Progression-free survival as surrogate endpoint in high-risk non-muscle invasive bladder cancer studies: results from a machine learning-based analysis of a large multi-institutional database

Autor: M. Marchioni, A. Porreca, M. Di Nicola, G. Lucarelli, V.M. Dorin, F. Soria, D. Terracciano, F.A. Mistretta, C. Buonerba, F. Cantiello, A. Mari, A. Minervini, A. Veccia, G. Musi, R. Hurle, G.M. Busetto, F. Del Giudice, B.I. Chung, F. Berardinelli, S. Perdonà, P. Del Prete, V. Mirone, M. Borghesi, P. Bove, R. Autorino, N. Crisan, M. Battaglia, P. Ditonno, G.I. Russo, M. Muto, R. Damiano, F. Porpiglia, O. de Cobelli, L. Schips, M. Ferro
Rok vydání: 2022
Předmět:
Zdroj: European Urology Open Science. 44:S107
ISSN: 2666-1683
DOI: 10.1016/s2666-1683(22)01228-9
Databáze: OpenAIRE