The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Future of Cancer Incidence in the United States: Burdens Upon an Aging, Changing Nation
Open accessAbstract
Purpose: By 2030, the United States' population will increase to approximately 365 million, including 72 million older adults (age ≥ 65 years) and 157 million minority individuals. Although cancer incidence varies by age and race, the impact of demographic changes on cancer incidence has not been fully characterized. We sought to estimate the number of cancer patients diagnosed in the United States through 2030 by age and race. Methods: Current demographic-specific cancer incidence rates were calculated using the Surveillance Epidemiology and End Results database. Population projections from the Census Bureau were used to project future cancer incidence through 2030. Results: From 2010 to 2030, the total projected cancer incidence will increase by approximately 45%, from 1.6 million in 2010 to 2.3 million in 2030. This increase is driven by cancer diagnosed in older adults and minorities. A 67% increase in cancer incidence is anticipated for older adults, compared with an 11% increase for younger adults. A 99% increase is anticipated for minorities, compared with a 31% increase for whites. From 2010 to 2030, the percentage of all cancers diagnosed in older adults will increase from 61% to 70%, and the percentage of all cancers diagnosed in minorities will increase from 21% to 28%. Conclusion: Demographic changes in the United States will result in a marked increase in the number of cancer diagnoses over the next 20 years. Continued efforts are needed to improve cancer care for older adults and minorities.
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Radical Prostatectomy versus Watchful Waiting in Early Prostate Cancer
Bill-Axelson, A., Holmberg, L., Ruutu, M., Häggman, M., Andersson, S.-O., Bratell, S., Spångberg, A., Busch, C., Nordling, S., Garmo, H., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043739 · Cited by 1,111
Future supply and demand for oncologists: challenges to assuring access to oncology services
Erikson, C., Salsberg, E., Forte, G., Bruinooge, S., & Goldstein, M. (2007) · Journal of Oncology Practice · doi:10.1200/jop.0723601 · Cited by 528
Cited by
Rahib, L., Smith, B. D., Aizenberg, R., Rosenzweig, A. B., Fleshman, J. M., & Matrisian, L. M. (2014) · Cancer Research · doi:10.1158/0008-5472.can-14-0155 · Cited by 7,094
Self-citationAmerican College of Sports Medicine Roundtable on Exercise Guidelines for Cancer Survivors
Schmitz, K. H., Courneya, K. S., Matthews, C., Demark-Wahnefried, W., GALVÃO, D. A., Pinto, B. M., IRWIN, M. L., WOLIN, K. Y., SEGAL, R. J., LUCIA, A., et al. (2010) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181e0c112 · Cited by 2,781
Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study
Hurria, A., Togawa, K., Mohile, S. G., Owusu, C., Klepin, H. D., Gross, C. P., Lichtman, S. M., Gajra, A., Bhatia, S., Katheria, V., et al. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2011.34.7625 · Cited by 1,841
Self-citationMohile, S. G., Dale, W., Somerfield, M. R., Schonberg, M. A., Boyd, C. M., Burhenn, P. S., Canin, B., Cohen, H. J., Holmes, H. M., Hopkins, J. O., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2018.78.8687 · Cited by 1,479
Self-citationEstimated Projection of US Cancer Incidence and Death to 2040
Rahib, L., Wehner, M. R., Matrisian, L. M., & Nead, K. T. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.4708 · Cited by 1,339
Metadata
- Authors
- Smith, B. D., Smith, G. L., Hurria, A., Hortobagyi, G. N., & Buchholz, T. A.
- Venue
- Journal of Clinical Oncology
- Published
- 2009-06-10
- Volume
- 27
- Issue
- 17
- Pages
- 2758-2765
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2154221980
- Cited by
- 1,721
- References
- 2
- FWCI
- 28.79
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.