Independent validation of six melanoma risk prediction models

Journal of Investigative Dermatology

Volumn 135, Issue 5, 2015, Pages 1377-1384

  Olsen, Catherine M ^a   Neale, Rachel E ^a   Green, Adèle C ^a,b   Webb, Penelope M ^a   Whiteman, David C ^a  

^a QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CALIBRATION; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CANCER PROGNOSIS; CANCER RISK; CLINICAL FEATURE; DIAGNOSTIC ACCURACY; HUMAN; MELANOMA; MODEL; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; RISK PREDICTION MODEL; SENSITIVITY AND SPECIFICITY; ADOLESCENT; ADULT; AGED; AUSTRALIA; FEMALE; MALE; MIDDLE AGED; RISK FACTOR; SKIN NEOPLASMS; STATISTICAL MODEL; VALIDATION STUDY; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AUSTRALIA; FEMALE; HUMANS; MALE; MELANOMA; MIDDLE AGED; MODELS, STATISTICAL; RISK FACTORS; ROC CURVE; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS; YOUNG ADULT;

EID: 84928650983     PISSN: 0022202X     EISSN: 15231747     Source Type: Journal    
DOI: 10.1038/jid.2014.533     Document Type: Article

References (44)

1. Altman DG, Vergouwe Y, Royston P et al. (2009) Prognosis and prognostic research: validating a prognostic model. BMJ 338:b605
2. Australian Cancer Network Melanoma Guidelines Revision Working Party (2008) Clinical Practice Guidelines for the Managment of Melanoma in Australia and New Zealand
3. Barbini P, Cevenini G, Rubegni P et al. (1998) Instrumental measurement of skin colour and skin type as risk factors for melanoma: a statistical classification procedure. Melanoma Res 8:439-47
4. Bishop DT, Demenais F, Iles MM et al. (2009) Genome-wide association study identifies three loci associated with melanoma risk. Nat Genet 41:920-5
5. Cancer Council Australia and Australian Cancer Network, Sydney and New Zealand Guidelines Group: Wellington Cho E, Rosner BA, Feskanich D et al. (2005) Risk factors and individual probabilities of melanoma for whites. J Clin Oncol 23:2669-75
6. Cust AE, Bui M, Goumas C et al. (2014) Contribution of MC1R genotype and novel common genomic variants to melanoma risk prediction. Cancer Epidemiol Biomarkers Prev 23:566-7
7. Eastham JA, May R, Robertson JL et al. (1999) Development of a nomogram that predicts the probability of a positive prostate biopsy in men with an abnormal digital rectal examination and a prostate-specific antigen between 0 and 4 ng/mL. Urology 54:709-13
8. English DR, Armstrong BK (1988) Identifying people at high risk of cutaneous malignant melanoma: results from a case-control study in Western Australia. Br Med J 296:1285-8
9. Fargnoli MC, Piccolo D, Altobelli E et al. (2004) Constitutional and environmental risk factors for cutaneous melanoma in an Italian population. A case-control study. Melanoma Res 14:151-7
10. Fears TR, Dt Guerry, Pfeiffer RM et al. (2006) Identifying individuals at high risk of melanoma: a practical predictor of absolute risk. J Clin Oncol 24:3590-6
11. Feightner JW (1994) Prevention of Skin Cancer. Canadian Task Force on the Periodic Health Examination: Ottawa
12. Fortes C, Mastroeni S, Bakos L et al. (2010) Identifying individuals at high risk of melanoma: a simple tool. Eur J Cancer Prev 19:393-400
13. Freedberg KA, Geller AC, Miller DR et al. (1999) Screening for malignant melanoma: a cost-effectiveness analysis. J Am Acad Dermatol 41:738-45
14. Freedman AN, Seminara D, Gail MH et al. (2005) Cancer risk prediction models: a workshop on development, evaluation, and application. J Natl Cancer Inst 97:715-23
15. Gail MH, Brinton LA, Byar DP et al. (1989) Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst 81:1879-86
16. Garbe C, Buttner P, Weiss J et al. (1994) Risk factors for developing cutaneous melanoma and criteria for identifying persons at risk: multicenter case-control study of the central malignant melanoma registry of the German Dermatological Society. J Invest Dermatol 102:695-9
17. Geller AC (2002) Screening for melanoma. Dermatol Clin 20:629-40. viii
18. Goldberg MS, Doucette JT, Lim HW et al. (2007) Risk factors for presumptive melanoma in skin cancer screening: American Academy of Dermatology National Melanoma/Skin Cancer Screening Program experience 2001-2005. J Am Acad Dermatol 57:60-6
