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    • Melanoma
    • Green, Adele CRemove Green, Adele C filter
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    • Research Article3

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    • Olsen, Catherine M2
    • Whiteman, David C2
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    • APC1
    • area under the receiver operator characteristic curve1
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    • average annual percentage rate change1
    • basal cell carcinomas1
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    • Original Article Melanocytes/Melanoma
      Open Archive

      Ten-Year Survival after Multiple Invasive Melanomas Is Worse than after a Single Melanoma: a Population-Based Study

      Journal of Investigative Dermatology
      Vol. 136Issue 11p2270–2276Published online: March 23, 2016
      • Danny R. Youlden
      • Peter D. Baade
      • H. Peter Soyer
      • Philippa H. Youl
      • Michael G. Kimlin
      • Joanne F. Aitken
      • and others
      Cited in Scopus: 37
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        The prognosis of melanoma patients who are diagnosed with multiple primary lesions remains controversial. We used a large population-based cohort to re-examine this issue, applying a delayed entry methodology to avoid survival bias. Of 32,238 eligible patients diagnosed between 1995 and 2008, 29,908 (93%) had a single invasive melanoma, 2,075 (6%) had two, and 255 (1%) had three. Allowing for differences in entry time, 10-year cause-specific survival for these three groups was 89% (95% confidence interval [CI] = 88–90%), 83% (95% CI = 80–86%), and 67% (95% CI = 54–81%), respectively.
        Ten-Year Survival after Multiple Invasive Melanomas Is Worse than after a Single Melanoma: a Population-Based Study
      • Original Article Tumor Biology
        Open Archive

        A Model to Predict the Risk of Keratinocyte Carcinomas

        Journal of Investigative Dermatology
        Vol. 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: 26
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          Basal 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.
          A Model to Predict the Risk of Keratinocyte Carcinomas
        • Original Article Epidemiology
          Open 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 Dermatology
          Vol. 136Issue 6p1161–1171Published online: February 20, 2016
          • David C. Whiteman
          • Adele C. Green
          • Catherine M. Olsen
          Cited in Scopus: 350
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            New 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.
            The Growing Burden of Invasive Melanoma: Projections of Incidence Rates and Numbers of New Cases in Six Susceptible Populations through 2031
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