2007251962–20070
CanadaNewfoundland  1969–2002261969–20020
CanadaNewfoundland and Labrador  1960–200791960–20070
CanadaNorthwest Territories  1983–200701983–20070
CanadaNorthwest Territories and Yukon  1973–198751973–19870
CanadaNova Scotia  1978–2007201978–20070
CanadaOntario  1969–2007231969–20070
CanadaPrince Edward Island  1978–2007161978–20070
CanadaQuebec  1963–2007131963–20070
CanadaSaskatchewan  1960–2007341960–20070
CanadaYukon  1983–200701983–20070
ChileAntofagasta  2003–200702003–20070
ChileBio Bio  2003–200752003–20070
ChileLos Rios  2003–200752003–20070
ChileNational Registry  1959–196101959–19610
ChileValdivia  1998–2007101998–20070
ChinaAnshan  1998–2011111998–201113
ChinaBaoding  2009–201122009–20112
ChinaBeijing  1990–2011221990–201121
ChinaBeijing Rural Areas  2011020110
ChinaBeiliu  2011120111
ChinaBengbu  2011120111
ChinaBenxi  2003–201182003–20118
ChinaBijiang District, Tongren  2011120111
ChinaBincheng District, Binzhou  2011120111
ChinaBinghai  2011120111
ChinaBoli  2011120111
ChinaCangwu  2011120111
ChinaCangzhou  2011120111
ChinaChangfeng  2011120111
ChinaChangle  1990–2011211990–201121
ChinaChangning  2011120111
ChinaChangzhou  2011120111
ChinaChifeng  2009–201122009–20112
ChinaChuzhou District, Huai’an  2004–200732004–20070
ChinaCi County  1990–2009231990–200912
ChinaCili  2011120111
ChinaCixi  2011120111
ChinaCixian  2011120111
ChinaDaan  2011120111
ChinaDafeng  2003–201162003–20118
ChinaDalian City  1998–2011121998–201113
ChinaDancheng  2011120111
ChinaDandong  2008–201132008–20113
ChinaDaoli District, Harbin City  2005–201152005–20116
ChinaDawukou  2011120111
ChinaDazhu  2011120111
ChinaDecheng District, Dezhou  2011120111
ChinaDehui  2009–201122009–20112
ChinaDingan  2011120111
ChinaDonggang  2009–201122009–20112
ChinaDonghai County  2004–201132004–20112
ChinaDunhuang  2011120111
ChinaFaku  2011120111
ChinaFeicheng  1998–2011131998–201113
ChinaFeidong  2011120111
ChinaFeixi County  2009–201122009–20112
ChinaFusui County  1990–2011141990–20118
ChinaFuyuan  2011120111
ChinaGanyu  2004–201122004–20111
ChinaGanzhou District, Zhangye  2011120111
ChinaGaomi  2011120111
ChinaGaotang  2011120111
ChinaGejiu  2004–201132004–20112
ChinaGongan  2011120111
ChinaGuangrao  2011120111
ChinaGuangzhou City  2000–201192000–201111
ChinaGuannan  2011120111
ChinaGuanyun County  2004–201132004–20113
ChinaGuilin  2011120111
ChinaGuyuan  2011120111
ChinaHai’an County  2009–201122009–20112
ChinaHaimen  2003–201172003–20118
ChinaHainan  2011120111
ChinaHaining  1998–2011111998–201113
ChinaHangzhou City  2000–201192000–201111
ChinaHanjiang District, Putian  2011120111
ChinaHefei  2011120111
ChinaHengdong County  2009–201122009–20112
ChinaHepu  2011120111
ChinaHetian  2011120111
ChinaHong Kong Special Administrative Region of China  1974–2013431974–20138
ChinaHongta District, Yuxi  2011120111
ChinaHongtong  2011120111
ChinaHongze  2011120111
ChinaHuai’an District, Huai’an  1998–2009121998–200912
ChinaHuaiyin District, Huai’an  2009–201122009–20112
ChinaHuangdao District, Qingdao  2011120111
ChinaHuian  2011120111
ChinaHuichuan District, Zunyi  2011120111
ChinaHuinong  2011120111
ChinaHuixian  2011120111
ChinaHuzhu  2011120111
ChinaJiangmen  2011120111
ChinaJianhu County  2003–201162003–20118
ChinaJianou  2011120111
ChinaJianping  2011120111
ChinaJiashan County  1990–2011221990–201121
ChinaJiaxing  2000–2011102000–201111
ChinaJilin  2011120111
ChinaJinan  2011120111
ChinaJingan  2011120111
ChinaJingtai County  2009–201122009–20112
ChinaJingxian  2011120111
ChinaJingyang  2011120111
ChinaJinhu County  2007–201132007–20114
ChinaJintan District  2003–201162003–20117
ChinaJinzhai  2011120111
ChinaJiulongpo District, Chongqing  2004–201132004–20114
ChinaJiyuan  2011120111
ChinaJunan  2011120111
ChinaKaihua  2011120111
ChinaKailu  2011120111
ChinaKaiyang  2011120111
ChinaKangping  2011120111
ChinaKunes County  2009120091
ChinaLanping  2011120111
ChinaLanzhou  2011120111
ChinaLeishan  2011120111
ChinaLeshan  2011120111
ChinaLhasa  2011120111
ChinaLiangzhou District  2008–201132008–20113
ChinaLianhu District, Xi’an  2011120111
ChinaLianshui  2011120111
ChinaLianyungang  2004–201142004–20114
ChinaLingbi  2011120111
ChinaLinhe District, Bayannaoer  2011120111
ChinaLinqu County  1998–2011111998–201113
ChinaLintan  2011120111
ChinaLinxian  2011120111
ChinaLinzhou  1990–2011191990–201121
ChinaLiuzhou  2009–201122009–20112
ChinaLiyang  2011120111
ChinaLongnan  2011120111
ChinaLongquanyi District, Chengdu  2011120111
ChinaLujiang  2011120111
ChinaLuoshan  2011120111
ChinaLuoyang  2011120111
ChinaLushan  2011120111
ChinaMa’anshan  2003–201162003–20118
ChinaMacao Special Administrative Region of China  2003–200752003–20070
ChinaMacheng  2011120111
ChinaMaiji District, Tianshui  2011120111
ChinaMayang  2011120111
ChinaMeixian  2011120111
ChinaMinhe  2011120111
ChinaNaidong  2011120111
ChinaNangang District, Harbin City  1992–2011201992–201114
ChinaNantong  2011120111
ChinaNeixiang  2011120111
ChinaNingyang  2011120111
ChinaNongqishi  2011120111
ChinaPengzhou  2011120111
ChinaPingluo  2011120111
ChinaQianxi County  2009–201122009–20112
ChinaQidong County  1983–2011351983–201121
ChinaQingdao  2011120111
ChinaQinghe  2011120111
ChinaQingpu  2011120111
ChinaQingyang District, Chengdu  2009–201122009–20112
ChinaQinhuangdao  2011120111
ChinaQionghai  2011120111
ChinaRenhe District, Panzhihua  2011120111
ChinaRushan  2011120111
ChinaSanmenxia  2011120111
ChinaSanya  2011120111
ChinaShangdong  1993–19970NANA
ChinaShanggao  2011120111
ChinaShanghai  1975–2011311975–201121
ChinaShangyu  2009–201122009–20112
ChinaShangzhi  2009–201122009–20112
ChinaShangzhou District, Shangluo  2011120111
ChinaShapingba District, Chongqing  2011120111
ChinaShenqiu  2011120111
ChinaShenyang City  2003–201172003–20118
ChinaShenzen City  2004–201122004–20111
ChinaShexian County  2003–201182003–20118
ChinaSheyang County  2008–201132008–20113
ChinaShifeng District, Zhuzhou  2011120111
ChinaShihezi  2011120111
ChinaShouxian  2011120111
ChinaShouyang  2011120111
ChinaSihui  1998–2011111998–201113
ChinaSuzhou  2006–201142006–20115
ChinaTaixing  2004–201142004–20116
ChinaTengchong  2011120111
ChinaTengzhou  2011120111
ChinaTianchang  2011120111
ChinaTianjin  1981–2011221981–201116
ChinaTianjin Rural Areas  2011020110
ChinaTianshan District, Urumqi  2011120111
ChinaTong’an District, Xiamen  2011120111
ChinaTongguan  2011120111
ChinaTonghua  2011120111
ChinaTongling  2008–201132008–20113
ChinaWanzhouqu District, Chongqing  2011120111
ChinaWenshang County  2009–201122009–20112
ChinaWuan  2011120111
ChinaWufeng  2011120111
