Epidemiological description and trajectories of patients with prostate cancer in Denmark: an observational study of 7448 patients.

Journal: BMC research notes
PMID: 37974202

Abstract

OBJECTIVE: Identification of patients at high risk of aggressive prostate cancer is a major clinical challenge. With the view of developing artificial intelligence-based methods for identification of these patients, we are constructing a comprehensive clinical database including 7448 prostate cancer (PCa) Danish patients. In this paper we provide an epidemiological description and patients' trajectories of this retrospective observational population, to contribute to the understanding of the characteristics and pathways of PCa patients in Denmark.

Authors

  • Victoria Blanes-Vidal
    a The Maersk Mc-Kinney Møller Institute, University of Southern Denmark , Odense , Denmark.
  • Ashkan Tashk
    Applied AI and Data Science Unit, The Maersk Mc-Kinney Møller Institute, University of Southern Denmark, Campusvej 55, 5230, Odense, Denmark.
  • Manuella Lech Cantuaria
    Applied AI and Data Science Unit, The Maersk Mc-Kinney Møller Institute, University of Southern Denmark, Campusvej 55, 5230, Odense, Denmark.
  • Rasmus Søgaard Hansen
    Clinical Biochemistry Unit, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
  • Charlotte A Poulsen
    Department of Urology, Odense University Hospital, Odense, Denmark.
  • Mads H Poulsen
    Department of Urology, Odense University Hospital, Odense, Denmark.
  • Marie-Louise Krogh
    Blue-Cell Therapeutics, Ole Maaloes Vej 3, Copenhagen, Denmark.
  • Søren P Sheikh
    Blue-Cell Therapeutics, Ole Maaloes Vej 3, Copenhagen, Denmark.
  • Esmaeil S Nadimi
    a The Maersk Mc-Kinney Møller Institute, University of Southern Denmark , Odense , Denmark.

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