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The Global, Regional, and National Burden of Colorectal Cancer and Its Attributable Risk Factors in 195 Countries and Territories, 1990–2017: A Systematic Analysis for the Global Burden of Disease Study 2017 Publisher Pubmed



Safiri S1, 2 ; Sepanlou SG12, 25 ; Ikuta KS27, 29 ; Bisignano C29 ; Salimzadeh H12 ; Delavari A12, 21 ; Ansari R12 ; Roshandel G12, 30 ; Merat S12 ; Fitzmaurice C28, 29 ; Force LM29, 32, 33 ; Nixon MR29 ; Abbastabar H17 ; Abegaz KH34, 35 Show All Authors
Authors
  1. Safiri S1, 2
  2. Sepanlou SG12, 25
  3. Ikuta KS27, 29
  4. Bisignano C29
  5. Salimzadeh H12
  6. Delavari A12, 21
  7. Ansari R12
  8. Roshandel G12, 30
  9. Merat S12
  10. Fitzmaurice C28, 29
  11. Force LM29, 32, 33
  12. Nixon MR29
  13. Abbastabar H17
  14. Abegaz KH34, 35
  15. Afarideh M13
  16. Ahmadi A18
  17. Ahmed MB38
  18. Akinyemiju T39, 40
  19. Alahdab F41
  20. Ali R42, 43
  21. Alikhani M46
  22. Alipour V47, 48
  23. Aljunid SM50, 51
  24. Almadi MAH52, 53
  25. Almasihashiani A54
  26. Alraddadi RM57
  27. Alvisguzman N58, 59
  28. Amini S56
  29. Anber NH60
  30. Ansarimoghaddam A62
  31. Arabloo J48
  32. Arefi Z9
  33. Asghari Jafarabadi M4, 63
  34. Azadmehr A64
  35. Badawi A68, 69
  36. Baheiraei N72, 73
  37. Barnighausen TW74, 77
  38. Basaleem H78
  39. Behzadifar M82
  40. Behzadifar M82
  41. Belayneh YM83
  42. Berhe K85
  43. Bhattacharyya K87, 88
  44. Biadgo B89
  45. Bijani A67
  46. Biondi A91
  47. Bjorge T93, 94
  48. Borzi AM90
  49. Bosetti C96
  50. Bouorm IR97
  51. Brenner H98
  52. Briko AN99
  53. Briko NI101
  54. Carreras G102
  55. Carvalho F103, 104
  56. Castanedaorjuela CA106, 107
  57. Cerin E108, 109
  58. Chiang PPC110
  59. Chidoamajuoyi OG111
  60. Daryani A113
  61. Davitoiu DV114, 118
  62. Demoz GT37, 119
  63. Desai R120
  64. Dianati Nasab M24
  65. Eftekhari A3, 122
  66. El Sayed I124
  67. Elbarazi I125
  68. Emamian MH126
  69. Endries AY127
  70. Esmaeilzadeh F123
  71. Esteghamati A13
  72. Etemadi A23, 128
  73. Farzadfar F19
  74. Fernandes E105
  75. Fernandes JC129
  76. Filip I130, 132
  77. Fischer F133
  78. Foroutan M134
  79. Gad MM135, 136
  80. Gallus S95
  81. Ghasenikebria F30
  82. Ghashghaee A46
  83. Gorini G137
  84. Hafezinejad N22, 138
  85. Hajmirzaian A11, 138
  86. Hajmirzaian A11, 138
  87. Hasanpourheidari S30
  88. Hasanzadeh A10, 121
  89. Hassanipour S143, 144
  90. Hay SI26, 29
  91. Hoang CL145
  92. Hostiuc M114, 146
  93. Househ M148, 149
  94. Ilesanmi OS150
  95. Ilic MD151
  96. Innos K153
  97. Irvani SSN142
  98. Islami F154
  99. Jaca A155, 157
  100. Jafari Balalami N158
  101. Jafari Delouei N30
  102. Jafarinia M160
  103. Jahani MA66
  104. Jakovljevic M152
  105. James SL29
  106. Javanbakht M161
  107. Jenabi E162
  108. Jha RP168
  109. Joukar F143
  110. Kasaeian A14, 15
  111. Kassa TD84
  112. Kassaw MW169, 170
  113. Kengne AP156, 171
  114. Khader YS172
  115. Khaksarian M79
  116. Khalilov R173
  117. Khan EA174
  118. Khayamzadeh M140, 176
  119. Khazaeepool M112
  120. Khazaei S165
  121. Khosravi Shadmani F177
  122. Khubchandani J182
  123. Kim D183
  124. Kisa A184, 185
  125. Kisa S186
  126. Kocarnik JM29, 187
  127. Komaki H166, 188
  128. Kopec JA189, 190
  129. Koyanagi A191, 192
  130. Kuipers EJ193
  131. Kumar V76
  132. La Vecchia C159
  133. Lami FH175
  134. Lopez AD29, 194
  135. Lopukhov PD100
  136. Lunevicius R195, 196
  137. Majeed A197
  138. Majidinia M199
  139. Manafi A200
  140. Manafi N49, 201
  141. Manda AL202
  142. Mansourghanaei F143
  143. Mantovani LG203
  144. Mehta D204
  145. Meier T205, 206
  146. Meles HG86
  147. Mendoza W207
  148. Mestrovic T208, 209
  149. Miazgowski B210
  150. Miazgowski T211
  151. Mir SM31, 65
  152. Mirzaei H213
  153. Mohammad KA214, 215
  154. Mohammad Gholi Mezerji N164
  155. Mohammadianhafshejani A216
  156. Mohammadookhorasani M70
  157. Mohammed S75, 217
  158. Mohebi F16, 19
  159. Mokdad AH26, 29
  160. Monasta L218
  161. Moossavi M219
  162. Moradi G220, 221
  163. Moradpour F221
  164. Moradzadeh R54
  165. Nahvijou A6
  166. Naik G222
  167. Najafi F177
  168. Nazari J55, 223
  169. Negoi I115, 116
  170. Negru S224
  171. Nguyen CT225
  172. Nguyen TH145
  173. Ningrum DNA226, 227
  174. Ogbo FA229
  175. Olagunju AT231, 232
  176. Olagunju TO230
  177. Pana A233, 234
  178. Pereira DM105, 235
  179. Pirestani M71
  180. Pourshams A12
  181. Poustchi H12
  182. Qorbani M237
  183. Rabiee M238
  184. Rabiee N239
  185. Radfar A131, 240
  186. Rahmati M5
  187. Rajati F178
  188. Raoofi S46
  189. Rawaf DL198, 241
  190. Rawaf S197, 242
  191. Renzaho AMN228
  192. Rezaei N20, 243
  193. Rezapour A48
  194. Saad AM245
  195. Saadatagah S8
  196. Saddik B246
  197. Salehi F181
  198. Zahabi SS179, 247
  199. Salz I248
  200. Samy AM244
  201. Sanabria J249, 250
  202. Santric Milicevic MM251
  203. Sarveazad A44
  204. Satpathy M253, 254
  205. Schneider IJC255
  206. Sekerija M256, 257
  207. Shaahmadi F236
  208. Shabaninejad H45
  209. Shamsizadeh M163
  210. Sharafi Z81
  211. Sharif M258, 259
  212. Sharifi A30
  213. Sheikhbahaei S13, 139
  214. Shirkoohi R5, 7
  215. Siddappa Malleshappa SK260
  216. Silva DAS255
  217. Sisay M261
  218. Smarandache CG117, 147
  219. Soofi M180
  220. Soreide K92, 262
  221. Soshnikov S263
  222. Starodubov VI265
  223. Tabaresseisdedos R267, 268
  224. Sullman M266
  225. Taherkhani A167
  226. Tesfay BE269
  227. Topormadry R270, 271
  228. Traini E218
  229. Tran BX272
  230. Tran KB273, 274
  231. Ullah I275, 276
  232. Uthman OA277
  233. Vacante M91
  234. Vahedianazimi A278
  235. Valli A91
  236. Varavikova E264
  237. Vujcic IS252
  238. Westerman R279
  239. Yazdifeyzabadi V280, 281
  240. Yisma E36
  241. Yu C282, 284
  242. Zadnik V285
  243. Zahirian Moghadam T48, 287
  244. Zaki L71
  245. Zandian H286, 287
  246. Zhang ZJ283
  247. Murray CJL26, 29
  248. Naghavi M26, 29
  249. Malekzadeh R12, 25

