[Multivariate analysis of prognostic factors in renal cell carcinoma]

Zhonghua Wai Ke Za Zhi. 2000 Jun;38(6):442-4.
[Article in Chinese]

Abstract

Objective: To assess the effect of prognostic factors on renal cell carcinoma (RCC).

Methods: 316 cases of RCC were reviewed retrospectively. Their survival rates were calculated by Kaplan-Meier method and statistical differences were determined by Log-rank test. Significant prognostic factors were evaluated by Cox's multivariate proportional hazard model.

Results: After 40.3 +/- 18.5 month follow-up, the overall 5-year survival rate was 62.3%. By multivariate analysis, nine factors were included in Cox's multivariate proportional hazard model. M was the most important prognostic factor in RCC (P = 0.0013), and the others in turn were T (P = 0.0182), age (P = 0.0347), performance status (P = 0.0423), N (P = 0.0471), lymphadenectomy (P = 0.0542), grade (P = 0.0775), serum albumin (P = 0.1536), and serum creatinine (P = 0.4543).

Conclusions: The significant prognostic factors in RCC were T, N, and M. Age and performance status showed the effect on prognosis of RCC. Lymph-node dissection also revealed a meaningful effect on relative lower stage of RCC.

Publication types

  • English Abstract

MeSH terms

  • Adult
  • Aged
  • Carcinoma, Renal Cell / mortality*
  • Carcinoma, Renal Cell / secondary
  • Female
  • Humans
  • Kidney Neoplasms / mortality*
  • Kidney Neoplasms / pathology
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Neoplasm Metastasis
  • Neoplasm Staging
  • Prognosis
  • Proportional Hazards Models
  • Retrospective Studies
  • Survival Rate