ArticleCurrent oncology (Toronto, Ont.)2022
Clinical Outcomes and Prognosis Analysis of Younger Bladder Cancer Patients.
Article in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Derivation and validation of the SLNA score: a tumor size-location-number-apperance model to predict transurethral resection of bladder tumor (TURBT) complexity.Translational andrology and urology · 2026Article
- A Clinically Practical Nomogram for Predicting Survival in Elderly Patients (≥ 65 Years) With Bladder Urothelial Carcinoma: A Study Based on SEER Database and External Validation.Cancer reports (Hoboken, N.J.) · 2025Article
- Incisional Negative-Pressure Wound Therapy Versus Standard Dressing for the Prevention of Surgical Site Complications Following Radical Cystectomy.Journal of personalized medicine · 2025Article
- Article
- Fear of Cancer Recurrence and Its Associated Factors in Bladder Cancer Patients of Different Age Stages: A Cross-Sectional Study.Cancer management and research · 2025Article
- The Role of AHCY Expression in Bladder Urothelial Carcinoma: A Bioinformatics and Experimental Analysis.Cancer management and research · 2025Article
- The Added-value of StagingMolecular imaging and radionuclide therapy · 2024Article
- Competitive Risk Model for Specific Mortality Prediction in Patients with Bladder Cancer: A Population-Based Cohort Study with Machine Learning.Journal of oncology · 2022Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenerally, little is known about prognostic factors in bladder cancer patients under 40 years of age. We therefore performed a retrospective study to identify prognostic factors in these younger bladder cancer patients.
methodsWe collected clinicopathological data on bladder cancer patients ≤40 years old diagnosed between 1975 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. Survival curves were generated using the Kaplan-Meier method, and the differences between groups were analyzed using the log-rank test. Univariate and multivariate Cox hazards regression analyses were performed to define hazard ratios (HRs) for cancer-specific survival (CSS).
resultsThere were statistical differences in race, histological type, cancer stage, tumor size, and surgery treatment groups between overall survival and CSS. Only tumor size and cancer stage were significant independent prognostic risk factors in younger bladder cancer patients for the prediction of CSS.
conclusionTumors greater than 30 mm in size and a more advanced stage of bladder cancer were indicative of a poor prognosis in bladder cancer patients ≤40 years old, and long-term follow-up is suggested.
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