Linked Life Data

3680366

Source:http://linkedlifedata.com/resource/pubmed/id/3680366

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
1988-1-7
pubmed:abstractText
In 150 curative resected adenocarcinomas of the large bowel we analyzed the morphological parameters of the primary tumor and lymph node involvement which most efficiently expressed the relationship to survival time. Using univariate survival analysis (product limit estimator according Kaplan-Meier), several macroscopical and microscopical parameters of the primary tumor and lymph node involvement significantly correlated with survival time. A multivariate survival analysis of covariates according to the Cox regression model revealed that the significant correlations of all these parameters were expressed by a set of five variables: pT stage, number of inflammatory cells, sex, age, and pN stage. As shown by the Kaplan-Meier test, this set of variables allowed a more precise prediction of survival time than mere staging according to the TNM system. Parametric multiple stepwise survival analysis was inefficient. No distinct relationship was found between the morphology of the primary tumor and the involvement of lymph nodes.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0171-5216
pubmed:author
pubmed:issnType
Print
pubmed:volume
113
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
586-92
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
1987
pubmed:articleTitle
Morphological predictors of survival in colorectal carcinoma: univariate and multivariate analysis.
pubmed:affiliation
Department of Pathology, Philipps-University, Marburg, Federal Republic of Germany.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't