alexa Constructing prognostic model incorporating the 2004 WHO ISUP classification for patients with non-muscle-invasive urothelial tumours of the urinary bladder


Medical & Surgical Urology

Author(s): ChinChen Pan, YenHwa Chang

Abstract Share this page

AIM: To construct a prognostic model for recurrence-free survival (RFS), progression-free survival (PFS) and cancer-specific survival (CSS) for patients who have undergone transurethral resection of non-muscle-invasive (pTa/pT1) urinary bladder urothelial tumours. METHODS: 1366 patients who had undergone transurethral resection of primary non-muscle-invasive urothelial tumours (pTa, 891 patients; pT1, 475 patients) confined to the bladder were retrospectively studied. Tumours were classified according to the 2004 WHO/International Society of Urologic Pathology grading system. Kaplan-Meier and stepwise Cox regression models were applied, and 200 bootstrap resamples were used to generate survival estimates and 95% CIs. A nomogram was developed that incorporated significant variables predicting survival. RESULTS: RFS, PFS and CSS probabilities for non-muscle-invasive bladder urothelial tumours were calculated. Incorporating salient prognostic factors (tumour grade, pT stage, patient age, status of intravesical instillation), the model satisfactorily predicted PFS (concordance index=0.79) and CSS (concordance index=0.87). CONCLUSIONS: Robust nomograms were created to predict PFS and CSS. These data provide an overall perspective of disease outcomes which may aid in developing individualised follow-up programmes.

This article was published in J Clin Pathol and referenced in Medical & Surgical Urology

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

Relevant Topics

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version