ChinaWuhan City  1990–2011221990–201118
ChinaWuhu  2011120111
ChinaWuning  2011120111
ChinaWuwei  2004120040
ChinaWuxi  2006–201122006–20112
ChinaXiamen City  2009–201122009–20112
ChinaXiang’an District, Xiamen  2011120111
ChinaXiangfang District, Harbin  2011120111
ChinaXianju County  2009–201122009–20112
ChinaXilinhaote  2011120111
ChinaXinghualing District, Taiyuan  2011120111
ChinaXining  2009–201122009–20112
ChinaXinyuan  2011120111
ChinaXinzhou District, Shangrao  2011120111
ChinaXiping County  2009–201122009–20112
ChinaXuanwei  2011120111
ChinaXuyi County  2009–201122009–20112
ChinaXuzhou  2011120111
ChinaYakeshi  2011120111
ChinaYancheng  2011120111
ChinaYancheng District, Luohe  2011120111
ChinaYangcheng County  2003–201162003–20118
ChinaYangquan  2009–201122009–20112
ChinaYangshan  2011120111
ChinaYangzhong  1998–2011121998–201113
ChinaYanji  2009–201122009–20112
ChinaYanshi  2009–201122009–20112
ChinaYantai  2011120111
ChinaYanting County  1998–2011101998–201113
ChinaYinchuan  2011120111
ChinaYingdong District, Fuyang  2011120111
ChinaYingshan  2011120111
ChinaYiyuan  2011120111
ChinaYongding  2011120111
ChinaYongqiao District, Suzhou  2011120111
ChinaYuanhui District, Luohe  2011120111
ChinaYuanqu  2011120111
ChinaYucheng  2011120111
ChinaYuci District, Jinzhong  2011120111
ChinaYueyanglou  2011120111
ChinaYunmeng County  2009–201122009–20112
ChinaYuzhong District, Chongqing  2011120111
ChinaYuzhou  2011120111
ChinaZanhuang  2011120111
ChinaZhanggong District  2009120091
ChinaZhanggong District, Ganzhou  2011120111
ChinaZhangqiu  2011120111
ChinaZhaoling District, Luohe  2011120111
ChinaZhaoyuan  2011120111
ChinaZhongshan  1998–2011121998–201113
ChinaZhongshan County  2004–200732004–20070
ChinaZhongwei  2011120111
ChinaZhongxiang  2011120111
ChinaZhuanghe  2009–201122009–20112
ChinaZhuhai  2011120111
ChinaZiliujing District  2009120091
ChinaZiliujing District, Zigong  2011120111
ChinaZixing  2011120111
ChinaZoucheng  2011120111
ColombiaBucaramanga  2003–200752003–20070
ColombiaCali  1962–2007401962–20070
ColombiaManizales  2003–200752003–20070
ColombiaNational Registry  2003–201002003–20100
ColombiaPasto  2003–200752003–20070
Costa RicaNational Registry  1980–2011331980–20130
Cote d’IvoireNational Registry  1995–199731995–19970
CroatiaNational Registry  1988–2010231988–20108
CubaNational Registry  1968–1987111968–19860
CubaVilla Clara  1995–200771995–20070
CyprusNational Registry  1998–200791998–20074
Czech RepublicNational Registry  1983–2010271983–20105
DenmarkNational Registry  1953–2014501953–201435
EcuadorCuenca  2003–200752003–20070
EcuadorQuito  1985–2007251985–20070
EgyptAswan  2008120080
EgyptDamietta  2009120090
EgyptGharbiah  1999–200791999–20070
EgyptMinia  2009120090
EstoniaNational Registry  1968–2011441968–20095
FijiNational Registry  1998–2010131998–201011
FinlandNational Registry  1953–2014501953–201435
FranceBas Rhin  1975–2007331975–20070
FranceCalvados  1978–2007301978–20070
FranceCalvados Digestive  1978–200961978–20090
FranceCote d’Or  1980–2009301980–20090
FranceDoubs  1977–2009361977–20090
FranceFinistere Digestive  1984–2009261984–20090
FranceHaut Rhin  1988–2009211988–20090
FranceHerault  1987–2009261987–20090
FranceIsere  1979–2009301979–20090
FranceLoire Atlantique  1991–2009181991–20090
FranceManche  1994–2009191994–20090
FranceNord  2005–200932005–20090
FranceNormandy  2002–200982002–20090
FranceSomme  1982–2009271982–20090
FranceTarn  1982–2009271982–20090
FranceVendee  1998–2007101998–20070
French PolynesiaFrench Polynesia  1988–20020NANA
GermanyBavaria  2002–200702002–20070
GermanyBerlin  1998–200721998–20070
GermanyBrandenburg  1998–200721998–20070
GermanyBremen  2000–200802000–20080
GermanyEastern States (former GDR)  1964–1989221964–19890
GermanyFree State of Saxony  1998–200721998–20070
GermanyHamburg  1969–2009161969–20102
GermanyLower Saxony  2003–200702003–20070
GermanyMecklenburg  1998–200721998–20070
GermanyMecklenburg–West Pomerania  1998–200701998–20070
GermanyMunich  1998–200701998–20070
GermanyNational Registry  2000–2010112000–201011
GermanyNorth Rhine Westphalia  1998–200721994–20072
GermanyRhineland Palatinate  2000–200702000–20070
GermanySaarland  1968–2007301968–200730
GermanySaxony–Anhalt  1998–200721998–20070
GermanySchleswig Holstein  1998–200721998–20072
GermanyThuringen  1998–200721998–20070
GermanyWestphalia  1998–200701998–20070
GreeceNational Registry  1990–199101990–19910
GreenlandGreenland  1980–2014351980–201432
GrenadaSt. George’s Central Hospital  1996–200051996–20000
GuineaConakry  1992–199541992–19950
HungaryCounty Szabolcs-Szatmar  1962–1987181962–19870
HungaryCounty Vas  1962–1987201962–19870
HungaryMiskolc  1962–196601962–19660
HungaryNational Registry  2001–2011112001–20110
IcelandNational Registry  1955–2014501955–201435
IndiaAhmedabad  1983–200512NANA
IndiaAhmedabad Rural  2006–20105NANA
IndiaAhmedabad Urban  2006–20137NANA
IndiaAizawl  2005–20145NANA
IndiaAurangabad  2005–20149NANA
IndiaBangalore  1982–201224NANA
IndiaBarshi Expanded  2009–20122NANA
IndiaBarshi Rural  1988–201420NANA
IndiaBhopal  2004–201311NANA
IndiaCachar  2007–20147NANA
IndiaChandigarh Union Territory  20131NANA
IndiaChennai  1982–201334NANA
IndiaDelhi  1993–201221NANA
IndiaDibrugarh  2005–201411NANA
IndiaDindigulAmbilikkai  2003–20137NANA
IndiaImphal  2005–20145NANA
IndiaKamrup Urban  2005–201411NANA
IndiaKarunagappally  1991–200717NANA
IndiaKolkata  2005–20126NANA
IndiaKollam  2006–20148NANA
IndiaManipur  2006–20105NANA
IndiaManipur ExclImphal West  2009–20145NANA
IndiaMansa District  20131NANA
IndiaMeghalaya  2010–20145NANA
IndiaMizoram  2003–201010NANA
IndiaMizoram ExclAizawl  2005–20145NANA
IndiaMumbai  1964–201250NANA
IndiaNagaland  2010–20144NANA
IndiaNagpur  1980–201320NANA
IndiaNaharlagunExclPapum Pare  2012–20143NANA
IndiaPapum Pare  2012–20143NANA
IndiaPasighat  2012–20143NANA
IndiaPatiala District  2012–20143NANA
IndiaPune  1973–201332NANA
IndiaS.A.S Nagar District  20131NANA
IndiaSangrur District  20131NANA
IndiaSikkim  2003–201414NANA
IndiaSilchar  2005–20062NANA
IndiaTamil Nadu  2012–20132NANA
IndiaTripura  2010–20144NANA
IndiaTrivandrum  1991–201421NANA
IndiaWardha  2010–20145NANA
IranArdabil  1985–200881985–20080
IranGolestan  1996–200781996–20070
IranNational Registry  2003–200782003–20070
IraqNational Registry  2007–201132007–20110
IrelandNational Registry  1994–2010161994–20100
IrelandSouthern Ireland  1980–1992121980–19920
IsraelNational Registry  1960–2010131960–20100
ItalyAlto Adige  2003–200642003–20060
ItalyBiella  1995–2007131995–20070
ItalyBrescia  1999–200771999–20060
