Literature DB >> 22882877

Prognostic value of the CAPRA clinical prediction rule: a systematic review and meta-analysis.

Pieter Meurs1, Rose Galvin, Deirdre M Fanning, Tom Fahey.   

Abstract

UNLABELLED: WHAT'S KNOWN ON THE SUBJECT? AND WHAT DOES THE STUDY ADD?: Prostate cancer is a significant cause of mortality among men. A number of prognostic instruments exist to predict the risk of recurrence among patients with localised prostate cancer. This systematic review examines the totality of evidence in relation to the predictive value of the CAPRA clinical predication rule by combining all studies that validate the rule.
OBJECTIVES: To perform a systematic review with meta-analysis that assesses the 3- and 5-year predictive value of the CAPRA rule, a clinical prediction rule derived to predict biochemical-recurrence-free survival in men with localized prostate cancer after radical prostatectomy. To examine the predictive value of the CAPRA rule at 3 and 5 years stratified by risk group (0-2 low risk, 3-5 intermediate risk, 6-10 high risk). PATIENTS AND METHODS: A systematic literature search was performed to retrieve papers that validated the CAPRA score. The original derivation study was used as a predictive model and applied to all validation studies with observed and predicted biochemical-recurrence-free survival at 3 and 5 years stratified by risk group (0-2 low, 3-5 intermediate, 6-10 high). Pooled results are presented as risk ratios (RRs) with 95% confidence intervals, in terms of over-prediction (RR > 1) or under-prediction (RR < 1) of biochemical-recurrence-free survival at 3 and 5 years. A chi-squared test for trend was computed to determine if there was a decreasing trend in survival across the three CAPRA risk categories.
RESULTS: Seven validation studies (n = 12 693) predict recurrence-free survival at 5 years after radical prostatectomy. The CAPRA score significantly under-predicts recurrence-free survival across all three risk strata (low risk, RR 0.94, 95% CI 0.90-0.98; intermediate risk, RR 0.94, 95% CI 0.89-0.99; high risk, RR 0.72, 95% CI 0.60-0.85). Data on six studies (n = 6082) are pooled to predict 3-year recurrence-free survival. The CAPRA score correctly predicts recurrence-free survival in all three groups (low risk, RR 0.98, 95% CI 0.95-1.00; intermediate risk, RR 1.03, 95% CI 0.99-1.08; high risk, RR 0.87, 95% CI 0.73-1.05). The chi-squared trend analysis indicates that, as the trichotomized CAPRA score increases, the probability of survival decreases (P < 0.001).
CONCLUSIONS: The results of this pooled analysis confirm the ability of the CAPRA rule to correctly predict biochemical-recurrence-free survival at 3 years after radical prostatectomy. The rule under-predicts recurrence-free survival 5 years after radical prostatectomy across all three strata of risk.
© 2012 BJU International.

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Year:  2012        PMID: 22882877     DOI: 10.1111/j.1464-410X.2012.11400.x

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


  11 in total

1.  Predictors of Gleason score upgrading in a large African-American population.

Authors:  Anup Vora; Tim Large; Jenny Aronica; Sherod Haynes; Andrew Harbin; Daniel Marchalik; Hanaa Nissim; John Lynch; Gaurav Bandi; Kevin McGeagh; Keith Kowalczyk; Reza Ghasemian; Krishnan Venkatesan; Mohan Verghese; Jonathan Hwang
Journal:  Int Urol Nephrol       Date:  2013-07-18       Impact factor: 2.370

2.  Preoperative endogenous testosterone density predicts disease progression from localized impalpable prostate cancer presenting with PSA levels elevated up to 10 ng/mL.

Authors:  Antonio Benito Porcaro; Alberto Bianchi; Giovanni Mazzucato; Sebastian Gallina; Emanuele Serafin; Alessandro Tafuri; Clara Cerrato; Andrea Panunzio; Stefano Vidiri; Damiano D'Aietti; Rossella Orlando; Davide Brusa; Matteo Brunelli; Salvatore Siracusano; Maria Angela Cerruto; Alessandro Antonelli
Journal:  Int Urol Nephrol       Date:  2022-10-05       Impact factor: 2.266

3.  Predictive value of the cancer of the prostate risk assessment score for recurrence-free survival after radical prostatectomy in Korea: a single-surgeon series.

Authors:  Won Ik Seo; Pil Moon Kang; Jae Il Chung
Journal:  Korean J Urol       Date:  2014-05-12

Review 4.  Biochemical recurrence after radical prostatectomy: Current status of its use as a treatment endpoint and early management strategies.

Authors:  Barrett Z McCormick; Ali M Mahmoud; Stephen B Williams; John W Davis
Journal:  Indian J Urol       Date:  2019 Jan-Mar

5.  Meta-analysis of predictive models to assess the clinical validity and utility for patient-centered medical decision making: application to the CAncer of the Prostate Risk Assessment (CAPRA).

Authors:  Marine Lorent; Haïfa Maalmi; Philippe Tessier; Stéphane Supiot; Etienne Dantan; Yohann Foucher
Journal:  BMC Med Inform Decis Mak       Date:  2019-01-07       Impact factor: 2.796

6.  A Novel Predictor Tool of Biochemical Recurrence after Radical Prostatectomy Based on a Five-MicroRNA Tissue Signature.

Authors:  Zhongwei Zhao; Sabine Weickmann; Monika Jung; Michael Lein; Ergin Kilic; Carsten Stephan; Andreas Erbersdobler; Annika Fendler; Klaus Jung
Journal:  Cancers (Basel)       Date:  2019-10-21       Impact factor: 6.639

7.  Novel approach to meta-analysis of tests and clinical prediction rules with three or more risk categories.

Authors:  Mark H Ebell; Mary E Walsh; Fiona Boland; Brian McKay; Tom Fahey
Journal:  BMJ Open       Date:  2021-02-04       Impact factor: 2.692

8.  Epigenetic loss of heterogeneity from low to high grade localized prostate tumours.

Authors:  Sebnem Ece Eksi; Alex Chitsazan; Zeynep Sayar; George V Thomas; Andrew J Fields; Ryan P Kopp; Paul T Spellman; Andrew C Adey
Journal:  Nat Commun       Date:  2021-12-15       Impact factor: 14.919

9.  Molecular network-based identification of competing endogenous RNAs and mRNA signatures that predict survival in prostate cancer.

Authors:  Ning Xu; Yu-Peng Wu; Hu-Bin Yin; Xue-Yi Xue; Xin Gou
Journal:  J Transl Med       Date:  2018-10-04       Impact factor: 5.531

10.  Circular RNAs and Their Linear Transcripts as Diagnostic and Prognostic Tissue Biomarkers in Prostate Cancer after Prostatectomy in Combination with Clinicopathological Factors.

Authors:  Hannah Rochow; Monika Jung; Sabine Weickmann; Bernhard Ralla; Carsten Stephan; Sefer Elezkurtaj; Ergin Kilic; Zhongwei Zhao; Klaus Jung; Annika Fendler; Antonia Franz
Journal:  Int J Mol Sci       Date:  2020-10-22       Impact factor: 5.923

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