Literature DB >> 27840252

European Randomized Study of Screening for Prostate Cancer Risk Calculator: External Validation, Variability, and Clinical Significance.

Enrique Gómez-Gómez1, Julia Carrasco-Valiente2, Ana Blanca-Pedregosa3, Beatriz Barco-Sánchez2, Jose Luis Fernandez-Rueda4, Helena Molina-Abril4, Jose Valero-Rosa2, Pilar Font-Ugalde5, Maria José Requena-Tapia2.   

Abstract

OBJECTIVE: To externally validate the European Randomized Study of Screening for Prostate Cancer (ERSPC) risk calculator (RC) and to evaluate its variability between 2 consecutive prostate-specific antigen (PSA) values.
MATERIALS AND METHODS: We prospectively catalogued 1021 consecutive patients before prostate biopsy for suspicion of prostate cancer (PCa). The risk of PCa and significant PCa (Gleason score ≥7) from 749 patients was calculated according to ERSPC-RC (digital rectal examination-based version 3 of 4) for 2 consecutive PSA tests per patient. The calculators' predictions were analyzed using calibration plots and the area under the receiver operating characteristic curve (area under the curve). Cohen kappa coefficient was used to compare the ability and variability.
RESULTS: Of 749 patients, PCa was detected in 251 (33.5%) and significant PCa was detected in 133 (17.8%). Calibration plots showed an acceptable parallelism and similar discrimination ability for both PSA levels with an area under the curve of 0.69 for PCa and 0.74 for significant PCa. The ERSPC showed 226 (30.2%) unnecessary biopsies with the loss of 10 significant PCa. The variability of the RC was 16% for PCa and 20% for significant PCa, and a higher variability was associated with a reduced risk of significant PCa.
CONCLUSION: We can conclude that the performance of the ERSPC-RC in the present cohort shows a high similitude between the 2 PSA levels; however, the RC variability value is associated with a decreased risk of significant PCa. The use of the ERSPC in our cohort detects a high number of unnecessary biopsies. Thus, the incorporation of ERSPC-RC could help the clinical decision to carry out a prostate biopsy.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27840252     DOI: 10.1016/j.urology.2016.11.004

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  6 in total

Review 1.  NMR-based metabolomics studies of human prostate cancer tissue.

Authors:  Ana Rita Lima; Joana Pinto; Maria de Lourdes Bastos; Márcia Carvalho; Paula Guedes de Pinho
Journal:  Metabolomics       Date:  2018-06-18       Impact factor: 4.290

2.  External Validation of the Prostate Biopsy Collaborative Group Risk Calculator and the Rotterdam Prostate Cancer Risk Calculator in a Swedish Population-based Screening Cohort.

Authors:  Jan Chandra Engel; Thorgerdur Palsdottir; Donna Ankerst; Sebastiaan Remmers; Ashkan Mortezavi; Venkatesh Chellappa; Lars Egevad; Henrik Grönberg; Martin Eklund; Tobias Nordström
Journal:  Eur Urol Open Sci       Date:  2022-05-19

3.  Evaluation of RETICs Glaucoma Diagnostic Calculators in Preperimetric Glaucoma.

Authors:  Javier Moreno-Montañés; Ana García-Nieva; Indira Aristeguieta Osio; Adriano Guarnieri; Antonio Morilla-Grasa; Marta García-Granero; Alfonso Antón
Journal:  Transl Vis Sci Technol       Date:  2018-11-30       Impact factor: 3.283

4.  CE-MS-based urinary biomarkers to distinguish non-significant from significant prostate cancer.

Authors:  Maria Frantzi; Enrique Gomez Gomez; Ana Blanca Pedregosa; José Valero Rosa; Agnieszka Latosinska; Zoran Culig; Axel S Merseburger; Raul M Luque; María José Requena Tapia; Harald Mischak; Julia Carrasco Valiente
Journal:  Br J Cancer       Date:  2019-05-16       Impact factor: 7.640

5.  Observational study comparing the accuracy/variability between the ERSPC and the PCPT risk calculators for the prediction of significant prostate cancer in patients with PSA <10 ng/mL.

Authors:  Enrique Gomez Gomez; Juan José Salamanca Bustos; Julia Carrasco Valiente; Jose Luis Fernandez Rueda; Ana Blanca; José Valero Rosa; Ines Bravo Arrebola; Javier Marquez López; Juan Manuel Jimenez Vacas; Raul Luque; Maria José Requena Tapia
Journal:  BMJ Open       Date:  2019-11-12       Impact factor: 2.692

6.  Validation of diagnostic nomograms based on CE-MS urinary biomarkers to detect clinically significant prostate cancer.

Authors:  Maria Frantzi; Isabel Heidegger; Marie C Roesch; Enrique Gomez-Gomez; Eberhard Steiner; Antonia Vlahou; William Mullen; Ipek Guler; Axel S Merseburger; Harald Mischak; Zoran Culig
Journal:  World J Urol       Date:  2022-07-16       Impact factor: 3.661

  6 in total

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