The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Estimates and Projections of the Global Economic Cost of 29 Cancers in 204 Countries and Territories From 2020 to 2050
Open accessAbstract
Importance: 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. Objective: To estimate and project the economic cost of 29 cancers in 204 countries and territories. Design, Setting, and Participants: 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. Main Outcomes and Measures: Economic cost of 29 cancers across countries and territories. Costs are presented in international dollars at constant 2017 prices. Results: 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. Conclusions and Relevance: 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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30925-9 · Cited by 19,358
Correspondence - Tranexamic acid for traumatic brain injury
(2005) · London School of Economics and Political Science Theses Online (London School of Economics and Political Science) · doi:10.1016/s0140-6736 · Cited by 11,894
Roth, G. A., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32203-7 · Cited by 8,600
Self-citationOral diseases: a global public health challenge
Peres, M. A., Macpherson, L. M. D., Weyant, R. J., Daly, B., Venturelli, R., Mathur, M. R., Listl, S., Celeste, R. K., Guarnizo-Herreño, C. C., Kearns, C., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31146-8 · Cited by 4,054
Bennett, J. E., Stevens, G. A., Mathers, C. D., Bonita, R., Rehm, J., Kruk, M. E., Riley, L. M., Dain, K., Kengne, A. P., Chalkidou, K., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31992-5 · Cited by 1,336
US Health Care Spending by Payer and Health Condition, 1996-2016
Dieleman, J. L., Cao, J., Chapin, A., Chen, C., Li, Z., Liu, A., Horst, C., Kaldjian, A., Matyasz, T., Scott, K. W., et al. (2020) · JAMA · doi:10.1001/jama.2020.0734 · Cited by 1,313
Planning for tomorrow: global cancer incidence and the role of prevention 2020–2070
Soerjomataram, I., & Bray, F. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00514-z · Cited by 1,012
Watkins, D. A., Msemburi, W. T., Pickersgill, S. J., Kawakatsu, Y., Gheorghe, A., Dain, K., Johansson, K. A., Said, S., Renshaw, N., Tolla, M. T., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(21)02347-3 · Cited by 213
Cited by
Bray, F., Laversanne, M., Sung, H., Ferlay, J., Siegel, R. L., Soerjomataram, I., & Jemal, A. (2024) · CA: a cancer journal for clinicians · doi:10.3322/caac.21834 · Cited by 27,064
Chen, S., Cao, Z., Nandi, A., Counts, N., Jiao, L., Prettner, K., Kuhn, M., Seligman, B., Tortorice, D., Vigo, D., et al. (2024) · The Lancet Global Health · doi:10.1016/s2214-109x(24)00264-x · Cited by 294
Self-citationSocioeconomic Burden of Ovarian Cancer in 11 Countries
Hutchinson, B., Euripides, M., Reid, F., Allman, G., Morrell, L., Spencer, G., Ilbawi, A., Meheus, F., Gaafar, H., & Casolino, R. (2025) · JCO Global Oncology · doi:10.1200/go-24-00313 · Cited by 21
Nezenega, Z. S., Aychiluhm, S. B., Ross, A. G., Kassa, Z. Y., Bore, M. G., Leshargie, C. T., Allan, J., Thapa, S., Astawesegn, F. H., Mahmood, S., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-02266-x · Cited by 13
Yoshioka, T., Azuma, S., Funada, S., Itaya, T., & Goto, R. (2025) · Clinical Drug Investigation · doi:10.1007/s40261-025-01435-w · Cited by 2
Metadata
- Authors
- Chen, S., Cao, Z., Prettner, K., Kuhn, M., Yang, J., Jiao, L., Wang, Z., Li, W., Geldsetzer, P., Bärnighausen, T., Bloom, D. E., & Wang, C.
- Venue
- JAMA Oncology
- Publisher
- American Medical Association (AMA)
- Published
- 2023-04-01
- Volume
- 9
- Issue
- 4
- Pages
- 465
- ISSN
- 2374-2437 (ISSN-L)
- OpenAlex
- W4321612671
- Cited by
- 890
- References
- 8
- FWCI
- 181.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.