Online tools for predicting melanoma survival: Including sentinel node status as a variable improves prediction accuracy

J Eur Acad Dermatol Venereol. 2024 Feb;38(2):e182-e184. doi: 10.1111/jdv.19524. Epub 2023 Oct 14.

Serigne N Lo^{1

2}, Alexander H R Varey^{1

2

3}, Mary-Ann El Sharouni^{1

4}, Richard A Scolyer^{1

2

5

6}, John F Thompson^{1

2

7

8}

¹ Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.
² Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
³ Department of Plastic Surgery, Westmead Hospital, Sydney, New South Wales, Australia.
⁴ Department of Dermatology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
⁵ Department of Tissue Oncology and Diagnostic Pathology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, New South Wales, Australia.
⁶ Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
⁷ Department of Melanoma and Surgical Oncology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.
⁸ Faculty of Health and Medical Sciences, The University of Western Australia, Perth, WA, Australia.

No abstract available

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