ItalyCatania and Messina  2003–200532003–20050
ItalyCatanzaro  2003–200752003–20070
ItalyComo  2003–200752003–20070
ItalyFerrara  1991–2007171991–20070
ItalyFlorence  1985–2002181985–20020
ItalyFlorence and Prato  1985–2007211985–20050
ItalyFriuli Venezia Giulia  2003–200752003–20070
ItalyGenoa  1986–2007181986–20060
ItalyLatina  1983–2007121983–20070
ItalyLecco  2003–200752003–20070
ItalyMacerata  1991–2000101991–20000
ItalyMantua  2003–200732003–20050
ItalyMilan  1999–200781999–20060
ItalyModena  1988–2007231988–20070
ItalyNaples  1998–2007101998–20070
ItalyNational Registry  2006–200942006–20094
ItalyNorth East Italy  1995–200281995–20020
ItalyNuoro  2003–200752003–20070
ItalyPalermo  2003–200742003–20060
ItalyParma  1978–2007301978–20070
ItalyRagusa  1978–2007311981–20070
ItalyReggio Emilia  1998–2007101998–20070
ItalyRomanga  1985–2007221986–20070
ItalySalerno  1998–200791998–20070
ItalySassari  1993–2007151993–20070
ItalySondrio  1998–2007141998–20070
ItalySouth Lombard  2003–200532003–20050
ItalySouth Tyrol  2003–20070NANA
ItalySyracuse  1999–200791999–20070
ItalyTorino  1984–2007231985–20070
ItalyTrapani  2003–200642003–20060
ItalyTrento  2003–200642003–20060
ItalyTrieste  1983–199261984–19920
ItalyUmbria  1994–2007131994–20071
ItalyVarese  1976–2007321976–20070
ItalyVeneto  1988–2007171988–20060
JamaicaNational Registry  1958–2007251958–20070
JapanAichi  1998–2007111998–20071
JapanFukui  1998–2007101998–20070
JapanFukuoka  1974–197521974–19750
JapanHiroshima  1978–2007281978–20070
JapanMiyagi  1959–2007351959–20070
JapanNagasaki  1973–2007351973–20070
JapanNational Registry  1975–2010361958–201336
JapanNiigata  2003–200752003–20070
JapanOkayama  1966–196901966–19690
JapanOsaka  1963–2007381963–20070
JapanSaga  1984–2007181984–20070
JapanYamagata  1983–2002231983–20020
JordanNational Registry  2001–200882001–20080
KenyaNairobi  2000–200232000–20020
KuwaitNational Registry  1979–2007281979–20070
KyrgyzstanNational Registry  1986–198721986–19870
La MartiniqueLa Martinique  1981–20020NANA
La ReunionLa Reunion  1988–19940NANA
LatviaNational Registry  1983–2007241983–20075
LebanonNational Registry  1998–200741998–20070
LibyaBenghazi  2003–200532003–20050
LithuaniaNational Registry  1978–2011331978–20112
MalawiBlantyre  1994–2007101994–20070
MalaysiaNational Registry  2003120030
MalaysiaPenang  1998–200791998–20070
MalaysiaSarawak  1998–200251998–20020
MaliBamako  1987–1996111987–19960
MaltaNational Registry  1969–2010271969–201015
MongoliaNational Registry  2003–200702003–20070
MoroccoGreater Casablanca  2004120040
MozambiqueLourenco Marques  1956–196001956–19600
NamibiaNational Registry  2000–2009102000–20090
NetherlandsEindhoven  1973–2007271973–20070
NetherlandsMaastricht  1986–200231986–20020
NetherlandsNational Registry  1989–2015191989–20070
NetherlandsThree Provinces  1960–196201960–19620
New ZealandNational Registry  1968–2014321983–20145
NigeriaCalabar  2009–201352009–20130
NigeriaIbadan  1960–196901960–19690
NigeriaMidwestern Nigeria  NANA2008–20090
NorwayNational Registry  1953–2014501953–201435
OmanNational Registry  1993–2012201993–20120
PakistanSouth Karachi  1995–200281995–20020
PalestineWest Bank  2010–201122010–20110
PanamaNational Registry  1988–2011231988–201112
ParaguayAsuncion Region  1988–198921988–19890
PeruLima  1990–199121990–19910
PeruTrujillo  1984–2002191984–20021
PhilippinesManila  1983–2007251983–20070
PhilippinesRizal  1978–2007201978–20070
PolandCieszyn  1968–197751973–19770
PolandCieszyn and NowySacz  1968–197251968–19720
PolandCracow  1968–2006261973–20060
PolandCracow City and District  1965–197251965–19720
PolandFour Rural Areas  1965–196601965–19660
PolandKatowice  1965–197751965–19740
PolandKielce  1988–2007131988–20070
PolandLower Silesia  1984–2007141984–20070
PolandNational Registry  1999–2011131999–201113
PolandNowySacz  1973–1986131973–19860
PolandOpole  1985–198731985–19870
PolandRzeszow  2003–200702003–20070
PolandWarsaw  1988–2002111988–20020
PolandWarsaw Rural  1968–1987151968–19870
PolandWarsaw Urban  1965–2002271965–20020
PortugalAzores  1997–2011141981–201215
PortugalCentre  2003–200752003–20075
PortugalNorth Portugal  2000–200672000–20067
PortugalPorto  1998–200251998–20020
PortugalSouth Portugal  1998–2007101998–20070
PortugalVila Nova de Gaia  1983–1997101983–19970
Puerto RicoNational Registry  NA26NANA
QatarNational Registry  2003–200752003–20070
RomaniaBanat Region  1967019670
RomaniaCluj  2007120071
RomaniaCounty Cluj  1974–1987141974–19870
RomaniaCounty Timis  1970–197231970–19720
RomaniaTimisoara  2008120080
RussiaSt Petersburg  1983–2007191983–20070
SamoaNational Registry  1980–198891980–19880
Saudi ArabiaNational Registry  1994–2012101994–20120
Saudi ArabiaRiyadh  2003–200752003–20070
SenegalDakar  1969–197461969–19740
SerbiaCentral Serbia  2003–200742003–20075
SerbiaNational Registry  1999–200241999–20020
SerbiaVojvodina  1988–1997101988–19970
SeychellesNational Registry  2009–201132009–20110
SingaporeNational Registry  1950–2008441950–20080
SlovakiaNational Registry  1968–2007421968–201030
SloveniaNational Registry  1956–2010491956–20108
South AfricaJohannesburg, Bantu  1953–195501953–19550
South AfricaNational Registry  2003–201142003–20110
South AfricaPROMEC  1998–2007101998–20070
South KoreaBusan  1996–200721996–20070
South KoreaDaegu  1997–200721997–20070
South KoreaDaejeon  1998–200701998–20070
South KoreaGwangju  1998–200701998–20070
South KoreaIncheon  1998–200701998–20070
South KoreaJejudo  2000–200732000–20070
South KoreaKangwha County  1986–1997121986–19970
South KoreaNational Registry  1999–2012121999–20120
South KoreaSeoul  1993–200751993–20070
South KoreaUlsan  1999–200701999–20070
SpainAlbacete  1991–2007161991–20076
SpainAsturias  1988–2007171988–20075
SpainBalears  1988–2005181988–20050
SpainBasque Country  1986–2007201986–20084
SpainCanary Islands  1993–2006101993–20060
SpainCiudad Real  2004–200742004–20070
SpainCuenca  1993–2007151993–20075
SpainGirona  1980–2007271980–200823
SpainGranada  1985–2007221985–200723
SpainLa Rioja  1993–2007121993–200713
SpainMallorca  1988–2007141988–20070
SpainMurcia  1983–2007241983–200725
SpainNavarra  1973–2007321973–200831
SpainTarragona  1980–2007251980–200724
SpainZaragoza  1968–2000331968–20000
Sri LankaNational Registry  2001–200562001–20050
SwedenNational Registry  1958–2014501958–201435
SwedenStockholm  1990–2010211990–20100
SwedenSweden except Stockholm  1990–2010211990–20100
SwitzerlandBasel  1981–200771981–20070
SwitzerlandGeneva  1970–2008191970–200829
SwitzerlandGraubunden  1989–199701989–19970
SwitzerlandGraubunden and Glarus  1989–200901980–200920
