Clinical characterization and prognostic modeling of bladder cancer patients with a history of prior tumors: a SEER database analysis
Patients with a history of tumors exhibited lower survival rates and distinct clinical characteristics. The developed nomogram accurately predicts overall mortality and 3- and 5-year survival rates, offering potential for personalized prognostic assessments in clinical practice. Future research should validate the model's generalizability and include additional biological factors to enhance its predictive power.
Authors
- Bing Zheng (ORCID: https://orcid.org/0000-0002-6098-7092)
- Rongtuan Luo
- Tengfei Li (ORCID: https://orcid.org/0000-0002-5026-1773)
- Bin Wang (ORCID: https://orcid.org/0009-0008-9708-5261)
- Zhengli Liu (ORCID: https://orcid.org/0009-0009-5848-0282)
- Haojie Zhang (ORCID: https://orcid.org/0009-0000-1100-8663)
Institutions
- Kaifeng University (CN)
- Kaifeng City Children's Hospital (CN)
Publication Details
- Journal
- Translational Cancer Research
- Published
- 2025-02-01
- DOI
- https://doi.org/10.21037/tcr-24-1530
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36