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胃癌预后因素的Cox比例风险模型与逻辑回归比较。

A comparison between Cox proportional hazard models and logistic regression on prognostic factors in gastric cancer.

作者信息

Moghimi-Dehkordi B, Safaee A, Tabei S Z

机构信息

Research Center for Gastroenterology and Liver Diseases, Shaheed Beheshti University (M.C), Tehran, Iran.

出版信息

East Afr J Public Health. 2009 Apr;6 Suppl(1):20-2. doi: 10.4314/eajph.v6i3.45766.

DOI:10.4314/eajph.v6i3.45766
PMID:20084981
Abstract

BACKGROUND

Despite its decreasing prevalence in industrialized nations, gastric cancer remains one of the most frequent cancers in the world. Since stomach cancer often was not detected until an advanced state, survival rate was rather low.

AIM

The aim of the present study is to compare the Cox proportional hazard model and Logistic regression model to estimate prognostic of patients with gastric cancer.

MATERIAL AND METHODS

To determine the independent prognostic factors reducing survival time for gastric cancer, we compared the parametric methods (logistic regression) and non-parametric methods (Cox proportional hazard models) applied to patients who registered in one cancer registry center located in southern Iran.

RESULTS

Of 442, 266 (60.2 %) died. In multivariate analyses using the Cox proportional hazard model, Age at diagnosis (P = 0.018, Hazard rate = 1.84), grade of tumor (P = 0.018, Hazard rate = 1.56), and metastasis (P = 0.004, Hazard rate = 1.53) were the most independent prognostic factors. As well as, using the stepwise logistic regression model, Age at diagnosis, (P = 0.005, Odds Ratio = 1.01), grade of tumor (P = 0.025, OR = 1.95), and metastasis (P < 0.001, OR = 2.81) were also the most independent factors who affected on survival.

CONCLUSION

Although regression coefficients are not all the same, these three factors are the most prognostic factors that affect on survival of gastric patients in both multivariate analyses.

摘要

背景

尽管胃癌在工业化国家的发病率呈下降趋势,但它仍是全球最常见的癌症之一。由于胃癌往往在晚期才被发现,其生存率相当低。

目的

本研究旨在比较Cox比例风险模型和逻辑回归模型,以评估胃癌患者的预后。

材料与方法

为了确定影响胃癌患者生存时间的独立预后因素,我们比较了应用于伊朗南部一家癌症登记中心登记患者的参数方法(逻辑回归)和非参数方法(Cox比例风险模型)。

结果

442例患者中,266例(60.2%)死亡。在使用Cox比例风险模型的多变量分析中,诊断时年龄(P = 0.018,风险率 = 1.84)、肿瘤分级(P = 0.018,风险率 = 1.56)和转移情况(P = 0.004,风险率 = 1.53)是最主要的独立预后因素。同样,在逐步逻辑回归模型中,诊断时年龄(P = 0.005,比值比 = 1.01)、肿瘤分级(P = 0.025,比值比 = 1.95)和转移情况(P < 0.001,比值比 = 2.81)也是影响生存的最主要独立因素。

结论

尽管回归系数不尽相同,但在这两种多变量分析中,这三个因素都是影响胃癌患者生存的最重要预后因素。

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A comparison between Cox proportional hazard models and logistic regression on prognostic factors in gastric cancer.胃癌预后因素的Cox比例风险模型与逻辑回归比较。
East Afr J Public Health. 2009 Apr;6 Suppl(1):20-2. doi: 10.4314/eajph.v6i3.45766.
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Prognostic factors in gastric cancer using log-normal censored regression model.使用对数正态删失回归模型分析胃癌的预后因素
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A comparison of the logistic regression and the Cox proportional hazard models in retrospective studies on the prognosis of patients with gastric cancer.胃癌患者预后回顾性研究中逻辑回归模型与Cox比例风险模型的比较
J Surg Oncol. 1993 Jan;52(1):9-13. doi: 10.1002/jso.2930520104.
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Multivariate analysis of prognostic factors in gastric cancer patients using additive hazards regression models.使用相加风险回归模型对胃癌患者预后因素进行多变量分析。
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Multivariate analysis of prognostic factors in gastric cancer patients using additive hazards regression models.使用相加风险回归模型对胃癌患者预后因素进行多变量分析。
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Statistical comparison of survival models for analysis of cancer data.用于癌症数据分析的生存模型的统计比较。
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Survival in gastric cancer patients: univariate and multivariate analysis.胃癌患者的生存率:单因素和多因素分析。
East Afr J Public Health. 2009 Apr;6 Suppl(1):41-4. doi: 10.4314/eajph.v6i3.45773.
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Effect of demographic and clinicopathologic factors on prognosis of early gastric cancer in Iran.人口统计学和临床病理因素对伊朗早期胃癌预后的影响。
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[Prognostic factors of lymph node-negative metastasis gastric cancer].[淋巴结阴性转移性胃癌的预后因素]
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Adenocarcinoma in the middle third of the stomach--an evaluation for the prognostic significance of clinicopathological features.胃中三分之一腺癌——临床病理特征预后意义的评估
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