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Predicting recurrence in patients with sentinel node-negative melanoma: validation of the EORTC nomogram using
M A El Sharouni1,2, T Ahmed1, A J Witkamp3
1Melanoma Institute, The University of Sydney, Sydney, NSW, Australia.
The British Journal of Surgery
|May 27, 2021
Summary
This study validated the European Organization for Research and Treatment of Cancer (EORTC) nomogram for predicting recurrence in sentinel node-negative melanoma patients. The model accurately identifies high-risk individuals for personalized follow-up and treatment trials.
Area of Science:
- Oncology
- Dermatology
- Biostatistics
Background:
- Identifying high-risk sentinel node (SN)-negative melanoma patients for recurrence is crucial.
- The European Organization for Research and Treatment of Cancer (EORTC) Melanoma Group developed a prognostic nomogram.
- External validation of the EORTC nomogram in population-based data was lacking.
Purpose of the Study:
- To externally validate the EORTC nomogram using a large national dataset.
- To assess the nomogram's predictive performance for recurrence-free survival in SN-negative melanoma patients.
- To determine the nomogram's utility in clinical practice.
Main Methods:
- Utilized data from 8795 adult patients with invasive cutaneous melanoma and negative SN biopsy in the Netherlands (2000-2014).
- Extracted relevant clinical and pathological data from the Dutch Pathology Registry.
- Assessed the EORTC nomogram's predictive performance using discrimination (C-statistic) and calibration (Hosmer-Lemeshow test).
Main Results:
- The EORTC nomogram demonstrated good predictive performance with a C-statistic of 0.70 (95% CI 0.68-0.71) for recurrence-free survival.
- The nomogram showed excellent calibration (R²=0.99; P=0.999).
- 14.7% of patients developed metastatic disease, with 20.9% of recurrences occurring after 5 years.
Conclusions:
- This population-based validation confirms the EORTC nomogram's value in predicting recurrence-free survival for SN-negative melanoma patients.
- The nomogram can aid in personalizing patient follow-up strategies.
- It assists in selecting high-risk patients for adjuvant systemic therapy clinical trials.