Source: The Lancet Gastroenterology and Hepatology Published:2019


Abstract

Background: Data about the global, regional, and country-specific variations in the levels and trends of colorectal cancer are required to understand the impact of this disease and the trends in its burden to help policy makers allocate resources. Here we provide a status report on the incidence, mortality, and disability caused by colorectal cancer in 195 countries and territories between 1990 and 2017. Methods: Vital registration, sample vital registration, verbal autopsy, and cancer registry data were used to generate incidence, death, and disability-adjusted life-year (DALY) estimates of colorectal cancer at the global, regional, and national levels. We also determined the association between development levels and colorectal cancer age-standardised DALY rates, and calculated DALYs attributable to risk factors that had evidence of causation with colorectal cancer. All of the estimates are reported as counts and age-standardised rates per 100 000 person-years, with some estimates also presented by sex and 5-year age groups. Findings: In 2017, there were 1·8 million (95% UI 1·8–1·9) incident cases of colorectal cancer globally, with an age-standardised incidence rate of 23·2 (22·7–23·7) per 100 000 person-years that increased by 9·5% (4·5–13·5) between 1990 and 2017. Globally, colorectal cancer accounted for 896 000 (876 300–915 700) deaths in 2017, with an age-standardised death rate of 11·5 (11·3–11·8) per 100 000 person-years, which decreased between 1990 and 2017 (−13·5% [–18·4 to −10·0]). Colorectal cancer was also responsible for 19·0 million (18·5–19·5) DALYs globally in 2017, with an age-standardised rate of 235·7 (229·7–242·0) DALYs per 100 000 person-years, which decreased between 1990 and 2017 (−14·5% [–20·4 to −10·3]). Slovakia, the Netherlands, and New Zealand had the highest age-standardised incidence rates in 2017. Greenland, Hungary, and Slovakia had the highest age-standardised death rates in 2017. Numbers of incident cases and deaths were higher among males than females up to the ages of 80–84 years, with the highest rates observed in the oldest age group (≥95 years) for both sexes in 2017. There was a non-linear association between the Socio-demographic Index and the Healthcare Access and Quality Index and age-standardised DALY rates. In 2017, the three largest contributors to DALYs at the global level, for both sexes, were diet low in calcium (20·5% [12·9–28·9]), alcohol use (15·2% [12·1–18·3]), and diet low in milk (14·3% [5·1–24·8]). Interpretation: There is substantial global variation in the burden of colorectal cancer. Although the overall colorectal cancer age-standardised death rate has been decreasing at the global level, the increasing age-standardised incidence rate in most countries poses a major public health challenge across the world. The results of this study could be useful for policy makers to carry out cost-effective interventions and to reduce exposure to modifiable risk factors, particularly in countries with high incidence or increasing burden. Funding: Bill & Melinda Gates Foundation. © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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