SwitzerlandNational Registry  1986–2013251989–20130
SwitzerlandNeuchatel  1974–2007131974–20085
SwitzerlandSt Gallen – Appenzell  1980–200991980–200929
SwitzerlandTicino  1996–200701996–20070
SwitzerlandValais  1989–200701989–20070
SwitzerlandVaud  1975–2007131975–20085
SwitzerlandZurich  1980–200991980–20090
TaiwanNational Registry  1980–2007281980–200728
ThailandBangkok  1995–2007111995–20070
ThailandChiang Mai  1983–2007291983–20070
ThailandChonburi  2001–200782001–20070
ThailandKhonKaen  1988–2007191988–20070
ThailandLampang  1993–2007181993–20070
ThailandLop Buri  2001–200332001–20030
ThailandNakhonPhanom  2001–200332001–20030
ThailandPrachuapKhiri  2001–200332001–20030
ThailandRayong  2001–200332001–20030
ThailandSongkhla  1993–2007161993–20070
ThailandSuratThani  2001–200332001–20030
ThailandUbonRatchathani  2001–200332001–20030
ThailandUdonThani  2001–200332001–20030
The GambiaNational Registry  1987–1998151987–19980
Trinidad and TobagoNational Registry  1995–2006121995–200612
TunisiaCentre Sousse  1998–200251998–20020
TunisiaNorth Tunisia  2003–200532003–20050
TurkeyAnkara  2002–200542002–20050
TurkeyAntalya  1998–2008131998–20080
TurkeyEdirne  2002–200762002–20070
TurkeyEight Provinces  2006–200722006–20070
TurkeyErzurum  2002–200542002–20050
TurkeyEskisehir  2002–200542002–20050
TurkeyIzmir  1998–2008141998–20080
TurkeyNine Provinces  2008120080
TurkeySamsun  2002–200542002–20050
TurkeyTrabzon  2002–200752002–20070
UgandaKampala  1954–2013241954–20130
UkraineNational Registry  2000–201072000–20104
United KingdomAryshire  1970–197231970–19720
United KingdomEast Anglia  1988–199701988–19970
United KingdomEast Midlands  1981–2014341981–201420
United KingdomEast Scotland  1973–198751973–19870
United KingdomEast of England  1981–2014331981–201420
United KingdomEngland  1993–2007101993–20070
United KingdomEngland and Wales  1979–199001979–19900
United KingdomGreater London  1981–2014341981–201420
United KingdomMerseyside and Cheshire  1959–2002111959–20020
United KingdomNorth East England  1981–2014341981–201420
United KingdomNorth East Scotland  1973–198751973–19870
United KingdomNorth Scotland  1973–198751973–19870
United KingdomNorth West England  1973–2014401973–201420
United KingdomNorthern England and Yorkshire  1998–200701998–20070
United KingdomNorthern Ireland  1993–2011181993–20110
United KingdomOxford  1963–2007181963–20070
United KingdomScotland  1963–2014401963–201425
United KingdomSouth East England  1981–2014341981–201420
United KingdomSouth East Scotland  1973–198751973–19870
United KingdomSouth Thames  1960–2007201960–19970
United KingdomSouth West England  1960–2014371960–201420
United KingdomThames  1998–200701991–20070
United KingdomTrent  1963–200731963–20070
United KingdomWales  1981–2011311981–201120
United KingdomWessex  1988–199201988–19920
United KingdomWest Midlands  1960–2014441960–201420
United KingdomWest Scotland  1975–199201975–19920
United KingdomYorkshire  1983–200271983–20020
United KingdomYorkshire and the Humber  1981–2014341981–201420
United StatesAlabama  1998–2011101998–20070
United StatesAlameda County  1969–198751983–19870
United StatesAlaska  1998–2011101998–20070
United StatesAlaska Natives  1992–20130NANA
United StatesArizona  1998–2011101998–20070
United StatesArkansas  2001–201152003–20070
United StatesAtlanta  1973–2013391973–201336
United StatesCalifornia  1998–2011101998–20070
United StatesCalifornia except SF, SJ–M, & LA  2000–2013142000–20139
United StatesCentral California  1988–199251988–19920
United StatesColorado  1998–2011101998–20070
United StatesConnecticut  1960–2013411960–201337
United StatesDelaware  1999–201152003–20070
United StatesDetroit  1969–2013411973–201337
United StatesDistrict of Columbia  1998–201151998–20020
United StatesEl Paso  1960–197001960–19700
United StatesFlorida  1998–2011101998–20070
United StatesGeorgia  1998–2011101998–20070
United StatesGreater Georgia  1973–2013141973–201313
United StatesHawaii  1960–2013461960–201337
United StatesIdaho  1998–2011101998–20070
United StatesIllinois  1998–2011101998–20070
United StatesIndiana  1998–2011101998–20070
United StatesIowa  1969–2013411973–201337
United StatesKansas  1999–20110NANA
United StatesKentucky  1973–2013191973–201319
United StatesLos Angeles  1973–2013411973–201324
United StatesLouisiana  1973–2013291973–201318
United StatesMaine  1998–2011101998–20070
United StatesMaryland  1999–20110NANA
United StatesMassachusetts  1998–2011101998–20070
United StatesMichigan  1998–2011101998–20070
United StatesMinnesota  1999–20110NANA
United StatesMississippi  2003–201152003–20070
United StatesMissouri  1998–2011101998–20070
United StatesMontana  1998–2011101998–20070
United StatesNational Registry  1962–200701962–20070
United StatesNebraska  1999–201152003–20070
United StatesNevada  1959–201001959–19660
United StatesNew Hampshire  1999–201152003–20070
United StatesNew Jersey  1973–2013241973–201319
United StatesNew Mexico  1969–2013451969–201337
United StatesNew Orleans  1974–2007171983–20070
United StatesNew York  1993–2011151993–20070
United StatesNew York City  1978–19870NANA
United StatesNew York except New York City  1959–198701959–19610
United StatesNorth Carolina  1999–201152003–20070
United StatesNorth Dakota  1999–201152003–20070
United StatesOhio  1998–2011101998–20070
United StatesOklahoma  1998–2011101998–20070
United StatesOregon  1998–2011101998–20070
United StatesPennsylvania  1998–2011101998–20070
United StatesRhode Island  1998–2011101998–20070
United StatesRural Georgia  1973–2013221973–201324
United StatesSan Francisco  1969–2007291973–20070
United StatesSan Francisco, Oakland, San Mateo, and Surrounding Area  1973–2013411973–201336
United StatesSan Jose Monterey  1973–2013221973–201324
United StatesSeattle  1973–2013401973–201336
United StatesSouth Carolina  1998–2011101998–20070
United StatesSouth Dakota  2001–201152003–20070
United StatesTennessee  2003–201152003–20070
United StatesTexas  1998–2011101998–20070
United StatesUtah  1966–2013411973–201337
United StatesVermont  1998–2011101998–20070
United StatesVirginia  2003–201152003–20070
United StatesWashington  1998–2011101998–20070
United StatesWest Virginia  1998–2011101998–20070
United StatesWisconsin  1998–2011101998–20070
United StatesWyoming  1999–201152003–20070
UruguayMontevideo  1990–199561990–19950
UruguayNational Registry  2002–200782002–20070
VietnamHanoi  1991–199781991–19970
VietnamHo Chi Minh  1995–199841995–19980
ZimbabweBulawayo  1963–197251963–19720
ZimbabweHarare  1990–2006171990–20060
ZimbabweNational Registry  2005–200622005–20060

