EClinicalMedicine
December 2024
Background: Since 2015 multiple combination treatments became available for metastatic hormone-sensitive prostate cancer (mHSPC) without effectiveness cross-comparison. Health-related quality of life (HRQoL) could aid in decision-making.
Methods: We systematically reviewed HRQoL publications (January 2015-September 2024) of phase III randomized controlled trials (RCTs) in mHSPC using PRISMA guidelines, cross-compared HRQoL results and assessed usefulness to support decision-making (PROSPERO: CRD42023470698).
Background And Objective: Clinical practice guidelines for prostate cancer (PCa) are a valuable resource for everyday clinical practice. The clinical practice guidelines and recommendations produced by various societies should demonstrate a considerable level of consistency in terms of quality, regardless of the society that developed these given the common evidence base. However, to date, no study has assessed the quality of PCa clinical practice guidelines.
View Article and Find Full Text PDFBackground And Objective: The European Association of Urology (EAU)-European Association of Nuclear Medicine (EANM)-European Society for Radiotherapy and Oncology (ESTRO)-European Society of Urogenital Radiology (ESUR)-International Society of Urological Pathology (ISUP)-International Society of Geriatric Oncology (SIOG) guidelines provide recommendations for the management of clinically localised prostate cancer (PCa). This paper aims to present a summary of the 2024 version of the EAU-EANM-ESTRO-ESUR-ISUP-SIOG guidelines on the screening, diagnosis, and treatment of clinically localised PCa.
Methods: The panel performed a literature review of all new data published in English, covering the time frame between May 2020 and 2023.
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 patients' response to treatment.
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