BackgroundBreslow thickness, patient age and ulceration are the three most valuable clinical and pathological predictors of melanoma survival. A readily available reliable online tool that accurately considers these and other predictors could be valuable for clinicians managing melanoma patients. ObjectiveTo compare online melanoma survival prediction tools that request user input on clinical and pathological features. MethodsSearch engines were used to identify available predictive nomograms. For each, clinical and pathological predictors were compared. ResultsThree tools were identified. The American Joint Committee on Cancer tool inappropriately rated thin tumours as higher risk than intermediate tumours. The University of Louisville tool was found to have six shortcomings: a requirement for sentinel node biopsy, unavailable input of thin melanoma or patients over 70 years of age and less reliable hazard ratio calculations for age, ulceration and tumour thickness. The LifeMath.net tool was found to appropriately consider tumour thickness, ulceration, age, sex, site and tumour subtype in predicting survival. LimitationsThe authors did not have access to the base data used to compile various prediction tools. ConclusionThe LifeMath.net prediction tool is the most reliable for clinicians in counselling patients with newly diagnosed primary cutaneous melanoma regarding their survival prospects.
Online prediction tools for melanoma survival: A comparison / Dixon, A; Steinman, H K; Kyrgidis, A; Smith, H; Sladden, M; Zouboulis, C; Argenziano, G; Apalla, Z; Lallas, A; Longo, C; Nirenberg, A; Popescu, C; Tzellos, T; Cleaver, L; Zachary, C; Anderson, S; Thomas, J M. - In: JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY. - ISSN 1468-3083. - (2023), pp. N/A-N/A. [10.1111/jdv.19219]
Online prediction tools for melanoma survival: A comparison
Kyrgidis, A;Argenziano, G;Longo, C;
2023
Abstract
BackgroundBreslow thickness, patient age and ulceration are the three most valuable clinical and pathological predictors of melanoma survival. A readily available reliable online tool that accurately considers these and other predictors could be valuable for clinicians managing melanoma patients. ObjectiveTo compare online melanoma survival prediction tools that request user input on clinical and pathological features. MethodsSearch engines were used to identify available predictive nomograms. For each, clinical and pathological predictors were compared. ResultsThree tools were identified. The American Joint Committee on Cancer tool inappropriately rated thin tumours as higher risk than intermediate tumours. The University of Louisville tool was found to have six shortcomings: a requirement for sentinel node biopsy, unavailable input of thin melanoma or patients over 70 years of age and less reliable hazard ratio calculations for age, ulceration and tumour thickness. The LifeMath.net tool was found to appropriately consider tumour thickness, ulceration, age, sex, site and tumour subtype in predicting survival. LimitationsThe authors did not have access to the base data used to compile various prediction tools. ConclusionThe LifeMath.net prediction tool is the most reliable for clinicians in counselling patients with newly diagnosed primary cutaneous melanoma regarding their survival prospects.
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