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1.
Nat Rev Urol ; 20(8): 494-501, 2023 08.
Article in English | MEDLINE | ID: mdl-37012441

ABSTRACT

PIONEER is a European network of excellence for big data in prostate cancer consisting of 37 private and public stakeholders from 9 countries across Europe. Many progresses have been done in prostate cancer management, but unanswered questions in the field still exist, and big data could help to answer these questions. The PIONEER consortium conducted a two-round modified Delphi survey aiming at building consensus between two stakeholder groups - health-care professionals and patients with prostate cancer - about the most important questions in the field of prostate cancer to be answered using big data. Respondents were asked to consider what would be the effect of answering the proposed questions on improving diagnosis and treatment outcomes for patients with prostate cancer and to score these questions on a scale of 1 (not important) to 9 (critically important). The mean percentage of participants who scored each of the proposed questions as critically important was calculated across the two stakeholder groups and used to rank the questions and identify the highest scoring questions in the critically important category. The identification of questions in prostate cancer that are important to various stakeholders will help the PIONEER consortium to provide answers to these questions to improve the clinical care of patients with prostate cancer.


Subject(s)
Prostatic Neoplasms , Male , Humans , Consensus , Prostatic Neoplasms/diagnosis , Prostatic Neoplasms/therapy , Treatment Outcome , Europe
2.
BMJ Open ; 12(4): e058267, 2022 04 04.
Article in English | MEDLINE | ID: mdl-35379637

ABSTRACT

OBJECTIVES: As part of the PIONEER Consortium objectives, we have explored which diagnostic and prognostic factors (DPFs) are available in relation to our previously defined clinician and patient-reported outcomes for prostate cancer (PCa). DESIGN: We performed a systematic review to identify validated and non-validated studies. DATA SOURCES: MEDLINE, Embase and the Cochrane Library were searched on 21 January 2020. ELIGIBILITY CRITERIA: Only quantitative studies were included. Single studies with fewer than 50 participants, published before 2014 and looking at outcomes which are not prioritised in the PIONEER core outcome set were excluded. DATA EXTRACTION AND SYNTHESIS: After initial screening, we extracted data following the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of prognostic factor studies (CHARMS-PF) criteria and discussed the identified factors with a multidisciplinary expert group. The quality of the included papers was scored for applicability and risk of bias using validated tools such as PROBAST, Quality in Prognostic Studies and Quality Assessment of Diagnostic Accuracy Studies 2. RESULTS: The search identified 6604 studies, from which 489 DPFs were included. Sixty-four of those were internally or externally validated. However, only three studies on diagnostic and seven studies on prognostic factors had a low risk of bias and a low risk concerning applicability. CONCLUSION: Most of the DPFs identified require additional evaluation and validation in properly designed studies before they can be recommended for use in clinical practice. The PIONEER online search tool for DPFs for PCa will enable researchers to understand the quality of the current research and help them design future studies. ETHICS AND DISSEMINATION: There are no ethical implications.


Subject(s)
Prostatic Neoplasms , Bias , Humans , Male , Mass Screening , Prognosis , Prostatic Neoplasms/diagnosis
3.
Eur Urol ; 81(5): 503-514, 2022 05.
Article in English | MEDLINE | ID: mdl-35184906

ABSTRACT

CONTEXT: Harmonisation of outcome reporting and definitions for clinical trials and routine patient records can enable health care systems to provide more efficient outcome-driven and patient-centred interventions. We report on the work of the PIONEER Consortium in this context for prostate cancer (PCa). OBJECTIVE: To update and integrate existing core outcome sets (COS) for PCa for the different stages of the disease, assess their applicability, and develop standardised definitions of prioritised outcomes. EVIDENCE ACQUISITION: We followed a four-stage process involving: (1) systematic reviews; (2) qualitative interviews; (3) expert group meetings to agree standardised terminologies; and (4) recommendations for the most appropriate definitions of clinician-reported outcomes. EVIDENCE SYNTHESIS: Following four systematic reviews, a multinational interview study, and expert group consensus meetings, we defined the most clinically suitable definitions for (1) COS for localised and locally advanced PCa and (2) COS for metastatic and nonmetastatic castration-resistant PCa. No new outcomes were identified in our COS for localised and locally advanced PCa. For our COS for metastatic and nonmetastatic castration-resistant PCa, nine new core outcomes were identified. CONCLUSIONS: These are the first COS for PCa for which the definitions of prioritised outcomes have been surveyed in a systematic, transparent, and replicable way. This is also the first time that outcome definitions across all prostate cancer COS have been agreed on by a multidisciplinary expert group and recommended for use in research and clinical practice. To limit heterogeneity across research, these COS should be recommended for future effectiveness trials, systematic reviews, guidelines and clinical practice of localised and metastatic PCa. PATIENT SUMMARY: Patient outcomes after treatment for prostate cancer (PCa) are difficult to compare because of variability. To allow better use of data from patients with PCa, the PIONEER Consortium has standardised and recommended outcomes (and their definitions) that should be collected as a minimum in all future studies.


Subject(s)
Prostatic Neoplasms, Castration-Resistant , Consensus , Humans , Male , Orchiectomy , Outcome Assessment, Health Care
4.
BMJ Open ; 11(2): e040531, 2021 02 11.
Article in English | MEDLINE | ID: mdl-33574142

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.


Subject(s)
Prostatic Neoplasms , Bias , Europe , Humans , Male , Prognosis , Prostatic Neoplasms/diagnosis , Systematic Reviews as Topic
6.
Nat Rev Urol ; 17(6): 351-362, 2020 06.
Article in English | MEDLINE | ID: mdl-32461687

ABSTRACT

Prostate Cancer Diagnosis and Treatment Enhancement Through the Power of Big Data in Europe (PIONEER) is a European network of excellence for big data in prostate cancer, consisting of 32 private and public stakeholders from 9 countries across Europe. Launched by the Innovative Medicines Initiative 2 and part of the Big Data for Better Outcomes Programme (BD4BO), the overarching goal of PIONEER is to provide high-quality evidence on prostate cancer management by unlocking the potential of big data. The project has identified critical evidence gaps in prostate cancer care, via a detailed prioritization exercise including all key stakeholders. By standardizing and integrating existing high-quality and multidisciplinary data sources from patients with prostate cancer across different stages of the disease, the resulting big data will be assembled into a single innovative data platform for research. Based on a unique set of methodologies, PIONEER aims to advance the field of prostate cancer care with a particular focus on improving prostate-cancer-related outcomes, health system efficiency by streamlining patient management, and the quality of health and social care delivered to all men with prostate cancer and their families worldwide.


Subject(s)
Big Data , Biomedical Research , Prostatic Neoplasms , Humans , Male
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