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Utilisation and impact of predict prostate on decision-making among clinicians and patients in a specialist tertiary referral centre: A retrospective cohort study.
Pandiaraja, Madhumitha; Pryle, Isolde; West, Leah; Gardner, Lucy; Shallcross, Olivia; Tay, June; Shah, Nimish; Gnanapragasam, Vincent; Lamb, Benjamin W.
Afiliação
  • Pandiaraja M; School of Clinical Medicine University of Cambridge Cambridge UK.
  • Pryle I; School of Clinical Medicine University of Cambridge Cambridge UK.
  • West L; School of Clinical Medicine University of Cambridge Cambridge UK.
  • Gardner L; School of Clinical Medicine University of Cambridge Cambridge UK.
  • Shallcross O; Department of Urology Cambridge University Hospitals NHS Foundation Trust Cambridge UK.
  • Tay J; Department of Urology Cambridge University Hospitals NHS Foundation Trust Cambridge UK.
  • Shah N; Department of Urology Cambridge University Hospitals NHS Foundation Trust Cambridge UK.
  • Gnanapragasam V; Department of Urology Cambridge University Hospitals NHS Foundation Trust Cambridge UK.
  • Lamb BW; Academic Urology Group University of Cambridge Cambridge UK.
BJUI Compass ; 5(4): 489-496, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38633830
ABSTRACT

Background:

Patients with intermediate-risk prostate cancer are faced with the decision of whether to undergo radical treatment. Decision-making aids, such as Predict Prostate, can empower both clinicians and patients to make treatment decisions with personalised information, but their impact on multi-disciplinary team (MDT) decision-making and uptake of radical treatment remains unknown.

Objective:

The objective of this study is to assess the utilisation and utility of Predict Prostate in informing treatment decisions for patients with intermediate-risk prostate cancer. Patients and

Methods:

A retrospective cohort study was conducted in Cambridge University Hospitals (CUH) of patients referred to the prostate cancer specialist multi-disciplinary team (pcSMDT) and robotic prostatectomy clinic (ROPD) between September 2019 and August 2021 for consideration of radical prostatectomy (RARP). Data on patient characteristics, use of PredictProstate and management decisions were collected from the Epic electronic medical record (EMR) of 839 patients, of whom 386 had intermediate-risk prostate cancer.

Results:

The use of Predict Prostate at the pcSMDT increased in the second half of the study period (34.5% vs. 23.8%, p < 0.001). The use of Predict Prostate was associated with an increased likelihood of attending ROPD for men with CPG2 prostate cancer (OR = 2.155, 95% CI = 1.158-4.013, p = 0.015) but a reduced likelihood of proceeding with RARP for men with CPG2 (OR = 0.397, 95% CI = 0.209-0.753, p = 0.005) and CPG3 (OR = 0.305, 95% CI = 0.108-0.861, p = 0.025) prostate cancer.

Conclusion:

Our study showed that the use of Predict Prostate for patients with intermediate-risk prostate cancer is associated with increased attendance at specialist surgical clinic and a reduced chance of undergoing radical prostate surgery.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article