Evidence map›Paper›PMID 41127821›Full record

ArticleEuropean urology open science2025

Real-world Evidence on Baseline Characteristics and Treatment in Metastatic Hormone-sensitive Prostate Cancer: Findings from the PIONEER 2.0 Big Data Investigation Group.

Juan Gómez Rivas, Pia Kraft, Susan Evans-Axelsson, Ayman Hijazy, Katharina Beyer, Bertrand De Meulder, Alex Qinyang Liu, Asieh Golozar, Artsiom Harbachou, Qi Feng and 19 more

Abstract read
In one paragraph

Article in European urology open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Juan Gómez RivasHospital Clinico San Carlos, Madrid, Spain.
Pia KraftDepartment of Urology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Susan Evans-AxelssonBayer AG, Berlin, Germany.
Ayman HijazyAssociation EISBM, Vourles, France.
Katharina BeyerDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
Bertrand De MeulderEuropean Institute for Systems Biology and Medicine, CNRS-ENS-UCBL-INSERM, Université de Lyon, Lyon, France.
Alex Qinyang LiuUniversity of Hong Kong, Hong Kong.
Asieh GolozarOdysseus, Inc., New York, NY, USA.
Artsiom HarbachouOdysseus, Inc., New York, NY, USA.
Qi FengAstellas Pharma, Northbrook, IL, USA.
Robert SnijderAstellas Pharma, Tokyo, Japan.
Carl SteinbeisserCollaborate Project Management, Munich, Germany.
Sebastiaan RemmersDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
Giorgio GandagliaUnit of Urology/Division of Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
Pawel RajwaDivision of Surgery and Interventional Sciences, University College London and University College London Hospital, London, UK.
Daniel KotikCenter for Advanced Systems Understanding, Görlitz, Germany.
Veeru KasivisvanathanDivision of Surgery and Interventional Science, University College London, London, UK.
Muhammad I OmarAcademic Urology Unit, University of Aberdeen, Aberdeen, Scotland.
Jesús Moreno SierraHospital Clinico San Carlos, Madrid, Spain.
Alberto BrigantiUnit of Urology/Division of Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
Mauro GacciUnit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Florence, Italy.
Peter-Paul M WillemseUMC Utrecht Cancer Center, MS Oncologic Urology, University Medical Center, Utrecht, Netherlands.
James T BrashIQIVIA, Brighton, UK.
Eleanor DaviesIQIVIA, Brighton, UK.
Philip CornfordLiverpool University Hospitals NHS Trust, Liverpool, UK.
Thomas AbbottAstellas Pharma, Northbrook, IL, USA.
James N'DowAcademic Urology Unit, University of Aberdeen, Aberdeen, Scotland.
Rossella NicolettiUnit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Florence, Italy.
PIONEER 2.0 Big Data Investigation Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: As first-line therapies for metastatic hormone-sensitive prostate cancer (mHSPC) expand, real-world insights into the baseline characteristics and treatment patterns of mHSPC patients are critical. This study characterises baseline patient profiles and treatment patterns in a multinational real-world cohort from the PIONEER 2.0 Big Data Investigation Group. Methods: This longitudinal observational study utilised health records, insurance claims, and cancer registries from eight European and North American databases. Men diagnosed with mHSPC between January 2016 and December 2020 were included. First-line regimes were classified into four cohorts: (1) androgen deprivation therapy (ADT) monotherapy, (2) ADT + chemotherapy, (3) ADT + androgen receptor pathway inhibitors (ARPIs), and (4) ADT + ARPI + chemotherapy. Baseline characteristics were analysed across treatment groups, and treatment patterns were evaluated over time. Key findings and limitations: A total of 69 680 mHSPC patients were identified across eight databases, of whom 71% presented with synchronous mHSPC. The median age ranged from 70 to 79 yr, and the most prevalent comorbidities were arterial hypertension peaking at 71% (OPTUM ADT monotherapy), obesity (up to 46%), and diabetes mellitus (up to 32%). Patients aged 70-79 yr were most often treated with ADT monotherapy or ADT + ARPI, whereas those aged 60-69 yr more frequently received ADT + chemotherapy or ADT + ARPI + chemotherapy. From 2016 through 2020, the adoption of ARPI-based combinations rose steadily, use of ADT + chemotherapy declined, and ADT monotherapy remained stable. Conclusions and clinical implications: In this expansive real-world analysis of nearly 70 000 mHSPC patients, age and comorbidity burden emerged as the primary determinants of frontline therapy, alongside a clear shift towards the increased use of ADT + ARPI regimes from 2016 to 2020. Embedding these real-world insights into clinical guidelines and decision-making can enhance treatment personalisation, accelerate adoption of evidence-backed combinations, and ultimately enhance mHSPC patient outcomes. Patient summary: In this study of nearly 70 000 men with metastatic hormone-sensitive prostate cancer, doctors' treatment decisions were influenced strongly by patients' age and other health issues, highlighting a growing preference for combination therapies. The findings highlight the importance of real-world evidence, which captures diverse, often under-represented, patients to complement clinical trials and guide more inclusive, evidence-based care.

Indexed as

Androgen deprivation therapyAndrogen receptor pathway inhibitorsBig dataChemotherapyComorbiditiesMetastatic hormone-sensitive prostate cancerPIONEER+Prostate cancerReal-world dataReal-world evidenceTreatment

Identifiers

PMID41127821
PMCPMC12539270

What OpenQuestion holds

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Registered trials

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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.