GBD 2019 Colorectal Cancer Collaborators
(2022)
Global, regional, and national burden of colorectal cancer and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.
Lancet Gastroenterol Hepatol, 7 (7).
pp. 627-647.
ISSN 2468-1253
https://doi.org/10.1016/S2468-1253(22)00044-9
SGUL Authors: Pollok, Richard Charles G
Abstract
BACKGROUND: Colorectal cancer is the third leading cause of cancer deaths worldwide. Given the recent increasing trends in colorectal cancer incidence globally, up-to-date information on the colorectal cancer burden could guide screening, early detection, and treatment strategies, and help effectively allocate resources. We examined the temporal patterns of the global, regional, and national burden of colorectal cancer and its risk factors in 204 countries and territories across the past three decades. METHODS: Estimates of incidence, mortality, and disability-adjusted life years (DALYs) for colorectal cancer were generated as a part of the Global Burden of Diseases, Injuries and Risk Factors Study (GBD) 2019 by age, sex, and geographical location for the period 1990-2019. Mortality estimates were produced using the cause of death ensemble model. We also calculated DALYs attributable to risk factors that had evidence of causation with colorectal cancer. FINDINGS: Globally, between 1990 and 2019, colorectal cancer incident cases more than doubled, from 842 098 (95% uncertainty interval [UI] 810 408-868 574) to 2·17 million (2·00-2·34), and deaths increased from 518 126 (493 682-537 877) to 1·09 million (1·02-1·15). The global age-standardised incidence rate increased from 22·2 (95% UI 21·3-23·0) per 100 000 to 26·7 (24·6-28·9) per 100 000, whereas the age-standardised mortality rate decreased from 14·3 (13·5-14·9) per 100 000 to 13·7 (12·6-14·5) per 100 000 and the age-standardised DALY rate decreased from 308·5 (294·7-320·7) per 100 000 to 295·5 (275·2-313·0) per 100 000 from 1990 through 2019. Taiwan (province of China; 62·0 [48·9-80·0] per 100 000), Monaco (60·7 [48·5-73·6] per 100 000), and Andorra (56·6 [42·8-71·9] per 100 000) had the highest age-standardised incidence rates, while Greenland (31·4 [26·0-37·1] per 100 000), Brunei (30·3 [26·6-34·1] per 100 000), and Hungary (28·6 [23·6-34·0] per 100 000) had the highest age-standardised mortality rates. From 1990 through 2019, a substantial rise in incidence rates was observed in younger adults (age <50 years), particularly in high Socio-demographic Index (SDI) countries. Globally, a diet low in milk (15·6%), smoking (13·3%), a diet low in calcium (12·9%), and alcohol use (9·9%) were the main contributors to colorectal cancer DALYs in 2019. INTERPRETATION: The increase in incidence rates in people younger than 50 years requires vigilance from researchers, clinicians, and policy makers and a possible reconsideration of screening guidelines. The fast-rising burden in low SDI and middle SDI countries in Asia and Africa calls for colorectal cancer prevention approaches, greater awareness, and cost-effective screening and therapeutic options in these regions. FUNDING: Bill & Melinda Gates Foundation.
Item Type: |
Article
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Additional Information: |
Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. |
Keywords: |
Adult, Colorectal Neoplasms, Early Detection of Cancer, Global Burden of Disease, Humans, Middle Aged, Quality-Adjusted Life Years, Risk Factors, GBD 2019 Colorectal Cancer Collaborators, Humans, Colorectal Neoplasms, Risk Factors, Quality-Adjusted Life Years, Adult, Middle Aged, Early Detection of Cancer, Global Burden of Disease |
SGUL Research Institute / Research Centre: |
Academic Structure > Infection and Immunity Research Institute (INII) |
Journal or Publication Title: |
Lancet Gastroenterol Hepatol |
ISSN: |
2468-1253 |
Language: |
eng |
Dates: |
Date | Event |
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13 June 2022 | Published | 7 April 2022 | Published Online | 4 February 2022 | Accepted |
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Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
Project ID | Funder | Funder ID |
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K43 TW010704 | FIC NIH HHS | UNSPECIFIED | UNSPECIFIED | Bill and Melinda Gates Foundation | http://dx.doi.org/10.13039/100000865 | UIDP/04378/2020 | Fundção para a Ciência e a Tecnologia | UNSPECIFIED | UIDB/04378/2020 | Fundção para a Ciência e a Tecnologia | UNSPECIFIED | LA/P/0140/2020 | Associate Laboratory Institute for Health and Bioeconomy i4HB | UNSPECIFIED | UIDB/50006/2020 | FCT/MCTES | UNSPECIFIED | ERC-StG-2019-848325 | European Research Council | http://dx.doi.org/10.13039/501100000781 | SFRH/BHD/110001/2015 | Fundação para a Ciência e Tecnologia | UNSPECIFIED | DL57/2016/CP1334/CT0006 | Norma Transitória | UNSPECIFIED | NNF16OC0021856 | Novo Nordisk Foundation | UNSPECIFIED | NIHR300175 | National Institute for Health Research | http://dx.doi.org/10.13039/501100000272 | PN-III-P4-ID-PCCF-2016-0084 | Romanian National Authority for Scientific Research and Innovation | UNSPECIFIED | OI175014 | Ministry of Education Science and Technological Development of the Republic of Serbia | UNSPECIFIED | Em-CEAS | Science Fund of the Republic of Serbia | http://dx.doi.org/10.13039/501100016047 | GD21YSH06 | Guangdong Philosophy and Social Science Fund | UNSPECIFIED | SZ2020C015 | Shenzhen Philosophy and Social Science Fund | UNSPECIFIED | 20200805164059001 | Shenzhen Science and Technology Fund | UNSPECIFIED | CEECINST/00049/2018 | Fundação para a Ciência e a Tecnologia | http://dx.doi.org/10.13039/501100001871 | 302028/2018-8 | Conselho Nacional de Desenvolvimento Científico e Tecnológico | http://dx.doi.org/10.13039/501100003593 |
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PubMed ID: |
35397795 |
Web of Science ID: |
WOS:000862684100014 |
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Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/114956 |
Publisher's version: |
https://doi.org/10.1016/S2468-1253(22)00044-9 |
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