Estimates and Projections of the Global Economic Cost of 29 Cancers in 204 Countries and Territories From 2020 to 2050.


Journal

JAMA oncology
ISSN: 2374-2445
Titre abrégé: JAMA Oncol
Pays: United States
ID NLM: 101652861

Informations de publication

Date de publication:
01 04 2023
Historique:
medline: 24 4 2023
pubmed: 24 2 2023
entrez: 23 2 2023
Statut: ppublish

Résumé

Cancers are a leading cause of mortality, accounting for nearly 10 million annual deaths worldwide, or 1 in 6 deaths. Cancers also negatively affect countries' economic growth. However, the global economic cost of cancers and its worldwide distribution have yet to be studied. To estimate and project the economic cost of 29 cancers in 204 countries and territories. A decision analytical model that incorporates economic feedback in assessing health outcomes associated with the labor force and investment. A macroeconomic model was used to account for (1) the association of cancer-related mortality and morbidity with labor supply; (2) age-sex-specific differences in education, experience, and labor market participation of those who are affected by cancers; and (3) the diversion of cancer treatment expenses from savings and investments. Data were collected on April 25, 2022. Economic cost of 29 cancers across countries and territories. Costs are presented in international dollars at constant 2017 prices. The estimated global economic cost of cancers from 2020 to 2050 is $25.2 trillion in international dollars (at constant 2017 prices), equivalent to an annual tax of 0.55% on global gross domestic product. The 5 cancers with the highest economic costs are tracheal, bronchus, and lung cancer (15.4%); colon and rectum cancer (10.9%); breast cancer (7.7%); liver cancer (6.5%); and leukemia (6.3%). China and the US face the largest economic costs of cancers in absolute terms, accounting for 24.1% and 20.8% of the total global burden, respectively. Although 75.1% of cancer deaths occur in low- and middle-income countries, their share of the economic cost of cancers is lower at 49.5%. The relative contribution of treatment costs to the total economic cost of cancers is greater in high-income countries than in low-income countries. In this decision analytical modeling study, the macroeconomic cost of cancers was found to be substantial and distributed heterogeneously across cancer types, countries, and world regions. The findings suggest that global efforts to curb the ongoing burden of cancers are warranted.

Identifiants

pubmed: 36821107
pii: 2801798
doi: 10.1001/jamaoncol.2022.7826
pmc: PMC9951101
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Comment

Langues

eng

Sous-ensembles de citation

IM

Pagination

465-472

Subventions

Organisme : NIA NIH HHS
ID : P30 AG024409
Pays : United States

Commentaires et corrections

Type : CommentOn

Auteurs

Simiao Chen (S)

Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.
Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Zhong Cao (Z)

Institute for Artificial Intelligence, Tsinghua University, Beijing, China.
State Key Lab of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China.

Klaus Prettner (K)

Vienna Institute of Demography, Wittgenstein Centre, International Institute for Applied Systems Analysis, OeAW, University of Vienna, Vienna, Austria.
Vienna University of Economics and Business (WU), Department of Economics, Vienna, Austria.

Michael Kuhn (M)

Vienna Institute of Demography, Wittgenstein Centre, International Institute for Applied Systems Analysis, OeAW, University of Vienna, Vienna, Austria.
International Institute for Applied Systems Analysis, Laxenburg, Austria.

Juntao Yang (J)

State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Lirui Jiao (L)

Columbia Mailman School of Public Health, New York, New York.

Zhuoran Wang (Z)

Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Weimin Li (W)

Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Sichuan, China.
Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Sichuan, China.

Pascal Geldsetzer (P)

Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, California.

Till Bärnighausen (T)

Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.
Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.

David E Bloom (DE)

Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.

Chen Wang (C)

Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
National Clinical Research Center for Respiratory Diseases, Beijing, China.
Chinese Academy of Engineering, Beijing, China.

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