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Dataset Information

Development and validation of pretreatment nomogram for disease-specific mortality in gastric cancer-A competing risk analysis.


ABSTRACT:

Background

In several reports, gastric cancer nomograms for predicting overall or disease-specific survival have been described. The American Joint Committee on Cancer (AJCC) introduced the attractiveness of disease-specific mortality (DSM) as an endpoint of risk model. This study aimed to develop the first pretreatment gastric cancer nomogram for predicting DSM that considers competing risks (CRs).

Methods

The prediction model was developed using data for 5231 gastric cancer patients. Fifteen prognosticators, which were registered at diagnosis, were evaluated. The nomogram for DSM was created as visualizations of the multivariable Fine and Gray regression model. An independent cohort for external validation consisted of 389 gastric cancer patients from a different instituti

SUBMITTER: Bando E 

PROVIDER: S-EPMC8559461 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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