A Nomogram to Predict Cancer-Specific Survival of Transitional Cell Carcinoma of Ureter After Surgery
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View abstract on PubMed
Summary
This summary is machine-generated.Ureteral cancer survival rates after surgery are suboptimal. Key factors influencing cancer-specific survival (CSS) include patient age and tumor stage, informing better treatment strategies.
Area Of Science
- Urology
- Oncology
- Cancer Research
Background
- Limited research exists on ureteral cancer survival rates.
- Understanding prognostic factors is crucial for improving patient outcomes.
Purpose Of The Study
- Investigate post-surgery cancer-specific survival (CSS) rates in ureteral cancer patients.
- Identify significant prognostic factors influencing CSS.
- Develop a predictive nomogram for CSS.
Main Methods
- Retrospective analysis of 2277 ureteral cancer patients (2010-2017) from the SEER database.
- Kaplan-Meier method for calculating CSS rates.
- Univariate and multivariate Cox regression analyses to identify prognostic indicators.
Main Results
- 1-, 3-, and 5-year CSS rates were 88.2%, 68.1%, and 60.3%, respectively.
- Significant prognostic factors for CSS included age, tumor stage, nodal status, and radiotherapy.
- A nomogram for predicting post-surgical CSS was developed.
Conclusions
- Ureteral cancer survival outcomes remain unsatisfactory.
- Age and tumor stage are critical prognostic factors impacting CSS.
- Identifying these factors aids in optimizing treatment and patient management.
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