Melanoma Prognosis and Associated Risk Factors: A Retrospective Cohort Study Using Semantic Map Analysis

Abstract

The overall patterns of correlations among various melanoma risk factors have not yet been examined. The aim of this study was to assess the impact of different parameters on disease-free and melanoma-related overall survival. A retrospective cohort study was conducted encompassing all patients with a primary cutaneous melanoma diagnosed in a university referral centre. Associations were explored using semantic map analysis, which uses graph theory to find the strongest path of connections between variables. A total of 1,110 melanoma patients (median follow-up 10.6 years) were included. The analysis revealed a clustering of variables around 2 main hubs: Breslow thickness 10 mm. This semantic analysis confirmed the close link between Breslow thickness, age, sentinel lymph node biopsy findings, skin type, melanoma subtype and prognosis, and provides prognostic information useful for the further stratification and management of patients with melanoma.

Keywords

• melanoma
• outcome
• prognosis
• risk factors
• semantic map analysis
• survival