Fig. 2: Summary of identified prognostic prediction tools for cutaneous melanoma. | BJC Reports

Fig. 2: Summary of identified prognostic prediction tools for cutaneous melanoma.

From: Systematic review of risk prediction tools for primary cutaneous melanoma outcomes and validation of sentinel lymph node positivity prediction in a UK tertiary cohort

Fig. 2

AJCC American Joint Committee on Cancer, TILs tumour infiltrating lymphocytes, Cox Reg Cox Regression Model (proportional hazards or logistic), LR Logistic Regression, KM Kaplan Meier, ML machine learning, Survival model predicting patient survival (disease specific or overall), Recurrence model predicting disease recurrence, SLNB result model predicting the result of a sentinel lymph node biopsy procedure, SEER Surveillance, Epidemiology, and End Results, EORTC European Organisation for Research And Treatment of Cancer).

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