Diagnostic and prognostic factors in patients with prostate cancer: A systematic review protocol

Katharina Beyer*, Lisa Moris, Michael Lardas, Anna Haire, Francesco Barletta, Simone Scuderi, Eleni Vradi, Giorgio Gandaglia, Muhammad Imran Omar, Steven MacLennan, Jihong Zong, Bahman Farahmand, Sara J. MacLennan, Zsuzsanna Devecseri, Alex Asiimwe, Laurence Collette, Anders Bjartell, James Ndow, Alberto Briganti, Mieke Van Hemelrijck

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)

Abstract

Introduction As part of the PIONEER (Prostate Cancer Diagnosis and Treatment Enhancement Through the Power of Big Data in Europe) Consortium, we will explore which diagnostic and prognostic factors (DPFs) are currently being researched to previously defined clinical and patient-reported outcomes for prostate cancer (PCa). Methods and analysis This research project will follow the following four steps: (1) a broad systematic literature review of DPFs for all stages of PCa, covering evidence from 2014 onwards; (2) discussion of systematic review findings by a multidisciplinary expert panel; (3) risk of bias assessment and applicability with Prediction model Risk Of Bias Assessment Tool criteria, Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) and the Quality In Prognosis Studies tool (QUIPS) and (4) additional quantitative assessments if required. Ethics and dissemination We aim to develop an online tool to present the DPFs identified in this research and make them available across all stakeholders. There are no ethical implications.

Original languageEnglish
Article numbere040531
JournalBMJ Open
Volume11
Issue number2
DOIs
Publication statusPublished - 11 Feb 2021

Keywords

  • Oncology
  • Prostate disease
  • Urological tumours

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