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Int. braz. j. urol ; 45(4): 671-678, July-Aug. 2019. tab, graf
Artículo en Inglés | LILACS | ID: biblio-1019884

RESUMEN

ABSTRACT Introduction Penile cancer (PC) occurs less frequently in Europe and in the United States than in South America and parts of Africa. Lymph node (LN) involvement is the most important prognostic factor, and inguinal LN (ILN) dissection can be curative; however, ILN dissection has high morbidity. A nomogram was previously developed based on clinicopathological features of PC to predict ILN metastases. Our objective was to conduct an external validation of the previously developed nomogram based on our population. Materials and methods We included men with cN0 ILNs who underwent ILN dissection for penile carcinoma between 2000 and 2014. We performed external validation of the nomogram considering three different external validation methods: k-fold, leave-one-out, and bootstrap. We also analyzed prognostic variables. Performance was quantified in terms of calibration and discrimination (receiver operator characteristic curve). A logistic regression model for positive ILNs was developed based on clinicopathological features of PC. Results We analyzed 65 men who underwent ILN dissection (cN0). The mean age was 56.8 years. Of 65 men, 24 (36.9%) presented with positive LNs. A median 21 ILNs were removed. Considering the three different methods used, we concluded that the previously developed nomogram was not suitable for our sample. Conclusions In our study, the previously developed nomogram that was applied to our population had low accuracy and low precision for correctly identifying patients with PC who have positive ILNs.


Asunto(s)
Humanos , Masculino , Adulto , Anciano , Anciano de 80 o más Años , Neoplasias del Pene/patología , Carcinoma/patología , Nomogramas , Conducto Inguinal/patología , Ganglios Linfáticos/patología , Metástasis Linfática/diagnóstico , Valores de Referencia , Modelos Logísticos , Valor Predictivo de las Pruebas , Reproducibilidad de los Resultados , Estudios Retrospectivos , Factores de Riesgo , Curva ROC , Proteína p53 Supresora de Tumor/análisis , Estadísticas no Paramétricas , Clasificación del Tumor , Escisión del Ganglio Linfático , Persona de Mediana Edad , Estadificación de Neoplasias
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