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

Katharina Beyer* (Corresponding Author), 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 N'Dow, Alberto Briganti, Mieke Van HemelrijckThe PIONEER Consortium

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: As part of the PIONEER 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 PROBAST (Prediction model Risk Of Bias Assessment Tool) criteria, QUADAS-2 and QUIPS; (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
Number of pages5
JournalBMJ Open
Volume11
Issue number2
Early online date11 Feb 2021
DOIs
Publication statusPublished - 2021

Keywords

  • Prostate cancer
  • diagnostic factor
  • prognostic factors
  • Urological tumours
  • Prostate disease
  • Oncology
  • BIAS
  • RISK
  • oncology
  • PROBAST
  • APPLICABILITY
  • urological tumours
  • TOOL
  • prostate disease

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