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使用Cox比例风险回归模型得出肝硬化的预后评分。

Prognostic score in liver cirrhosis developed using the Cox's proportional hazard regression model.

作者信息

Casaril M, Micciolo R, Gabrielli G B, Bellisola G, Corrocher R

出版信息

Ric Clin Lab. 1987 Jan-Mar;17(1):67-76. doi: 10.1007/BF02909391.

Abstract

In order to assess the prognostic value of clinical and laboratory variables in liver cirrhosis, 36 of these variables were statistically analyzed in 151 patients followed up for 8 years. The 'survival time' was taken as the reference variable. In a first step we analyzed by log-rank test and by Cox's proportional hazard regression model the data of 98 patients (study group), obtaining 7 prognostically significant variables (age, leukocytes, calcium, potassium, globulins, cholesterol and previous diagnosis). From the regression coefficients of these variables, a risk score was obtained for each patient. To validate the prognostic value of this score, we computed it, using the same coefficients obtained in the study group, in 53 subsequently examined patients (control group) showing that the prognostic score allows the classification of these patients in 3 risk classes with different observed survival times.

摘要

为了评估临床和实验室变量在肝硬化中的预后价值,对151例随访8年的患者的36项此类变量进行了统计分析。将“生存时间”作为参考变量。第一步,我们通过对数秩检验和Cox比例风险回归模型分析了98例患者(研究组)的数据,获得了7个具有预后意义的变量(年龄、白细胞、钙、钾、球蛋白、胆固醇和既往诊断)。根据这些变量的回归系数,为每位患者获得一个风险评分。为了验证该评分的预后价值,我们使用在研究组中获得的相同系数,对53例随后接受检查的患者(对照组)进行了计算,结果表明该预后评分能够将这些患者分为3个具有不同观察生存时间的风险类别。

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