Literature DB >> 26332503

Prostate cancer risk prediction using the novel versions of the European Randomised Study for Screening of Prostate Cancer (ERSPC) and Prostate Cancer Prevention Trial (PCPT) risk calculators: independent validation and comparison in a contemporary European cohort.

Cédric Poyet1, Daan Nieboer2, Bimal Bhindi3, Girish S Kulkarni3, Caroline Wiederkehr1, Marian S Wettstein1, Remo Largo1, Peter Wild4, Tullio Sulser1, Thomas Hermanns1.   

Abstract

OBJECTIVES: To externally validate and compare the two novel versions of the European Randomised Study for Screening of Prostate Cancer (ERSPC)-prostate cancer risk calculator (RC) and Prostate Cancer Prevention Trial (PCPT)-RC. PATIENTS AND METHODS: All men who underwent a transrectal prostate biopsy in a European tertiary care centre between 2004 and 2012 were retrospectively identified. The probability of detecting prostate cancer and significant cancer (Gleason score ≥7) was calculated for each man using the novel versions of the ERSPC-RC (DRE-based version 3/4) and the PCPT-RC (version 2.0) and compared with biopsy results. Calibration and discrimination were assessed using the calibration slope method and the area under the receiver operating characteristic curve (AUC), respectively. Additionally, decision curve analyses were performed.
RESULTS: Of 1 996 men, 483 (24%) were diagnosed with prostate cancer and 226 (11%) with significant prostate cancer. Calibration of the two RCs was comparable, although the PCPT-RC was slightly superior in the higher risk prediction range for any and significant prostate cancer. Discrimination of the ERSPC- and PCPT-RC was comparable for any prostate cancer (AUCs 0.65 vs 0.66), while the ERSPC-RC was somewhat better for significant prostate cancer (AUCs 0.73 vs 0.70). Decision curve analyses revealed a comparable net benefit for any prostate cancer and a slightly greater net benefit for significant prostate cancer using the ERSPC-RC.
CONCLUSIONS: In our independent external validation, both updated RCs showed less optimistic performance compared with their original reports, particularly for the prediction of any prostate cancer. Risk prediction of significant prostate cancer, which is important to avoid unnecessary biopsies and reduce over-diagnosis and overtreatment, was better for both RCs and slightly superior using the ERSPC-RC.
© 2015 The Authors BJU International © 2015 BJU International Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  biopsy; decision aids; nomograms; prostate cancer; prostate-specific antigen

Mesh:

Substances:

Year:  2015        PMID: 26332503     DOI: 10.1111/bju.13314

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  26 in total

1.  Incorporation of Urinary Prostate Cancer Antigen 3 and TMPRSS2:ERG into Prostate Cancer Prevention Trial Risk Calculator.

Authors:  Donna P Ankerst; Martin Goros; Scott A Tomlins; Dattatraya Patil; Ziding Feng; John T Wei; Martin G Sanda; Jonathan Gelfond; Ian M Thompson; Robin J Leach; Michael A Liss
Journal:  Eur Urol Focus       Date:  2018-02-13

Review 2.  What's new in screening in 2015?

Authors:  Sigrid V Carlsson; Monique J Roobol
Journal:  Curr Opin Urol       Date:  2016-09       Impact factor: 2.309

3.  Recommandations de l'Association des urologues du Canada sur le dépistage et le diagnostic précoce du cancer de la prostate.

Authors:  Ricardo A Rendon; Ross J Mason; Karim Marzouk; Antonio Finelli; Fred Saad; Alan So; Phillipe Violette; Rodney H Breau
Journal:  Can Urol Assoc J       Date:  2017-10       Impact factor: 1.862

4.  Variations in prostate biopsy recommendation and acceptance confound evaluation of risk factors for prostate cancer: Examining race and BMI.

Authors:  Catherine M Tangen; Jeannette Schenk; Cathee Till; Phyllis J Goodman; Wendy Barrington; M Scott Lucia; Ian M Thompson
Journal:  Cancer Epidemiol       Date:  2019-10-19       Impact factor: 2.984

5.  Comparative effectiveness of prostate cancer screening between the ages of 55 and 69 years followed by active surveillance.

Authors:  Tiago M de Carvalho; Eveline A M Heijnsdijk; Harry J de Koning
Journal:  Cancer       Date:  2017-12-12       Impact factor: 6.860

6.  The nomogram conundrum: a demonstration of why a prostate cancer risk model in Turkish men underestimates prostate cancer risk in the USA.

Authors:  Onder Kara; Ahmed Elshafei; Yaw A Nyame; Bulent Akdogan; Ercan Malkoc; Tianming Gao; Mesut Altan; Burak Citamak; Emin Mammadov; Furkan Dursun; Daniel J Greene; Temucin Senkul; Ferhat Ates; Haluk Ozen; J Stephen Jones
Journal:  Int Urol Nephrol       Date:  2016-05-28       Impact factor: 2.370

7.  The prostate cancer prevention trial risk calculator 2.0 performs equally for standard biopsy and MRI/US fusion-guided biopsy.

Authors:  M Maruf; M Fascelli; A K George; M M Siddiqui; M Kongnyuy; J M DiBianco; A Muthigi; S Valayil; A Sidana; T P Frye; A Kilchevsky; P L Choyke; B Turkbey; B J Wood; P A Pinto
Journal:  Prostate Cancer Prostatic Dis       Date:  2017-02-21       Impact factor: 5.554

8.  UPDATE - 2022 Canadian Urological Association recommendations on prostate cancer screening and early diagnosis Endorsement of the 2021 Cancer Care Ontario guidelines on prostate multiparametric magnetic resonance imaging.

Authors:  Ross J Mason; Karim Marzouk; Antonio Finelli; Fred Saad; Alan I So; Philippe D Violette; Rodney H Breau; Ricardo A Rendon
Journal:  Can Urol Assoc J       Date:  2022-04       Impact factor: 2.052

9.  External Evaluation of a Novel Prostate Cancer Risk Calculator (ProstateCheck) Based on Data from the Swiss Arm of the ERSPC.

Authors:  Cédric Poyet; Marian S Wettstein; Dara J Lundon; Bimal Bhindi; Girish S Kulkarni; Karim Saba; Tullio Sulser; A J Vickers; Thomas Hermanns
Journal:  J Urol       Date:  2016-05-14       Impact factor: 7.450

10.  A risk prediction model for the development of subsequent primary melanoma in a population-based cohort.

Authors:  A E Cust; C Badcock; J Smith; N E Thomas; L E Haydu; B K Armstrong; M H Law; J F Thompson; P A Kanetsky; C B Begg; Y Shi; A Kricker; I Orlow; A Sharma; S Yoo; S F Leong; M Berwick; D W Ollila; S Lo
Journal:  Br J Dermatol       Date:  2019-11-27       Impact factor: 9.302

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