Literature DB >> 15824139

A risk prediction tool for melanoma?

David C Whiteman, Adèle C Green.   

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Year:  2005        PMID： 15824139     DOI： 10.1158/1055-9965.EPI-14-4-ED

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN： 1055-9965            Impact factor:   4.254


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  13 in total

1.  Does MC1R genotype convey information about melanoma risk beyond risk phenotypes?

Authors:  Peter A Kanetsky; Saarene Panossian; David E Elder; DuPont Guerry; Michael E Ming; Lynn Schuchter; Timothy R Rebbeck
Journal:  Cancer       Date:  2010-05-15       Impact factor: 6.860

Review 2.  Predicting melanoma risk: theory, practice and future challenges.

Authors:  David Whiteman
Journal:  Melanoma Manag       Date:  2014-12-04

Review 3.  Skin cancer and vitamin D: an update.

Authors:  Candy Wyatt; Rachel E Neale; Robyn M Lucas
Journal:  Melanoma Manag       Date:  2015-02-25

4.  Indoor tanning and the MC1R genotype: risk prediction for basal cell carcinoma risk in young people.

Authors:  Annette M Molinaro; Leah M Ferrucci; Brenda Cartmel; Erikka Loftfield; David J Leffell; Allen E Bale; Susan T Mayne
Journal:  Am J Epidemiol       Date:  2015-04-08       Impact factor: 4.897

5.  Independent validation of six melanoma risk prediction models.

Authors:  Catherine M Olsen; Rachel E Neale; Adèle C Green; Penelope M Webb; David C Whiteman
Journal:  J Invest Dermatol       Date:  2014-12-30       Impact factor: 8.551

6.  Using the Prediction Model Risk of Bias Assessment Tool (PROBAST) to Evaluate Melanoma Prediction Studies.

Authors:  Isabelle Kaiser; Sonja Mathes; Annette B Pfahlberg; Wolfgang Uter; Carola Berking; Markus V Heppt; Theresa Steeb; Katharina Diehl; Olaf Gefeller
Journal:  Cancers (Basel)       Date:  2022-06-20       Impact factor: 6.575

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

Authors:  John R Davies; Yu-mei Chang; D Timothy Bishop; Bruce K Armstrong; Veronique Bataille; Wilma Bergman; Marianne Berwick; Paige M Bracci; J Mark Elwood; Marc S Ernstoff; Adele Green; Nelleke A Gruis; Elizabeth A Holly; Christian Ingvar; Peter A Kanetsky; Margaret R Karagas; Tim K Lee; Loïc Le Marchand; Rona M Mackie; Håkan Olsson; Anne Østerlind; Timothy R Rebbeck; Kristian Reich; Peter Sasieni; Victor Siskind; Anthony J Swerdlow; Linda Titus; Michael S Zens; Andreas Ziegler; Richard P Gallagher; Jennifer H Barrett; Julia Newton-Bishop
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-02-24       Impact factor: 4.254

Review 8.  Epidemiology of invasive cutaneous melanoma.

Authors:  R M MacKie; A Hauschild; A M M Eggermont
Journal:  Ann Oncol       Date:  2009-08       Impact factor: 32.976

9.  MC1R genotype as a predictor of early-onset melanoma, compared with self-reported and physician-measured traditional risk factors: an Australian case-control-family study.

Authors:  Anne E Cust; Chris Goumas; Kylie Vuong; John R Davies; Jennifer H Barrett; Elizabeth A Holland; Helen Schmid; Chantelle Agha-Hamilton; Bruce K Armstrong; Richard F Kefford; Joanne F Aitken; Graham G Giles; D Bishop; Julia A Newton-Bishop; John L Hopper; Graham J Mann; Mark A Jenkins
Journal:  BMC Cancer       Date:  2013-09-04       Impact factor: 4.430

10.  Development of a melanoma risk prediction model incorporating MC1R genotype and indoor tanning exposure: impact of mole phenotype on model performance.

Authors:  Lauren A Penn; Meng Qian; Enhan Zhang; Elise Ng; Yongzhao Shao; Marianne Berwick; DeAnn Lazovich; David Polsky
Journal:  PLoS One       Date:  2014-07-08       Impact factor: 3.240
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