19. Green AC, Siskind V (2012) Risk factors for limb melanomas compared with trunk melanomas in Queensland. Melanoma Res 22:86-91
20. Guther S, Ramrath K, Dyall-Smith D et al. (2012) Development of a targeted risk-group model for skin cancer screening based on more than 100, 000 total skin examinations. J Eur Acad Dermatol Venereol 26:86-94
21. Harbauer A, Binder M, Pehamberger H et al. (2003) Validity of an unsupervised self-administered questionnaire for self-assessment of melanoma risk. Melanoma Res 13:537-42
22. Hosmer DW, Hosmer T, Le Cessie S et al. (1997) A comparison of goodness-offit tests for the logistic regression model. Stat Med 16:965-80
23. Imperiale TF, Wagner DR, Lin CY et al. (2003) Using risk for advanced proximal colonic neoplasia to tailor endoscopic screening for colorectal cancer. Ann Intern Med 139:959-65
24. Kanetsky PA, Panossian S, Elder DE et al. (2010) Does MC1R genotype convey information about melanoma risk beyond risk phenotypes? Cancer 116:2416-28
25. Kvaskoff M, Pandeya N, Green AC et al. (2013) Site-specific determinants of cutaneous melanoma: a case-case comparison of patients with tumors arising on the head or trunk. Cancer Epidemiol Biomarkers Prev 22: 2222-31
26. Landi MT, Baccarelli A, Calista D et al. (2001) Combined risk factors for melanoma in a Mediterranean population. Br J Cancer 85:1304-10
27. MacKie RM, Freudenberger T, Aitchison TC (1989) Personal risk-factor chart for cutaneous melanoma. Lancet 2:487-90
28. MacKie RM, McHenry P, Hole D (1993) Accelerated detection with prospective surveillance for cutaneous malignant melanoma in high-risk groups. Lancet 341:1618-20
29. Mar V, Wolfe R, Kelly JW (2011) Predicting melanoma risk for the Australian population. Australas J Dermatol 52:109-16
30. Marrett LD, King WD, Walter SD et al. (1992) Use of host factors to identify people at high risk for cutaneous malignant melanoma. Cmaj 147:445-53
31. Meads C, Ahmed I, Riley RD (2012) A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance. Breast Cancer Res Treat 132:365-77
32. Moons KG, Altman DG, Vergouwe Y et al. (2009) Prognosis and prognostic research: application and impact of prognostic models in clinical practice. BMJ 338:b606
33. Olsen CM, Green AC, Neale RE et al. (2012) Cohort profile: the QSkin Sun and Health Study. Int J Epidemiol 41:929-92
34. Quereux G, Moyse D, Lequeux Y et al. (2011) Development of an individual score for melanoma risk. Eur J Cancer Prev 20:217-24
35. Reilly BM, Evans AT (2006) Translating clinical research into clinical practice: impact of using prediction rules to make decisions. Ann Intern Med 144:201-9
36. Smith LA, Qian M, Ng E (2012) Development of a melanoma risk prediction model incorporating MC1R genotype and indoor tanning exposure. Paper presented at: American Society of Clinical Oncology Annual Meeting: June 1-5, 2012; Chicago, IL
37. Spitz MR, Hong WK, Amos CI et al. (2007) A risk model for prediction of lung cancer. J Natl Cancer Inst 99:715-26
38. Stefanaki I, Panagiotou OA, Kodela E et al. (2013) Replication and predictive value of SNPs associated with melanoma and pigmentation traits in a Southern European case-control study. PLoS One 8: e55712
39. Usher-Smith JA, Emery J, Kassianos AP et al. (2014) Risk prediction models for melanoma: a systematic review. Cancer Epidemiol Biomarkers Prev 23:1450-63
40. Vuong K, McGeechan K, Armstrong BK et al. (2014) Risk prediction models for incident primary cutaneous melanoma: a systematic review. JAMA Dermatol 150:434-44
41. Whiteman DC, Green AC (2005) A risk prediction tool for melanoma? Cancer Epidemiol Biomarkers Prev 14:761-3
42. Williams LH, Shors AR, Barlow WE et al. (2011) Identifying persons at highest risk of melanoma using self-assessed risk factors. J Clin Exp Dermatol Res 2(6). pii: 1000129
43. Wolff T, Tai E, Miller T (2009) Screening for skin cancer: an update of the evidence for the U.S. Preventive Services Task Force. Ann Intern Med 150:194-8
44. Zweig MH, Campbell G (1993) Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem 39:561-77