Evidence map›Paper›PMID 39251785›Full record

ReviewNature reviews. Urology2025

PIONEER big data platform for prostate cancer: lessons for advancing future real-world evidence research.

Ailbhe Lawlor, Katharina Beyer, Beth Russell, Carl Steinbeisser, Anders Bjartell, Bertrand De Meulder, Muhammad Imran Omar, Tim Hulsen, John Butler, James N'Dow and 19 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Ailbhe LawlorTransforming cancer OUtcomes through Research (TOUR), King's College London, London, UK. ailbhe.lawlor@kcl.ac.uk.ORCID 0009-0008-5304-6957
Katharina BeyerDepartment of Urology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, Rotterdam, the Netherlands.
Beth RussellTransforming cancer OUtcomes through Research (TOUR), King's College London, London, UK.
Carl SteinbeisserCollaborate Project Management, Munich, Germany.ORCID 0000-0003-1493-3277
Anders BjartellDepartment of Translational Medicine, Lund University, Malmö, Sweden.
Bertrand De MeulderEuropean Institute for Systems Biology & Medicine, Lyon, France.ORCID 0000-0002-2108-7657
Muhammad Imran OmarAcademic Urology Unit, University of Aberdeen, Aberdeen, Scotland.ORCID 0000-0002-1597-3126
Tim HulsenData Science & AI Engineering, Philips, Eindhoven, the Netherlands.ORCID 0000-0002-0208-8443
John ButlerBayer AB, Medical Affairs Oncology, Stockholm, Sweden.
James N'DowEuropean Association of Urology, Guidelines Office, Arnhem, the Netherlands.
Juan Gómez RivasDepartment of Urology, Clínico San Carlos University Hospital, Madrid, Spain.ORCID 0000-0002-0556-3035
Giorgio GandagliaUniversità Vita-Salute San Raffaele, Milan, Italy.
Rossella NicolettiUnit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Florence, Italy.
Vasileios SakalisDepartment of Urology, Hippokrateion General Hospital of Thessaloniki, Thessaloniki, Greece.
Emma Jane SmithEuropean Association of Urology, Guidelines Office, Arnhem, the Netherlands.
Monika MaassARTTIC Innovation GmbH, Munich, Germany.
Jihong ZongBayer Healthcare, Global Medical Affairs Oncology, Whippany, NJ, USA.
Louise FullwoodPinsent Masons, Leeds, UK.
Thomas AbbottAstellas Pharma, Inc, Northbrook, IL, USA.
Azadeh TafreshihaThe Hyve, Utrecht, The Netherlands.
Kishore PapineniAstellas Pharma, Inc, Northbrook, IL, USA.
Robert SnijderAstellas Pharma, Inc, Northbrook, IL, USA.
Denis HorganEuropean Alliance for Personalized Medicine, Brussels, Belgium.
Sarah SeagerAnalytics & AI, IQVIA, Reading, UK.
Susan Evans-AxelssonBayer AB, Medical Affairs Oncology, Stockholm, Sweden.
Maria J RibalEuropean Association of Urology, Guidelines Office, Arnhem, the Netherlands.
Monique J RoobolDepartment of Urology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, Rotterdam, the Netherlands.ORCID 0000-0001-6967-1708
Mieke Van HemelrijckTransforming cancer OUtcomes through Research (TOUR), King's College London, London, UK.
PIONEER Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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. PIONEER brings together 34 private and public stakeholders from 9 countries in one multidisciplinary research consortium with the aim of positively transforming the field of prostate cancer clinical care by answering pressing questions related to prostate cancer screening, diagnosis and treatment. PIONEER has developed a unique state-of-the-art big data analytic platform by integrating existing data sources from patients with prostate cancer. PIONEER leveraged this platform to address prioritized research questions, filling knowledge gaps in the characterization, management and core outcomes of prostate cancer across the different disease stages. The network has benefited from sustained patient and stakeholder involvement and engagement, but many challenges remain when using real-world data for big data projects. To continue to advance prostate cancer care, data need to be available, suitable methodologies should be selected and mechanisms for knowledge sharing must be in place. Now acting as the prostate cancer arm of the European Association of Urology's new endeavour, UroEvidenceHub, PIONEER maintains its goal of maximizing the potential of big data to improve prostate cancer care.

Indexed as

Big DataProstatic NeoplasmsEuropeHumansMale

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.