PMID: 16638320Apr 28, 2006Paper

Survival prediction for terminal gynecologic cancer patients

Zhonghua yi xue za zhi
Xiao-guang SunKeng Shen

Abstract

To construct a scoring system of predicting the survival time of terminal gynecologic cancer patients. The clinical data of 91 patients with terminal gynecologic cancers, aged 56 (13-83), who were not suitable to specific anti-cancer therapy and died in the hospital with a mean survival time of 27 days (1-240 days) were analyzed retrospectively. Initially univariate analysis was performed to evaluate the relationship between 19 clinico-biochemical indices and survival time. Multiple logistic regression was used to analyze 9 out of the 19 clinico-biochemical indices which had significant effects on the survival time, and a regression model with 5 indices was constructed by backward selection procedure. The regression coefficient of any category was divided by the maximum regression coefficient so as to get the score of this category. The cores were added together so as to get the overall score of an individual patient. Univariate analysis identified 9 factors independently and significantly influencing the survival time: short breath, Karnofsky performance status (KPS), age, high fever, speed of tumor growth, presence or absence of treatment-related complication, blood urea nitrogen (BUN), creatinine, and platelet. A regression ...Continue Reading

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