AI Summary & Key Takeaways
AI InsightConclusion: Although tumor size is an important prognostic factor for T2b and lower stage kidney tumors, this effect is less in larger tumors and other clinicopathological features should be considered further to predict prognosis.
📌 3 Key Takeaways
Özet
Objective: The aim of this study was to evaluate the relationship between prognostic factors and cancer-specific survival (CSS) in renal tumors larger than ten centimeters. Materials and Methods: We evaluated the data of 126 patients who underwent open radical nephrectomy due to a renal mass larger than 10 cm between January 2010 and June 2016. Kaplan-Meier analysis or Cox regression was used to analyze the relationship between CSS and variables. Pairwise group comparisons were also evaluated with the Log-Rank test. A p-value <0.05 was considered statistically significant. Results: Mean follow-up was 68.5 months and mean survival was 39.2 months. The relationships between tumor histopathology, stage and CSS were significant. Tumor size negatively affected CSS, but the relationship was not significant. Tumor stage (T2b, T3b), tumor thrombus, lymph node metastasis and adjuvant therapy were the most effective independent factors affecting CSS according to Cox regression analysis results. Conclusion: Although tumor size is an important prognostic factor for T2b and lower stage kidney tumors, this effect is less in larger tumors and other clinicopathological features should be considered further to predict prognosis.