1987•Scandinavian Journal of GastroenterologyRequires access

Prediction of Prognosis in Patients with Gastric Cancer by Quantitative Morphology and Multivariate Analysis

Paul Schmitz-Moormann, C. Pohl, Cornelia Hüttich, G. W. Himmelmann

Open publisher page 6 citations

Abstract

In 76 patients, curatively resected gastric carcinoma was studied by quantitative morphologic methods. The relationship between the morphologic data and the survival time was calculated by univariate and multivariate statistical methods. The univariate analysis by means of the Kaplan-Meier test shows that besides the variable of the TNM schedule, the Laurén classification, stromal fibrosis, and neutrophilic infiltration present significant correlation to survival time. The multivariate analysis by multivariate survival analysis with covariates in accordance with Cox results in an estimated survival curve, nearly identical to the actual survival curve, by the two morphological variables ‘N-staging’ and ‘Laurtn classification’.

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What this paper is about

In 76 patients, curatively resected gastric carcinoma was studied by quantitative morphologic methods. The relationship between the morphologic data and the survival time was calculated by univariate and multivariate statistical methods. The univariate analysis by means of the Kaplan-Meier test shows that besides the variable of the TNM schedule, the Laurén classification, stromal fibrosis, and neutrophilic infiltration present significant correlation to survival time. The multivariate analysis by multivariate survival analysis with covariates in accordance with Cox results in an estimated survival curve, nearly identical to the actual survival curve, by the two morphological variables ‘N-staging’ and ‘Laurtn classification’.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In 76 patients, curatively resected gastric carcinoma was studied by quantitative morphologic methods. The relationship between the morphologic data and the survival time was calculated by univariate and multivariate statistical methods. The univariate analysis by means of the Kaplan-Meier test shows that besides the variable of the TNM schedule, the Laurén classification, stromal fibrosis, and neutrophilic infiltration present significant correlation to survival time. The multivariate analysis by multivariate survival analysis with covariates in accordance with Cox results in an estimated survival curve, nearly identical to the actual survival curve, by the two morphological variables ‘N-staging’ and ‘Laurtn classification’.

Key concepts: Multivariate analysis, Univariate, Multivariate statistics, Survival analysis, Proportional hazards model, Medicine, Internal medicine, Covariate

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