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Predicting recurrence in patients with sentinel node-negative melanoma: validation of the EORTC nomogram using population-based data.

Authors :
El Sharouni, M. A.
Ahmed, T.
Witkamp, A. J.
Sigurdsson, V.
van Gils, C. H.
Nieweg, O. E.
Scolyer, R. A.
Thompson, J. F.
van Diest, P. J.
Lo, S. N.
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