NA, not available.

Table S2

Number of site-years for bladder cancer mortality data

CauseVR GBD 2015VR GBD 2016VR change GBD 2015 to GBD 2016VA GBD 2015VA GBD 2016VA change GBD 2015 to GBD 2016CR GBD 2015CR GBD 2016CR change GBD 2015 to GBD 2016Total GBD 2015Total GBD 2016Total change GBD 2015 to GBD 2016
Bladder cancer10,10016,01059%2,4262,6569%12,52618,66649%

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

LocationSDI quintile
AndorraHigh SDI
AustraliaHigh SDI
AustriaHigh SDI
BelgiumHigh SDI
BruneiHigh SDI
CanadaHigh SDI
CroatiaHigh SDI
CyprusHigh SDI
Czech RepublicHigh SDI
DenmarkHigh SDI
EstoniaHigh SDI
FinlandHigh SDI
FranceHigh SDI
GeorgiaHigh SDI
GermanyHigh SDI
GreeceHigh SDI
IcelandHigh SDI
IrelandHigh SDI
ItalyHigh SDI
JapanHigh SDI
LatviaHigh SDI
LithuaniaHigh SDI
LuxembourgHigh SDI
MaltaHigh SDI
NetherlandsHigh SDI
New ZealandHigh SDI
NorwayHigh SDI
PolandHigh SDI
Puerto RicoHigh SDI
SingaporeHigh SDI
SlovakiaHigh SDI
SloveniaHigh SDI
South KoreaHigh SDI
SwedenHigh SDI
SwitzerlandHigh SDI
TaiwanHigh SDI
United KingdomHigh SDI
United StatesHigh SDI
Virgin Islands, United StatesHigh SDI
Antigua and BarbudaHigh‐middle SDI
ArgentinaHigh‐middle SDI
ArmeniaHigh‐middle SDI
AzerbaijanHigh‐middle SDI
BarbadosHigh‐middle SDI
BelarusHigh‐middle SDI
BermudaHigh‐middle SDI
BulgariaHigh‐middle SDI
ChileHigh‐middle SDI
CubaHigh‐middle SDI
GeorgiaHigh‐middle SDI
GreenlandHigh‐middle SDI
GuamHigh‐middle SDI
HungaryHigh‐middle SDI
IranHigh‐middle SDI
IsraelHigh‐middle SDI
KazakhstanHigh‐middle SDI
KuwaitHigh‐middle SDI
LebanonHigh‐middle SDI
LibyaHigh‐middle SDI
MacedoniaHigh‐middle SDI
MalaysiaHigh‐middle SDI
MauritiusHigh‐middle SDI
MontenegroHigh‐middle SDI
Northern Mariana IslandsHigh‐middle SDI
PanamaHigh‐middle SDI
PortugalHigh‐middle SDI
QatarHigh‐middle SDI
RomaniaHigh‐middle SDI
RussiaHigh‐middle SDI
Saudi ArabiaHigh‐middle SDI
SerbiaHigh‐middle SDI
SpainHigh‐middle SDI
The BahamasHigh‐middle SDI
Trinidad and TobagoHigh‐middle SDI
TurkeyHigh‐middle SDI
TurkmenistanHigh‐middle SDI
UkraineHigh‐middle SDI
United Arab EmiratesHigh‐middle SDI
AlbaniaMiddle SDI
AlgeriaMiddle SDI
American SamoaMiddle SDI
BahrainMiddle SDI
Bosnia and HerzegovinaMiddle SDI
BotswanaMiddle SDI
BrazilMiddle SDI
ChinaMiddle SDI
ColombiaMiddle SDI
Costa RicaMiddle SDI
DominicaMiddle SDI
Dominican RepublicMiddle SDI
EcuadorMiddle SDI
EgyptMiddle SDI
El SalvadorMiddle SDI
Equatorial GuineaMiddle SDI
FijiMiddle SDI
GrenadaMiddle SDI
GuyanaMiddle SDI
IndonesiaMiddle SDI
JamaicaMiddle SDI
JordanMiddle SDI
MaldivesMiddle SDI
MexicoMiddle SDI
MoldovaMiddle SDI
MongoliaMiddle SDI
OmanMiddle SDI
ParaguayMiddle SDI
PeruMiddle SDI
PhilippinesMiddle SDI
Saint LuciaMiddle SDI
Saint Vincent and the GrenadinesMiddle SDI
SeychellesMiddle SDI
South AfricaMiddle SDI
Sri LankaMiddle SDI
SurinameMiddle SDI
ThailandMiddle SDI
TunisiaMiddle SDI
UruguayMiddle SDI
UzbekistanMiddle SDI
VenezuelaMiddle SDI
VietnamMiddle SDI
BangladeshLow‐middle SDI
BelizeLow‐middle SDI
BhutanLow‐middle SDI
BoliviaLow‐middle SDI
CambodiaLow‐middle SDI
CameroonLow‐middle SDI
Cape VerdeLow‐middle SDI
CongoLow‐middle SDI
Federated States of MicronesiaLow‐middle SDI
GabonLow‐middle SDI
GhanaLow‐middle SDI
GuatemalaLow‐middle SDI
HondurasLow‐middle SDI
IndiaLow‐middle SDI
IraqLow‐middle SDI
KenyaLow‐middle SDI
KyrgyzstanLow‐middle SDI
LaosLow‐middle SDI
LesothoLow‐middle SDI
Marshall IslandsLow‐middle SDI
MauritaniaLow‐middle SDI
MoroccoLow‐middle SDI
MyanmarLow‐middle SDI
NamibiaLow‐middle SDI
NepalLow‐middle SDI
NicaraguaLow‐middle SDI
NigeriaLow‐middle SDI
North KoreaLow‐middle SDI
PakistanLow‐middle SDI
SamoaLow‐middle SDI
SudanLow‐middle SDI
SwazilandLow‐middle SDI
SyriaLow‐middle SDI
TajikistanLow‐middle SDI
Timor-LesteLow‐middle SDI
TongaLow‐middle SDI
VanuatuLow‐middle SDI
ZambiaLow‐middle SDI
ZimbabweLow‐middle SDI
AfghanistanLow SDI
AngolaLow SDI
BeninLow SDI
Burkina FasoLow SDI
BurundiLow SDI
Central African RepublicLow SDI
ChadLow SDI
ComorosLow SDI
Cote d’IvoireLow SDI
Democratic Republic of the CongoLow SDI
DjiboutiLow SDI
EritreaLow SDI
EthiopiaLow SDI
GuineaLow SDI
Guinea-BissauLow SDI
HaitiLow SDI
KiribatiLow SDI
LiberiaLow SDI
MadagascarLow SDI
MalawiLow SDI
MaliLow SDI
MozambiqueLow SDI
NigerLow SDI
PalestineLow SDI
Papua New GuineaLow SDI
RwandaLow SDI
Sao Tome and PrincipeLow SDI
SenegalLow SDI
Sierra LeoneLow SDI
Solomon IslandsLow SDI
SomaliaLow SDI
South SudanLow SDI
TanzaniaLow SDI
The GambiaLow SDI
TogoLow SDI
UgandaLow SDI
YemenLow SDI

SDI, sociodemographic index.

Table S4

Covariates selected for CODEm for each GBD bladder cancer group and expected direction of covariate

CauseSexAge startAge endDirectionCovariate
Bladder cancerMale15–19 years95+ years1Alcohol (liters per capita)
Bladder cancerMale15–19 years95+ years1cumulative cigarettes (10 years)
Bladder cancerMale15–19 years95+ years1cumulative cigarettes (15 years)
Bladder cancerMale15–19 years95+ years1cumulative cigarettes (5 years)
Bladder cancerMale15–19 years95+ years−1Education (years per capita)
Bladder cancerMale15–19 years95+ years0LDI (I$ per capita)
Bladder cancerMale15–19 years95+ years1Population density (over 1,000 ppl/sqkm, proportion)
Bladder cancerMale15–19 years95+ years1Population density (under 150 ppl/sqkm, proportion)
Bladder cancerMale15–19 years95+ years1Smoking prevalence
Bladder cancerMale15–19 years95+ years1Log-transformed SEV scalar: Bladder C
Bladder cancerMale15–19 years95+ years0Sociodemographic index
Bladder cancerMale15–19 years95+ years−1fruits adjusted (g)
Bladder cancerMale15–19 years95+ years−1Vegetables adjusted (g)
Bladder cancerMale15–19 years95+ years−1Healthcare access and quality index
Bladder cancerFemale15–19 years95+ years1Alcohol (liters per capita)
Bladder cancerFemale15–19 years95+ years1Cumulative cigarettes (10 years)
Bladder cancerFemale15–19 years95+ years1Cumulative cigarettes (15 years)
Bladder cancerFemale15–19 years95+ years1Cumulative cigarettes (5 years)
Bladder cancerFemale15–19 years95+ years−1Education (years per capita)
Bladder cancerFemale15–19 years95+ years0LDI (I$ per capita)
Bladder cancerFemale15–19 years95+ years1Population density (over 1,000 ppl/sqkm, proportion)
Bladder cancerFemale15–19 years95+ years1Population density (under 150 ppl/sqkm, proportion)
Bladder cancerFemale15–19 years95+ years1Smoking prevalence
Bladder cancerFemale15–19 years95+ years1Log‐transformed SEV scalar: Bladder C
Bladder cancerFemale15–19 years95+ years0Sociodemographic index
Bladder cancerFemale15–19 years95+ years−1fruits adjusted (g)
Bladder cancerFemale15–19 years95+ years−1Vegetables adjusted (g)
Bladder cancerFemale15–19 years95+ years−1Healthcare 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

