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Melanoma: HELP
Articles by F. Fantini
Based on 1 article published since 2008
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Between 2008 and 2019, F. Fantini wrote the following article about Melanoma.
 
+ Citations + Abstracts
1 Article Differences in clinicopathological features and distribution of risk factors in Italian melanoma patients. 2015

Fava, P / Astrua, C / Chiarugi, A / Crocetti, E / Pimpinelli, N / Fargnoli, M C / Maurichi, A / Rubegni, P / Manganoni, A M / Bottoni, U / Catrical√†, C / Cavicchini, S / Santinami, M / Alaibac, M / Annetta, A / Borghi, A / Calzavara Pinton, P / Capizzi, R / Clerico, R / Colombo, E / Corradin, M T / De Simone, P / Fantini, F / Ferreli, C / Filosa, G / Girgenti, V / Giulioni, E / Guarneri, C / Lamberti, A / Lisi, P / Nardini, P / Papini, M / Peris, K / Pizzichetta, M A / Salvini, C / Savoia, P / Strippoli, D / Tolomio, E / Tomassini, M A / Vena, G A / Zichichi, L / Patrizi, A / Argenziano, G / Simonacci, M / Quaglino, P. ·Dermatologic Clinic, Department of Medical Sciences, University of Turin, Turin, Italy. ·Dermatology · Pubmed #25659983.

ABSTRACT: BACKGROUND: No studies are available in the literature on the distribution of different melanoma features and risk factors in the Italian geographical areas. OBJECTIVE: To identify the differences in clinical-pathological features of melanoma, the distribution of risk factors and sun exposure in various Italian macro-areas. METHODS: Multicentric-observational study involving 1,472 melanoma cases (713 north, 345 centre, 414 south) from 26 referral centres belonging to the Italian Multidisciplinary Group for Melanoma. RESULTS: Melanoma patients in northern regions are younger, with thinner melanoma, multiple primaries, lower-intermediate phototype and higher counts of naevi with respect to southern patients; detection of a primary was mostly connected with a physician examination, while relatives were more involved in the south. Northern patients reported a more frequent use of sunbeds and occurrence of sunburns before melanoma despite sunscreen use and a lower sun exposure during the central hours of the day. CONCLUSIONS: The understanding of differences in risk factors distribution could represent the basis for tailored prevention programmes.