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Predicting recurrence in patients with sentinel node-negative melanoma: validation of the EORTC nomogram using population-based data.
- Source :
- British Journal of Surgery; May2021, Vol. 108 Issue 5, p550-553, 4p
- Publication Year :
- 2021
-
Abstract
- Background: Identifying patients with sentinel node (SN)-negative melanoma who are at greatest risk of recurrence is important. The European Organization for Research and Treatment of Cancer (EORTC) Melanoma Group proposed a prognostic model that has not been validated in population-based data. The EORTC nomogram includes Breslow thickness, ulceration status and anatomical location as parameters. The aim of this study was to validate the EORTC model externally using a large national data set. Methods: Adults with histologically proven, invasive cutaneous melanoma with a negative SN biopsy in the Netherlands between 2000 and 2014 were identified from the Dutch Pathology Registry, and relevant data were extracted. The EORTC nomogram was used to predict recurrence-free survival. The predictive performance of the nomogram was assessed by discrimination (C-statistic) and calibration. Results: A total of 8795 patients met the eligibility criteria, of whom 14·7 per cent subsequently developed metastatic disease. Of these recurrences, 20·9 per cent occurred after the first 5 years of follow-up. Validation of the EORTC nomogram showed a C-statistic of 0·70 (95 per cent c.i. 0·68 to 0·71) for recurrence-free survival, with excellent calibration (R2 = 0·99; P = 0·999, Hosmer-Lemeshow test). Conclusion: This population-based validation confirmed the value of the EORTC nomogram in predicting recurrence-free survival in patients with SN-negative melanoma. The EORTC nomogram could be used in clinical practice for personalizing follow-up and selecting high-risk patients for trials of adjuvant systemic therapy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00071323
- Volume :
- 108
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- British Journal of Surgery
- Publication Type :
- Academic Journal
- Accession number :
- 152598061
- Full Text :
- https://doi.org/10.1002/bjs.11946