CauseSexCovariateGBD 2015GBD 2016
Level 1Level 2Level 3Level 1Level 2Level 3
Bladder cancerMaleCumulative cigarettes (10 years)XX
Bladder cancerMaleCumulative cigarettes (15 years)XX
Bladder cancerMaleCumulative cigarettes (5 years)XX
Bladder cancerMaleEducation (years per capita)XX
Bladder cancerMaleLDI (I$ per capita)XX
Bladder cancerMaleSociodemographic indexXX
Bladder cancerMaleSmoking prevalenceXX
Bladder cancerMaleAlcohol (liters per capita)XX
Bladder cancerMaleLog‐transformed SEV scalar: Bladder CXX
Bladder cancerMalePopulation density (under 150 ppl/sqkm, proportion)XX
Bladder cancerMalePopulation density (over 1,000 ppl/sqkm, proportion)XX
Bladder cancerFemaleCumulative cigarettes (10 years)XX
Bladder cancerFemaleCumulative cigarettes (15 years)XX
Bladder cancerFemaleCumulative cigarettes (5 years)XX
Bladder cancerFemaleEducation (years per capita)XX
Bladder cancerFemaleLDI (I$ per capita)XX
Bladder cancerFemaleSociodemographic indexXX
Bladder cancerFemaleSmoking prevalenceXX
Bladder cancerFemaleAlcohol (liters per capita)XX
Bladder cancerFemaleLog‐transformed SEV scalar: Bladder CXX
Bladder cancerFemalePopulation density (under 150 ppl/sqkm, proportion)XX
Bladder cancerFemalePopulation density (over 1,000 ppl/sqkm, proportion)XX

GBD, Global Burden of Disease.

Table S6

Results for CODEm model testing

CauseSexAge startAge endPredictive validity
RMSE inRMSE outTrend inTrend outCoverage inCoverage out
Bladder cancer (data rich)Male15–19 years95+ years0.2381620.2891990.1932210.214050.9988930.9979
Bladder cancer (global)Male15–19 years95+ years0.2595120.3583560.204380.2118750.9988490.993972
Bladder cancer (global)Female15–19 years95+ years0.2793620.4061510.2170470.2188430.9957970.992228
Bladder cancer (data rich)Female15–19 years95+ years0.2417780.3081280.1974250.2360980.9951390.99458

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

CauseCod Correct levelPercent change (%)
Bladder cancer3−2.19 (−3.56 to −0.52)
Table S8

Disability weights

Health stateLay descriptionEstimateUncertainty interval
Cancer, diagnosis and primary therapyHas pain, nausea, fatigue, weight loss and high anxiety0.2880.193–0.399
Cancer, controlled phaseHas a chronic disease that requires medication every day and causes some worry but minimal interference with daily activities0.0490.031–0.072
Cancer, metastaticHas severe pain, extreme fatigue, weight loss and high anxiety0.4510.307–0.600
Terminal phase, with medicationHas 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 bed0.5400.377–0.687
Table S9

Decomposition analysis of bladder cancer incidence trends at the global and regional levels, and by SDI quintiles, both sexes, 2006 to 2016

LocationIncidence cases, No.Expected incidence cases, 2016, No.Change in incidence cases, 2006 to 2016, %Overall change, %
20062016Given population growth aloneGiven population growth and agingDue to population growthDue to change in age structureDue to change in incidence rate
Global333,876 (329,918 to 337,714)437,442 (426,709 to 447,912)375,373441,58612.419.8−1.231
High SDI171,627 (169,324 to 173,991)213,500 (206,159 to 220,038)180,794213,2675.318.90.124.4
High‐middle SDI76,815 (75,044 to 78,668)96,865 (93,605 to 100,135)85,34299,39211.118.3−3.326.1
Middle SDI56,859 (55,417 to 58,408)85,371 (80,381 to 87,836)61,03477,0347.328.114.750.1
Low‐middle SDI23,940 (22,710 to 25,170)34,771 (32,913 to 36,384)27,91832,38816.618.71045.2
Low SDI6,011 (5,650 to 6,672)8,223 (7,850 to 8,585)7,9528,19732.34.10.436.8

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

Global and regional bladder cancer incident and death cases by geography, gender, and SDI, 1990 and 2016

LocationIncident cases, global and regionalDeath cases, global and regional
1990201619902016
MaleFemaleBothMaleFemaleBothMaleFemaleBothMaleFemaleBoth
Global179,438 [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 SDI101,014 [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 SDI43,298 [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 SDI2,512 [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 SDI9,893 [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 SDI23,751 [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 Pacific8,994 [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 Europe64,281 [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 Latin269 [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]
America1,221 [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 America2,412 [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 America2,131 [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 America7,453 [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 Middle27,248 [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]
East27 [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 America375 [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]
Oceania1,050 [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-Saharan1,572 [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]
Africa844 [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-Saharan1,199 [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]
Africa18,715 [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 Asia8,119 [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-Saharan3,862 [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]
Africa1,881 [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-Saharan845 [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]
Africa9,479 [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 Asia17,461 [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).

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 ().

