Predictive Models for Assessing Patients’ Response to Treatment in Metastatic Prostate Cancer: A Systematic Review

Predictive Models for Assessing Patients’ Response to Treatment in Metastatic Prostate Cancer: A Systematic Review

Background and objective: The treatment landscape of metastatic prostate cancer (mPCa) has evolved significantly over the past two decades. Despite this, the optimal therapy for patients with mPCa has not been determined. This systematic review identifies available predictive models that assess mPCa...

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Bibliographic Details
Main Authors: Ailbhe Lawlor, Carol Lin, Juan Gómez Rivas, Laura Ibáñez, Pablo Abad López, Peter-Paul Willemse, Muhammad Imran Omar, Sebastiaan Remmers, Philip Cornford, Pawel Rajwa, Rossella Nicoletti, Giorgio Gandaglia, Jeremy Yuen-Chun Teoh, Jesús Moreno Sierra, Asieh Golozar, Anders Bjartell, Susan Evans-Axelsson, James N'Dow, Jihong Zong, Maria J. Ribal, Monique J. Roobol, Mieke Van Hemelrijck, Katharina Beyer
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:European Urology Open Science
Subjects:
Adverse events
Disease progression
Metastatic prostate cancer
Overall survival
Predictive models
Treatment discontinuation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666168324003513

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http://www.sciencedirect.com/science/article/pii/S2666168324003513

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