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Items: 1 to 20 of 227

1.

Development and External Validation of a Melanoma Risk Prediction Model Based on Self-assessed Risk Factors.

Vuong K, Armstrong BK, Weiderpass E, Lund E, Adami HO, Veierod MB, Barrett JH, Davies JR, Bishop DT, Whiteman DC, Olsen CM, Hopper JL, Mann GJ, Cust AE, McGeechan K; Australian Melanoma Family Study Investigators.

JAMA Dermatol. 2016 Aug 1;152(8):889-96. doi: 10.1001/jamadermatol.2016.0939.

2.

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.

Cust AE, Goumas C, Vuong K, Davies JR, Barrett JH, Holland EA, Schmid H, Agha-Hamilton C, Armstrong BK, Kefford RF, Aitken JF, Giles GG, Bishop D, Newton-Bishop JA, Hopper JL, Mann GJ, Jenkins MA.

BMC Cancer. 2013 Sep 4;13:406. doi: 10.1186/1471-2407-13-406.

3.

Individual risk of cutaneous melanoma in New Zealand: developing a clinical prediction aid.

Sneyd MJ, Cameron C, Cox B.

BMC Cancer. 2014 May 22;14:359. doi: 10.1186/1471-2407-14-359.

4.

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

Penn LA, Qian M, Zhang E, Ng E, Shao Y, Berwick M, Lazovich D, Polsky D.

PLoS One. 2014 Jul 8;9(7):e101507. doi: 10.1371/journal.pone.0101507. eCollection 2014.

5.

Risk prediction models for incident primary cutaneous melanoma: a systematic review.

Vuong K, McGeechan K, Armstrong BK, Cust AE.

JAMA Dermatol. 2014 Apr;150(4):434-44. doi: 10.1001/jamadermatol.2013.8890. Review.

PMID:
24522401
6.

Does the addition of information on genotype improve prediction of the risk of melanoma and nonmelanoma skin cancer beyond that obtained from skin phenotype?

Dwyer T, Stankovich JM, Blizzard L, FitzGerald LM, Dickinson JL, Reilly A, Williamson J, Ashbolt R, Berwick M, Sale MM.

Am J Epidemiol. 2004 May 1;159(9):826-33.

PMID:
15105175
7.

Italian Euromelanoma Day Screening Campaign (2005-2007) and the planning of melanoma screening strategies.

Seidenari S, Benati E, Ponti G, Borsari S, Ferrari C, Albertini G, Altomare G, Arcangeli F, Aste N, Bernengo MG, Bongiorno MR, Borroni G, Calvieri S, Chimenti S, Cusano F, Fracchiolla C, Gaddoni G, Girolomoni G, Guarneri B, Lanzoni A, Lombardi M, Lotti T, Mariotti A, Marsili F, Micali G, Parodi A, Peris K, Peserico A, Quaglino P, Santini M, Schiavon S, Tonino C, Trevisan G, Tribuzi P, Valentini P, Vena GA, Virgili A.

Eur J Cancer Prev. 2012 Jan;21(1):89-95. doi: 10.1097/CEJ.0b013e3283498e14.

8.

Risk factors for keratinocyte skin cancer in patients diagnosed with melanoma, a large retrospective study.

Espinosa P, Pfeiffer RM, García-Casado Z, Requena C, Landi MT, Kumar R, Nagore E.

Eur J Cancer. 2016 Jan;53:115-24. doi: 10.1016/j.ejca.2015.10.058. Epub 2015 Dec 17.

PMID:
26702765
9.

Risk of Next Melanoma in Patients With Familial and Sporadic Melanoma by Number of Previous Melanomas.

Chen T, Fallah M, Försti A, Kharazmi E, Sundquist K, Hemminki K.

JAMA Dermatol. 2015 Jun;151(6):607-15. doi: 10.1001/jamadermatol.2014.4777.

PMID:
25671687
10.

Melanoma risk prediction models.

Nikolić J, Loncar-Turukalo T, Sladojević S, Marinković M, Janjić Z.

Vojnosanit Pregl. 2014 Aug;71(8):757-66.

PMID:
25181836
11.

Venous Thrombosis Risk after Cast Immobilization of the Lower Extremity: Derivation and Validation of a Clinical Prediction Score, L-TRiP(cast), in Three Population-Based Case-Control Studies.

Nemeth B, van Adrichem RA, van Hylckama Vlieg A, Bucciarelli P, Martinelli I, Baglin T, Rosendaal FR, le Cessie S, Cannegieter SC.

PLoS Med. 2015 Nov 10;12(11):e1001899; discussion e1001899. doi: 10.1371/journal.pmed.1001899. eCollection 2015 Nov.

12.

Identifying individuals at high risk of melanoma: a simple tool.

Fortes C, Mastroeni S, Bakos L, Antonelli G, Alessandroni L, Pilla MA, Alotto M, Zappalà A, Manoorannparampill T, Bonamigo R, Pasquini P, Melchi F.

Eur J Cancer Prev. 2010 Sep;19(5):393-400. doi: 10.1097/CEJ.0b013e32833b492f.

PMID:
20520559
13.
14.

Screening for Skin Cancer in Adults: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force.

Wernli KJ, Henrikson NB, Morrison CC, Nguyen M, Pocobelli G, Blasi PR.

JAMA. 2016 Jul 26;316(4):436-47. doi: 10.1001/jama.2016.5415. Review.

PMID:
27458949
15.

A prospective, population-based study of 40,000 women regarding host factors, UV exposure and sunbed use in relation to risk and anatomic site of cutaneous melanoma.

Nielsen K, Måsbäck A, Olsson H, Ingvar C.

Int J Cancer. 2012 Aug 1;131(3):706-15. doi: 10.1002/ijc.26408. Epub 2011 Oct 20.

16.

Similar anatomical distributions of childhood naevi and cutaneous melanoma in young adults residing in northern and southern Sweden.

Karlsson MA, Rodvall Y, Wahlgren CF, Wiklund K, Lindelöf B.

Eur J Cancer. 2015 Sep;51(14):2067-75. doi: 10.1016/j.ejca.2015.06.114. Epub 2015 Jul 14.

PMID:
26187511
17.

Skin color parameters and Fitzpatrick phototypes in estimating the risk of skin cancer: A case-control study in the Polish population.

Sitek A, Rosset I, Żądzińska E, Kasielska-Trojan A, Neskoromna-Jędrzejczak A, Antoszewski B.

J Am Acad Dermatol. 2016 Apr;74(4):716-23. doi: 10.1016/j.jaad.2015.10.022. Epub 2016 Jan 14.

PMID:
26777103
18.
19.

Prediction of high naevus count in a healthy U.K. population to estimate melanoma risk.

Ribero S, Zugna D, Osella-Abate S, Glass D, Nathan P, Spector T, Bataille V.

Br J Dermatol. 2016 Feb;174(2):312-8. doi: 10.1111/bjd.14216. Epub 2015 Dec 14.

PMID:
26479165
20.

Association of Patient Risk Factors and Frequency of Nevus-Associated Cutaneous Melanomas.

Haenssle HA, Mograby N, Ngassa A, Buhl T, Emmert S, Schön MP, Rosenberger A, Bertsch HP.

JAMA Dermatol. 2016 Mar;152(3):291-8. doi: 10.1001/jamadermatol.2015.3775.

PMID:
26536613

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