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    • Melanoma
    • Whiteman, David CRemove Whiteman, David C filter
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    • Research Article3

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    • Green, Adèle C2
    • Neale, Rachel E2
    • Olsen, Catherine M2
    • Thompson, Bridie S2
    • Campbell, Scott1
    • Davis, Marcia1
    • Dusingize, Jean Claude1
    • Fawcett, Jonathan1
    • Ferguson, Lisa1
    • Green, Adele C1
    • Hughes, Maria-Celia1
    • Iannacone, Michelle R1
    • Isbel, Nikky1
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    • Pandeya, Nirmala P1
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    • Soyer, Peter H1
    • Subramaniam, Padmini1
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    Journal

    • Journal of Investigative Dermatology3

    Keyword

    • SCC3
    • basal cell carcinoma2
    • KC2
    • keratinocyte carcinoma2
    • squamous cell carcinoma2
    • actinic keratosis1
    • AK1
    • area under the receiver operator characteristic curve1
    • AUROC1
    • basal cell carcinomas1
    • CI1
    • confidence interval1
    • hazard ratio1
    • HR1
    • organ transplant recipient1
    • OTR1
    • squamous cell carcinomas1

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    • Original Article Epidemiology
      Open Archive

      Cigarette Smoking and the Risks of Basal Cell Carcinoma and Squamous Cell Carcinoma

      Journal of Investigative Dermatology
      Vol. 137Issue 8p1700–1708Published online: April 14, 2017
      • Jean Claude Dusingize
      • Catherine M. Olsen
      • Nirmala P. Pandeya
      • Padmini Subramaniam
      • Bridie S. Thompson
      • Rachel E. Neale
      • and others
      Cited in Scopus: 42
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        Sunlight is the principal environmental risk factor for keratinocyte cancers, but other carcinogens have also been implicated, including tobacco smoke. Findings have been conflicting, however. We investigated associations between cigarette smoking and incidence of basal cell carcinoma (BCC) or squamous cell carcinoma (SCC) in QSkin, a prospective study of skin cancer (N = 43,794). Smoking history was self-reported at baseline; newly diagnosed BCCs and SCCs were ascertained through data linkage and verified by histopathology reports.
        Cigarette Smoking and the Risks of Basal Cell Carcinoma and Squamous Cell Carcinoma
      • Original Article Epidemiology
        Open Archive

        Prevalence of Skin Cancer and Related Skin Tumors in High-Risk Kidney and Liver Transplant Recipients in Queensland, Australia

        Journal of Investigative Dermatology
        Vol. 136Issue 7p1382–1386Published online: March 8, 2016
        • Michelle R. Iannacone
        • Sudipta Sinnya
        • Nirmala Pandeya
        • Nikky Isbel
        • Scott Campbell
        • Jonathan Fawcett
        • and others
        Cited in Scopus: 34
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          The increased skin cancer incidence in organ transplant recipients is well-known, but the skin cancer burden at any one time is unknown. Our objective was to estimate the period prevalence of untreated skin malignancy and actinic keratoses in high-risk kidney and liver transplant recipients and to assess associated factors. Organ transplant recipients underwent full skin examinations by dermatologically trained physicians. The proportion of examined organ transplant recipients with histopathologically confirmed skin cancer in the 3-month baseline period was estimated.
        • 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
          Page 1 of 1

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