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Scoring system for prediction of overall survival in patients with renal cell carcinoma T3aN0M0. | LitMetric

AI Article Synopsis

  • The study aims to develop a new scoring system to predict overall survival in patients with nonmetastatic T3aN0 renal cell carcinoma who have undergone radical nephrectomy.
  • Researchers analyzed clinical data from 362 patients, identifying key factors influencing survival, such as weight loss and kidney disease, using various statistical methods.
  • The resulting nomogram effectively predicts overall survival, highlighting the importance of monitoring patients with unfavorable characteristics during follow-up.

Article Abstract

Objective: We aim to create a new score to predict postoperative overall survival in patients with nonmetastatic T3aN0 renal cell carcinoma.

Methods: We reviewed the clinical data of adult patients who underwent radical nephrectomy for renal cell carcinoma between December 2007 and January 2022 in a single tertiary oncological institution. Clinical characteristics, clinical-pathological staging and histopathological characteristics were analysed. Survival analyses were determined using the Kaplan-Meier curve. A nomogram was established using Cox proportional hazard regression to identify the prognostic factors affecting the overall survival. The area under the curve, calibration curves and decision curve analysis were used to evaluate prognostic efficacy.

Results: We analyzed 362 patients classified as pT3aN0M0 stage with a median follow-up of 40 months. According to Cox univariate and multivariate analyses, weight loss greater than 5% in 6 months before surgery, stage V chronic kidney disease after radical nephrectomy, sarcomatoid pattern, and coagulative tumor necrosis were identified as predictors of overall survival. We developed a score and performed internal and external validation. The time-dependent receiver operating characteristic curve, area under the curve value and calibration curve analysis showed good prediction ability of the score. The nomogram can effectively predict and stratify overall survival after radical nephrectomy in patients with pT3aN0M0 renal cell carcinoma.

Conclusion: Patients with pT3aN0MO renal cell carcinoma exhibited different characteristics, and those with unfavourable characteristics deserve greater attention during follow-up. This nomogram provides an accurate prediction of overall survival after radical nephrectomy.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10869657PMC
http://dx.doi.org/10.1002/bco2.309DOI Listing

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