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

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

LocationSexAge-standardized incidence rates per 100,000Age-standardized death rates per 100,000
19902016Change (%)19902016Change (%)
GlobalBoth7.11 (6.93–7.27)6.69 (6.52–6.85)−5.913.58 (3.49–3.68)2.94 (2.85–3.03)−17.88
Male12.47 (12.713–12.79)11.54 (11.21–11.81)−7.466.29 (6.09–6.50)5.10 (4.93–5.27)−18.92
Female3.18 (3.10–3.27)2.86 (2.75–2.98)−10.061.74 (1.68–1.81)1.35 (1.28–1.41)−22.41
High SDIBoth12.68 (12.49–12.87)11.92 (11.53–12.28)−64.65 (4.58–4.72)3.84 (3.71–3.96)−17.42
Male23.45 (23.01–23.91)20.76 (19.91–21.42)−11.478.74 (8.58–8.91)6.89 (6.60–7.16)−21.17
Female5.25 (5.15–5.35)5.07 (4.84–5.30)−1.522.14 (2.10–2.19)1.70 (1.62–1.79)−20.56
High‐middle SDIBoth7.65 (7.16–7.99)7.62 (7.36–7.88)−0.393.86 (3.61–4.04)3.14 (2.94–3.33)−18.65
Male14.94 (13.91–15.68)14.18 (13.68–14.67)−5.097.84 (7.29–8.28)6.05 (5.63–6.47)−22.83
Female2.79 (2.63–2.95)2.75 (2.58–2.90)−1.431.44 (1.36–1.51)1.15 (1.04–1.28)−20.14
Middle SDIBoth3.44 (3.33–3.61)4.10 (3.86–4.21)19.192.63 (2.53–2.77)2.17 (2.05–2.25)−17.49
Male5.46 (5.29–5.78)6.78 (6.40–6.97)24.184.24 (4.06–4.53)3.62 (3.41–3.77)−14.62
Female1.74 (1.70–1.82)1.76 (1.64–1.85)11.491.35 (1.27–1.42)0.98 (0.91–1.05)−27.41
Low‐middle SDIBoth2.48 (2.22–2.68)2.75 (2.60–2.88)10.892.01 (1.82–2.21)1.94 (2.05–1.80)−3.48
Male3.60 (3.19–3.88)4.29 (4.00–4.56)19.172.84 (2.45–3.14)2.97 (2.71–3.21)4.58
Female1.48 (1.33–1.72)1.39 (1.34–1.44)−6.081.28 (1.07–1.53)1.06 (0.97–1.15)−17.19
Low SDIBoth3.00 (2.79–3.35)2.88 (2.74–3.01)−43.23 (2.97–3.63)3.21 (2.99–3.42)−0.62
Male4.04 (3.80–4.62)3.89 (3.62–4.13)−3.714.32 (3.89–5.02)4.33 (3.93–4.70)0.23
Female2.09 (1.82–2.44)1.99 (1.87–2.13)−4.782.29 (2.70–1.97)2.23 (1.99–2.44)−2.62
High‐income Asia PacificBoth7.12 (6.96–7.27)7.33 (6.85–7.74)2.952.59 (2.53–2.66)2.22 (2.06–2.39)−14.29
Male12.84 (12.49–13.21)13.14 (12.18–13.9)2.344.57 (4.42–4.73)4.09 (3.75–4.44)−10.5
Female3.18 (3.10–3.27)3.00 (2.81–3.23)−5.661.36 (1.32–1.40)1.01 (0.93–1.11)−25.74
Western EuropeBoth15.93 (15.57–16.30)14.66 (13.93–15.24)−7.975.93 (5.81–6.06)4.77 (4.54–4.98)−19.56
Male30.58 (29.75–31.43)26.32 (24.83–27.48)−13.9311.54 (11.25–11.85)8.81 (8.30–9.28)−23.66
Female5.86 (5.70–6.01)5.53 (5.18–5.90)−5.632.53 (2.45–2.60)1.92 (1.79–2.05)−24.11
Andean Latin AmericaBoth2.41 (2.26–2.60)2.27 (2.17–2.38)−5.811.87 (1.73–2.04)1.49 (1.33–1.66)−20.32
Male3.48 (3.28–3.74)3.20 (2.99–3.43)−8.052.74 (2.51–3.00)2.15 (1.86–2.47)−21.53
Female1.53 (1.36–1.71)1.52 (1.41–1.63)−0.651.17 (1.02–1.35)0.98 (0.82–1.15)−16.24
Central Latin AmericaBoth2.48 (2.41–2.53)3.01 (2.93–3.09)21.371.73 (1.68–1.78)1.55 (1.48–1.62)−10.4
Male3.64 (3.53–3.75)4.34 (4.21–4.48)19.232.56 (2.47–2.65)2.28 (2.16–2.41)−10.94
Female1.54 (1.50–1.60)1.93 (1.81–2.00)25.321.09 (1.04–1.13)0.98 (0.91–1.04)−10.09
Southern Latin AmericaBoth7.31 (6.96–7.67)7.32 (6.90–7.76)0.144.38 (4.14–4.63)3.35 (3.05–3.69)−23.52
Male13.57 (12.8–14.36)12.86 (11.95–13.80)−5.238.21 (7.64–8.78)6.07 (5.39–6.79)−26.07
Female2.67 (2.49–2.85)3.37 (3.08–3.67)26.221.71 (1.57–1.85)1.6 (1.40–1.84)−6.43
Tropical Latin AmericaBoth4.34 (4.21–4.46)5.04 (4.87–5.22)16.133.08 (2.97–3.19)2.74 (2.60–2.88)−11.04
Male7.47 (7.21–7.72)8.21 (7.82–8.57)9.915.44 (5.18–5.70)4.66 (4.35–4.94)−14.34
Female2.13 (2.04–2.22)2.80 (2.64–2.96)31.461.51 (1.43–1.59)1.46 (1.36–1.58)−3.31
North Africa and Middle EastBoth6.03 (5.55–6.58)7.85 (7.31–8.35)30.184.42 (3.95–4.89)4.09 (3.78–4.40)−7.47
Male10.27 (9.38–11.25)13.39 (12.44–14.31)30.387.64 (6.78–8.48)7.10 (6.49–7.73)−7.07
Female2.32 (2.05–2.58)2.81 (2.60–3.07)21.121.71 (1.48–1.96)1.49 (1.36–1.64)−12.87
High-income North AmericaBoth11.90 (11.66–12.15)11.67 (11.34–11.97)−1.933.95 (3.86–4.04)3.73 (3.61–3.86)−5.57
Male20.84 (20.37–21.32)19.48 (18.85–20.11)−6.537.12 (6.94–7.30)6.39 (6.13–6.65)−10.25
Female5.60 (5.43–5.77)5.41 (5.18–5.65)−3.391.98 (1.92–2.04)1.80 (1.71–1.89)−9.09
OceaniaBoth1.81 (1.58–2.30)2.73 (2.44–3.30)50.831.81 (1.59–2.43)2.08 (1.81–2.71)14.92
Male2.43 (2.20–3.15)3.79 (3.46–4.59)55.971.03 (0.79–1.40)1.19 (0.91–1.60)15.53
Female1.27 (0.98–1.66)1.85 (1.49–2.35)45.670.28 (0.23–0.33)0.23 (0.19–0.28)−17.86
Central sub-Saharan AfricaBoth3.44 (3.12–3.88)3.12 (2.85–3.37)−9.33.44 (2.94–3.94)3.29 (2.93–3.69)−4.36
Male4.97 (4.44–5.87)4.46 (3.92–4.97)−10.264.98 (3.95–6.05)4.67 (3.97–5.49)−6.22
Female2.35 (2.05–2.75)2.08 (1.89–2.30)−11.492.36 (2.02–2.82)2.23 (1.93–2.54)−5.51
Eastern sub-Saharan AfricaBoth2.90 (2.70–3.10)2.94 (2.58–3.23)1.383.25 (2.97–3.59)3.29 (2.84–3.60)1.23
Male3.61 (3.34–3.93)3.72 (3.30–4.06)3.054.02 (3.60–4.48)4.19 (3.62–4.66)4.23
Female2.30 (2.00–2.65)2.31 (1.97–2.71)0.432.61 (2.17–3.12)2.56 (2.10–3.02)−1.92
Central AsiaBoth4.58 (3.90–5.02)4.69 (4.41–4.94)2.42.50 (2.14–2.77)2.24 (2.07–2.43)−10.4
Male9.26 (7.84–10.22)9.14 (8.53–9.65)−1.35.20 (4.42–5.82)4.52 (4.11–4.93)−13.08
Female1.59 (1.39–1.83)1.50 (1.39–1.61)−5.660.91 (0.79–1.07)0.72 (0.65–0.80)−20.88
Southern sub-Saharan AfricaBoth5.58 (4.86–6.13)5.85 (5.38–6.27)4.843.60 (2.88–4.15)3.5 (3.18–3.83)−2.78
Male8.01 (6.75–9.10)9.27 (8.34–10.13)15.735.27 (4.04–6.32)5.85 (5.18–6.48)11.01
Female3.86 (3.46–4.16)3.67 (3.45–3.91)−4.922.47 (2.06–2.82)2.12 (1.86–2.4)−14.17
Western sub-Saharan AfricaBoth2.41 (2.30–2.55)2.23 (2.13–2.32)−7.472.77 (2.54–3.02)2.53 (2.33–2.79)−8.66
Male3.57 (3.39–3.80)3.28 (3.14–3.40)−8.124.05 (3.63–4.50)3.75 (3.41–4.17)−7.41
Female1.43 (1.32–1.53)1.31 (1.20–1.44)−8.391.70 (1.52–1.92)1.5 (1.31–1.73)−11.76
East AsiaBoth3.65 (3.52–3.85)4.20 (3.95–4.38)15.072.72 (2.59–2.85)1.96 (1.85–2.05)−27.94
Male5.91 (5.69–6.27)7.10 (6.70–7.36)20.144.49 (4.28–4.79)3.34 (3.15–3.49)−25.61
Female1.84 (1.74–1.94)1.63 (1.49–1.78)−11.411.40 (1.30–1.50)0.82 (0.74–0.90)−41.43
South AsiaBoth2.32 (2.08–2.50)2.69 (2.52–2.83)15.952.08 (1.87–2.33)1.97 (1.86–2.11)−5.29
Male3.35 (3.00–3.62)4.18 (3.86–4.43)24.783.10 (2.83–3.52)3.20 (2.97–3.43)3.23
Female1.29 (1.16–1.49)1.29 (1.24–1.36)01.33 (1.09–1.64)1.08 (0.98–1.20)−18.8
Southeast AsiaBoth2.63 (2.42–2.93)3.34 (3.21–3.48)272.08 (1.87–2.33)1.97 (1.86–2.11)−5.29
Male4.07 (3.83–4.56)5.59 (5.31–5.84)37.353.10 (2.83–3.52)3.20 (2.97–3.43)3.23
Female1.52 (1.29–1.80)1.58 (1.47–1.72)3.951.33 (1.09–1.64)1.08 (0.98–1.20)−18.8
AustralasiaBoth11.72 (11.20–12.28)9.44 (8.81–10.14)−19.454.15 (3.97–4.34)3.24 (2.97–3.54)−21.93
Male20.58 (19.50–21.78)15.54 (14.23–16.95)−24.497.31 (6.88–7.76)5.33 (4.78–5.92)−27.09
Female5.27 (4.90–5.65)4.35 (3.92–4.80)−17.462.13 (1.97–2.28)1.64 (1.44–1.88)−23
CaribbeanBoth5.08 (4.84–5.37)5.61 (5.35–5.89)10.433.00 (2.82–3.22)2.74 (2.56–2.94)−8.67
Male7.76 (7.37–8.19)8.76 (8.26–9.27)12.894.58 (4.29–4.90)4.32 (3.93–4.71)−5.68
Female2.75 (2.53–3.01)3.00 (2.77–3.25)9.091.67 (1.50–1.88)1.50 (1.33–1.69)−10.18
Central EuropeBoth9.23 (9.03–9.45)12.05 (11.62–12.51)30.554.70 (4.55–4.84)4.89 (4.66–5.17)6.82
Male17.08 (16.59–17.55)21.60 (20.72–22.52)26.469.05 (8.70–9.36)9.37 (8.81–10.01)6.94
Female3.68 (3.55–3.81)5.16 (4.82–5.51)40.221.83 (1.76–1.91)1.94 (1.79–2.1)9.95
Eastern EuropeBoth8.84 (7.70–9.60)8.31 (7.84–8.80)−64.02 (3.49–4.42)3.53 (2.90–4.25)−12.19
Male20.46 (17.59–22.39)18.04 (16.84–19.34)−11.8310.34 (8.86–11.50)8.37 (6.68–10.22)−19.05
Female3.06 (2.73–3.45)2.85 (2.62–3.09)−6.861.26 (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).

