ReviewTranslational andrology and urology2019
Prediction tools in non-muscle invasive bladder cancer.
Review in Translational andrology and urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Interpretable machine learning model of contrast-enhanced CT radiomics for predicting post-BCG recurrence in high-grade non-muscle-invasive bladder cancer.World journal of urology · 2026Article
- Machine learning prediction of postoperative recurrence in bladder cancer using clinical and laboratory indicators.Scientific reports · 2026Article
- Concomitant decrease of E- and A-FABP expression predicts worse survival in urothelial bladder cancer patients.Scientific reports · 2024Article
- Utility of a Molecular Signature for Predicting Recurrence and Progression in Non-Muscle-Invasive Bladder Cancer Patients: Comparison with the EORTC, CUETO and 2021 EAU Risk Groups.International journal of molecular sciences · 2022Article
- Predicting Recurrence of Non-Muscle-Invasive Bladder Cancer: Current Techniques and Future Trends.Cancers · 2022Review
- External validation of European Association of Urology NMIBC risk scores to predict progression after transurethral resection of bladder tumor in Korean patients with non-muscle-invasive bladder cancer.Investigative and clinical urology · 2022Article
- A Retrospective Analysis of Clinical and Pathologic Characteristics of Recurrent Bladder Tumor in a Tertiary Hospital in Addis Ababa, Ethiopia.Ethiopian journal of health sciences · 2021Article
- Article
- Traditional Classification and Novel Subtyping Systems for Bladder Cancer.Frontiers in oncology · 2020Review
- Detection of Novel Urine Markers Using Immune Complexome Analysis in Bladder Cancer Patients: A Preliminary Study.In vivo (Athens, Greece)Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-muscle invasive bladder cancer (BCa) is the second most common genitourinary malignancy, burdened by high rates of recurrence and progression. Urologist are encouraged to stratify patients on the bases of recurrence and progression risks in order to define the best therapeutic approach and follow-up scheme. For these reasons, the aim of the present non-systematic review was to assess the literature on prediction tools in non-muscle invasive BCa. Currently, the most widely used tools remain the European Organization for Research and Treatment of Cancer (EORTC) and the Club Urologico Espanol de Tratamiento Oncologico (CUETO) risk tables, which are based on clinicopathologic features. Recent external validations, therefore, reported their low accuracy, probably related to the lack of the role of re-transurethral resection (TURBT), early instillations, chemotherapy and complete BCG schedules in the studies included to asses these scores. More recently several immunological, biochemical and genetics biomarkers have been tested by themselves and in combination with clinicopathologic features, and many of them resulted related with risk of recurrence and progression. Future perspectives will presumably include the update of EORTC and CUETO scores with newest guidelines' recommendations and their integration with biomarkers.
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