Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add filters








Language
Year range
1.
Int. braz. j. urol ; 45(4): 671-678, July-Aug. 2019. tab, graf
Article in English | LILACS | ID: biblio-1019884

ABSTRACT

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.


Subject(s)
Humans , Male , Adult , Aged , Aged, 80 and over , Penile Neoplasms/pathology , Carcinoma/pathology , Nomograms , Inguinal Canal/pathology , Lymph Nodes/pathology , Lymphatic Metastasis/diagnosis , Reference Values , Logistic Models , Predictive Value of Tests , Reproducibility of Results , Retrospective Studies , Risk Factors , ROC Curve , Tumor Suppressor Protein p53/analysis , Statistics, Nonparametric , Neoplasm Grading , Lymph Node Excision , Middle Aged , Neoplasm Staging
SELECTION OF CITATIONS
SEARCH DETAIL