Figure 1

Global and regional bladder cancer ASIR by geography and gender, 1990 and 2016. ASIR, age-standardized incidence rate; ATG, Antigua and Barbuda; VCT, Saint Vincent and the Grenadines; BRB, Barbados; COM, Comoros; MHL, Marshall Islands; KIR, Kiribati; MLT, Malta; DMA, Dominica; GRD, Grenada; MDV, Maldives; MUS, Mauritius; SLB, Solomon Islands; FSM, Federated States of Micronesia; VUT, Vanuatu; WSM, Samoa. SGP, Singapore; LCA, Saint Lucia; TTO, Trinidad and Tobago; TLS, Timor-Leste; SYC, Seychelles; FJI, Fiji; TON, Tonga.

Figure 2

Global and regional average annual percent change in age-standardized incidence and death rates for bladder cancer by geography and gender, 1990–2016. (A) Average annual percent change in age-standardized incidence rates for bladder cancer by geography and gender, 1990–2016; (B) average annual percent change in age-standardized death rates for bladder cancer by geography and gender, 1990–2016. ATG, Antigua and Barbuda; VCT, Saint Vincent and the Grenadines; BRB, Barbados; COM, Comoros; MHL, Marshall Islands; KIR, Kiribati; MLT, Malta; DMA, Dominica; GRD, Grenada; MDV, Maldives; MUS, Mauritius; SLB, Solomon Islands; FSM, Federated States of Micronesia; VUT, Vanuatu; WSM, Samoa. SGP, Singapore; LCA, Saint Lucia; TTO, Trinidad and Tobago; TLS, Timor-Leste; SYC, Seychelles; FJI, Fiji; TON, Tonga.

Data in the parentheses indicates 95% uncertainty interval (95% UI). SDI, Sociodemographic index (a summary indicator of income per capita, educational attainment, and fertility). Global and regional bladder cancer ASIR by geography and gender, 1990 and 2016. ASIR, age-standardized incidence rate; ATG, Antigua and Barbuda; VCT, Saint Vincent and the Grenadines; BRB, Barbados; COM, Comoros; MHL, Marshall Islands; KIR, Kiribati; MLT, Malta; DMA, Dominica; GRD, Grenada; MDV, Maldives; MUS, Mauritius; SLB, Solomon Islands; FSM, Federated States of Micronesia; VUT, Vanuatu; WSM, Samoa. SGP, Singapore; LCA, Saint Lucia; TTO, Trinidad and Tobago; TLS, Timor-Leste; SYC, Seychelles; FJI, Fiji; TON, Tonga. Global and regional average annual percent change in age-standardized incidence and death rates for bladder cancer by geography and gender, 1990–2016. (A) Average annual percent change in age-standardized incidence rates for bladder cancer by geography and gender, 1990–2016; (B) average annual percent change in age-standardized death rates for bladder cancer by geography and gender, 1990–2016. ATG, Antigua and Barbuda; VCT, Saint Vincent and the Grenadines; BRB, Barbados; COM, Comoros; MHL, Marshall Islands; KIR, Kiribati; MLT, Malta; DMA, Dominica; GRD, Grenada; MDV, Maldives; MUS, Mauritius; SLB, Solomon Islands; FSM, Federated States of Micronesia; VUT, Vanuatu; WSM, Samoa. SGP, Singapore; LCA, Saint Lucia; TTO, Trinidad and Tobago; TLS, Timor-Leste; SYC, Seychelles; FJI, Fiji; TON, Tonga.

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)] (, ).
Figure 3

Global and regional bladder cancer ASDR by geography and gender, 1990 and 2016. ASDR, age-standardized death rate; ATG indicates Antigua and Barbuda; VCT, Saint Vincent and the Grenadines; BRB, Barbados; COM, Comoros; MHL, Marshall Islands; KIR, Kiribati; MLT, Malta; DMA, Dominica; GRD, Grenada; MDV, Maldives; MUS, Mauritius; SLB, Solomon Islands; FSM, Federated States of Micronesia; VUT, Vanuatu; WSM, Samoa. SGP, Singapore; LCA, Saint Lucia; TTO, Trinidad and Tobago; TLS, Timor-Leste; SYC, Seychelles; FJI, Fiji; TON, Tonga.

Global and regional bladder cancer ASDR by geography and gender, 1990 and 2016. ASDR, age-standardized death rate; ATG indicates Antigua and Barbuda; VCT, Saint Vincent and the Grenadines; BRB, Barbados; COM, Comoros; MHL, Marshall Islands; KIR, Kiribati; MLT, Malta; DMA, Dominica; GRD, Grenada; MDV, Maldives; MUS, Mauritius; SLB, Solomon Islands; FSM, Federated States of Micronesia; VUT, Vanuatu; WSM, Samoa. SGP, Singapore; LCA, Saint Lucia; TTO, Trinidad and Tobago; TLS, Timor-Leste; SYC, Seychelles; FJI, Fiji; TON, Tonga.

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

Probability of developing bladder cancer within selected age intervals, globally, and by SDI quintile, by sex, 2006–2016 in % (odds)

Location/ SDI quintileBirth to age 49Age 50 to 59Age 60 to 69Age 70 to 79Age 30 to 70Birth to age 79
MaleFemaleMaleFemaleMaleFemaleMaleFemaleMaleFemaleMaleFemale
Global0.05 (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 SDI0.06 (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 SDI0.08 (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 SDI0.03 (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 SDI0.03 (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 SDI0.05 (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).

Figure 4

Global and regional trends and predictions in age-standardized incidence and death rates for bladder cancer by SDI quintile, 1990–2030. (A) Trends and predictions in age-standardized incidence rates for bladder cancer by SDI quintile, 1990–2030; (B) trends and predictions in age-standardized death rates for bladder cancer by SDI quintile, 1990–2030. SDI, Sociodemographic index (a summary indicator of income per capita, educational attainment, and fertility).

Data in the parentheses indicates 95% uncertainty interval (95% UI). SDI, sociodemographic index (a summary indicator of income per capita, educational attainment, and fertility). Global and regional trends and predictions in age-standardized incidence and death rates for bladder cancer by SDI quintile, 1990–2030. (A) Trends and predictions in age-standardized incidence rates for bladder cancer by SDI quintile, 1990–2030; (B) trends and predictions in age-standardized death rates for bladder cancer by SDI quintile, 1990–2030. 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. NA, not available. GBD, Global Burden of Disease; VR, vital registration system data; VA, verbal autopsy data; CR, cancer registry data. SDI, sociodemographic index. CODEm, cause of death ensemble model; GBD, Global Burden of Disease. GBD, Global Burden of Disease. CODEm, cause of death ensemble model; RMSE, root mean square of errors. SDI, sociodemographic index. The article’s supplementary files as
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