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Sökning: onr:"swepub:oai:lup.lub.lu.se:ce2be338-b0b6-45bf-ac99-82d2779c2c31" > Development and val...

Development and validation of a melanoma risk score based on pooled data from 16 case-control studies

Davies, John R, (författare)
University of Leeds
Chang, Yu-mei, (författare)
University of Leeds
Bishop, D Timothy, (författare)
University of Leeds
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Armstrong, Bruce K, (författare)
University of Sydney
Bataille, Veronique, (författare)
King's College London
Bergman, Wilma, (författare)
Leiden University Medical Centre
Berwick, Marianne, (författare)
University of New Mexico
Bracci, Paige M, (författare)
University of California, San Francisco
Elwood, J Mark, (författare)
University of Auckland
Ernstoff, Marc S, (författare)
Dartmouth College
Green, Adele, (författare)
QIMR Berghofer Medical Research Institute
Gruis, Nelleke A, (författare)
Leiden University Medical Centre
Holly, Elizabeth A, (författare)
University of California, San Francisco
Ingvar, Christian, (författare)
Lunds universitet, Lund University, Medicinska fakulteten, Faculty of Medicine, Institutionen för kliniska vetenskaper, Lund, Department of Clinical Sciences, Lund, Sektion V, Division V, Kirurgi, Lund, Surgery (Lund)
Kanetsky, Peter A, (författare)
H. Lee Moffitt Cancer Center & Research Institute
Karagas, Margaret R, (författare)
Dartmouth College
Lee, Tim K, (författare)
BC Cancer Research Centre
Le Marchand, Loïc, (författare)
University of Hawaii Cancer Center
Mackie, Rona M, (författare)
University of Glasgow
Olsson, Håkan, (författare)
Lunds universitet, Lund University, Medicinska fakulteten, Faculty of Medicine, Institutionen för kliniska vetenskaper, Lund, Department of Clinical Sciences, Lund, Sektion V, Division V, Onkologi och Patologi, Kampradlab, Oncology and Pathology, Kamprad Lab, Strategiska forskningsområden, Strategic Research Areas, BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation, BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation
Østerlind, Anne, (författare)
No affiliation available (private)
Rebbeck, Timothy R, (författare)
University of Pennsylvania
Reich, Kristian, (författare)
Dermatologikum Hamburg
Sasieni, Peter, (författare)
Queen Mary University
Siskind, Victor, (författare)
QIMR Berghofer Medical Research Institute
Swerdlow, Anthony J, (författare)
Institute of Cancer Research London
Titus, Linda, (författare)
Dartmouth College
Zens, Michael S, (författare)
Dartmouth College
Ziegler, Andreas, (författare)
University of Lübeck
Gallagher, Richard P, (författare)
BC Cancer Research Centre
Barrett, Jennifer H, (författare)
University of Leeds
Newton-Bishop, Julia, (författare)
University of Leeds
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Lunds universitet Kirurgi, Lund. (creator_code:org_t)
Lunds universitet Onkologi och Patologi, Kampradlab. (creator_code:org_t)
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Lunds universitet BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation. (creator_code:org_t)
Lunds universitet EpiHealth: Epidemiology for Health. (creator_code:org_t)
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2015
Engelska 8 s.
Ingår i: Cancer Epidemiology Biomarkers & Prevention. - American Association for Cancer Research. - 1538-7755. ; 24:5, s. 24-817
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • BACKGROUND: We report the development of a cutaneous melanoma risk algorithm based upon seven factors; hair color, skin type, family history, freckling, nevus count, number of large nevi, and history of sunburn, intended to form the basis of a self-assessment Web tool for the general public.METHODS: Predicted odds of melanoma were estimated by analyzing a pooled dataset from 16 case-control studies using logistic random coefficients models. Risk categories were defined based on the distribution of the predicted odds in the controls from these studies. Imputation was used to estimate missing data in the pooled datasets. The 30th, 60th, and 90th centiles were used to distribute individuals into four risk groups for their age, sex, and geographic location. Cross-validation was used to test the robustness of the thresholds for each group by leaving out each study one by one. Performance of the model was assessed in an independent UK case-control study dataset.RESULTS: Cross-validation confirmed the robustness of the threshold estimates. Cases and controls were well discriminated in the independent dataset [area under the curve, 0.75; 95% confidence interval (CI), 0.73-0.78]. Twenty-nine percent of cases were in the highest risk group compared with 7% of controls, and 43% of controls were in the lowest risk group compared with 13% of cases.CONCLUSION: We have identified a composite score representing an estimate of relative risk and successfully validated this score in an independent dataset.IMPACT: This score may be a useful tool to inform members of the public about their melanoma risk.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Nyckelord

Algorithms
Case-Control Studies
Humans
Melanoma
Research Design
Risk Factors
Skin Neoplasms
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Validation Studies

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