Clinical Characterization of Patients Diagnosed with Prostate Cancer and Undergoing Conservative Management: a PIONEER Analysis Based on Big Data

Giorgio Gandaglia* (Corresponding Author), Francesco Pellegrino, Asieh Goloza, Bertrand De Meulder, Thomas Abbott, Ariel Achtman, Muhammad Imran Omar, Thamir Alshammari, Carlos Areia, Alex Asiimwe, Katharina Beyer, Anders Bjartell, Riccardo Campi, Philip Cornford, Thomas Falconer, Feng Qin, Mengchun Gong, Ronald Herrera, Nigel Hughes, Tim HulsenAdam Kinnaird, Lana YH Lai, Gianluca Maresca, Nicolas Mottet, Marek Oja, Peter Prinsen, Christian Reich, Sebastiaan Remmers, Monique J Roobol, Vasileios I. Sakalis, Sarah Seage, Emma Jane Smith, Robert Snijde, Carl Steinbeisser, Nicolas H. Thurin, Ayman Hijazy, Kees van Bochove, Roderick C.N. van den Bergh, Mieke Van Hemelrijck, Peter-Paul M. Willemse, Mark Andrew Williamson, Nazanin Zounemat Kerman, Susan Evans-Axelson, Alberto Briganti, James N'Dow, PIONEER Consortium

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Background: Conservative management is an option for prostate cancer (PCa) patients either with the objective of delaying or even avoiding curative therapy or to wait until palliative treatment is needed. PIONEER, funded by the European Commission Innovative Medicines Initiative, aims at improving PCa care across Europe through the application of big data analytics.
Objective: to describe the clinical characteristics and long-term outcomes of PCa patients on conservative management by using an international large network of real-world data. Design, setting, and participants: From an initial cohort of more than 100,000,000 adult subjects included in 8 databases evaluated during a virtual study-a-thon hosted by PIONEER we identified newly diagnosed PCa cases (n=527,311). Among those, we selected patients who did not receive curative or palliative treatment within six months from diagnosis (n=123,146).
Outcome Measurements and Statistical Analysis: Patient and disease characteristics were reported. The number of patients who experienced main study outcomes was quantified for each stratum and the overall cohort. Kaplan-Meier analyses were used to estimate the distribution of time to event data.
Results and limitations: The most common comorbidities were hypertension (35-73%), obesity (9.2-54%) and type 2 diabetes (11-28%). The rate of PCa-related symptomatic progression ranged between 2.6-6.2%. Hospitalization (12-25%) and emergency department visits (10-14%) were common events during first year of follow-up. The probability of being free from both palliative and curative treatments decreased during follow-up. Limitations include a lake of information on patients and disease characteristics and on treatment intent.
Conclusions: Our results allow us to better understand the current landscape of patients with PCa managed with conservative treatment. PIONEER offers a unique opportunity to characterize the baseline features and outcomes of PCa patients conservatively managed using real world data.
Patient summary: Up to 25% of men with PCa managed conservatively experienced hospitalization and ED visits within the first year after diagnosis, 6% experienced PCa-related symptoms. The probability of receiving therapies for PCa decreased according to time elapsed after the diagnosis.
Take home message: Up to 25% of PCa patients managed conservatively experienced hospitalization and ED visits within 12 months after diagnosis, 6% experienced PCa-related symptomatic progression. Probabilities of receiving therapies for PCa decreased according to the time elapsed after the diagnosis.
Original languageEnglish
Pages (from-to)457-465
Number of pages9
JournalEuropean Urology
Volume85
Issue number5
Early online date5 Jul 2023
DOIs
Publication statusE-pub ahead of print - 5 Jul 2023

Bibliographical note

Funding statement
PIONEER is funded through the IMI2 Joint Undertaking and is listed under grant agreement No. 777492. This joint undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and European Federation of Pharmaceutical Industries and Associations EFPIA. The European Health Data & Evidence Network has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement no. 806968. The Joint Undertaking is supported by the European Union’s Horizon 2020 research and innovation programme and EFPIA, a large association which represents the biopharmaceutical industry in Europe. The views communicated within are those of PIONEER. Neither the IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein

Data Availability Statement

In the interest of transparency and scientific reproducibility, all study materials including the computer‐executable code (which is compatible with any data set in the OMOP common data model) have been made available. Code: https://github.com/ohdsi-studies/PioneerWatchfulWaiting
Analysis apps: https://pioneer-shiny.hzdr.de/PioneerWatchfulWaiting_restricted/
The protocol is available on https://protocolexchange.researchsquare.com/article/pex-1468/v1

Keywords

  • Prostate cancer
  • Conservative management
  • Survival
  • Outcomes
  • Big Data
  • PIONEER

Fingerprint

Dive into the research topics of 'Clinical Characterization of Patients Diagnosed with Prostate Cancer and Undergoing Conservative Management: a PIONEER Analysis Based on Big Data'. Together they form a unique fingerprint.

Cite this