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Time to progression is the main predictor of survival in patients with high-risk nonmuscle invasive bladder cancer: Results from a machine learning-based analysis of a large multi-institutional database.

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Title: Time to progression is the main predictor of survival in patients with high-risk nonmuscle invasive bladder cancer: Results from a machine learning-based analysis of a large multi-institutional database.
Authors: Porreca, Annamaria1 (AUTHOR), Di Nicola, Marta1 (AUTHOR), Lucarelli, Giuseppe2 (AUTHOR), Dorin, Vartolomei Mihai3 (AUTHOR), Soria, Francesco4 (AUTHOR), Terracciano, Daniela5 (AUTHOR), Mistretta, Francesco Alessandro6 (AUTHOR), Luzzago, Stefano6 (AUTHOR), Buonerba, Carlo7 (AUTHOR), Cantiello, Francesco8 (AUTHOR), Mari, Andrea9 (AUTHOR), Minervini, Andrea9 (AUTHOR), Veccia, Alessandro10 (AUTHOR), Antonelli, Alessandro10 (AUTHOR), Musi, Gennaro6 (AUTHOR), Hurle, Rodolfo11 (AUTHOR), Busetto, Gian Maria12 (AUTHOR), Del Giudice, Francesco13 (AUTHOR), Ferretti, Simone14 (AUTHOR), Perdonà, Sisto15 (AUTHOR)
Source: Urologic Oncology. Mar2024, Vol. 42 Issue 3, p69.e17-69.e25. 1p.
Database: Academic Search Ultimate
FullText Text:
  Availability: 0
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PubType: Academic Journal
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  Data: Time to progression is the main predictor of survival in patients with high-risk nonmuscle invasive bladder cancer: Results from a machine learning-based analysis of a large multi-institutional database.
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  Data: <searchLink fieldCode="JN" term="%22Urologic+Oncology%22">Urologic Oncology</searchLink>. Mar2024, Vol. 42 Issue 3, p69.e17-69.e25. 1p.
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        Value: 10.1016/j.urolonc.2024.01.001
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        Text: English
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        StartPage: 69.e17
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              Text: Mar2024
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              Y: 2024
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