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- Green, Adele CRemove Green, Adele C filter
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Melanoma
2 Results
- Original Article Tumor BiologyOpen Archive
A Model to Predict the Risk of Keratinocyte Carcinomas
Journal of Investigative DermatologyVol. 136Issue 6p1247–1254Published online: February 21, 2016- David C. Whiteman
- Bridie S. Thompson
- Aaron P. Thrift
- Maria-Celia Hughes
- Chiho Muranushi
- Rachel E. Neale
- and others
Cited in Scopus: 26Basal cell and squamous cell carcinomas of the skin are the commonest cancers in humans, yet no validated tools exist to estimate future risks of developing keratinocyte carcinomas. To develop a prediction tool, we used baseline data from a prospective cohort study (n = 38,726) in Queensland, Australia, and used data linkage to capture all surgically excised keratinocyte carcinomas arising within the cohort. Predictive factors were identified through stepwise logistic regression models. In secondary analyses, we derived separate models within strata of prior skin cancer history, age, and sex. - Original Article EpidemiologyOpen Archive
The Growing Burden of Invasive Melanoma: Projections of Incidence Rates and Numbers of New Cases in Six Susceptible Populations through 2031
Journal of Investigative DermatologyVol. 136Issue 6p1161–1171Published online: February 20, 2016- David C. Whiteman
- Adele C. Green
- Catherine M. Olsen
Cited in Scopus: 342New melanoma therapies are being developed rapidly, complementing prevention and detection strategies for disease control. Estimating the future burden of melanoma is necessary for deciding how best to deploy limited resources to achieve effective melanoma control. Using three decades of cancer registry data (1982–2011) from six populations with moderate to high melanoma incidence (US whites and the populations of the United Kingdom, Sweden, Norway, Australia, New Zealand), we applied age-period-cohort models to describe current trends and project future incidence rates and numbers of melanomas out to 2031.