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

Lettera in rivista
perioperative complications, nephron sparing surgery, kidney cancer
English
2014
65
1
259
262
none
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/258591
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