Roscigno, M., Ceresoli, F., Naspro, R., Montorsi, F., Bertini, R., DA POZZO, L. (2014). Predictive accuracy of nephrometric scores can be improved by adding clinical patient characteristics: a novel algorithm combining anatomic tumour complexity, body mass index, and Charlson comorbidity index to depict perioperative complications after nephron-sparing surgery. EUROPEAN UROLOGY, 65(1), 259-262 [10.1016/j.eururo.2013.09.044].
Predictive accuracy of nephrometric scores can be improved by adding clinical patient characteristics: a novel algorithm combining anatomic tumour complexity, body mass index, and Charlson comorbidity index to depict perioperative complications after nephron-sparing surgery
Da Pozzo LF
2014
File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
