Ontology highlight
ABSTRACT: Objective
To develop a mathematical model that will predict the probability of death after surgery for colorectal cancer.Design
Descriptive study using routinely collected clinical data.Data source
The database of the Association of Coloproctology of Great Britain and Ireland (ACPGBI), encompassing 8077 patients with a new diagnosis of colorectal cancer in 73 hospitals during a 12 month period.Statistical analysis
A three level hierarchical logistic regression model was used to identify independent predictors of operative mortality. The model was developed on 60% of the patient population and its validity tested on the remaining 40%.Results
Overall postoperative mortality was 7.5% (95% confidence interval 6.9% to 8.1%). Independent predictors of deat
SUBMITTER: Tekkis PP
PROVIDER: S-EPMC274053 | biostudies-literature | 2003 Nov
REPOSITORIES: biostudies-literature