Unknown

Dataset Information

Prognostic Models for Predicting Overall Survival in Patients with Primary Gastric Cancer: A Systematic Review.


ABSTRACT:

Background

This study was designed to review the methodology and reporting of gastric cancer prognostic models and identify potential problems in model development.

Methods

This systematic review was conducted following the CHARMS checklist. MEDLINE and EMBASE were searched. Information on patient characteristics, methodological details, and models' performance was extracted. Descriptive statistics was used to summarize the methodological and reporting quality.

Results

In total, 101 model developments and 32 external validations were included. The median (range) of training sample size, number of death, and number of final predictors were 360 (29 to 15320), 193 (14 to 9560), and 5 (2 to 53), respectively. Ninety-one models were developed from routine clinical data. St

SUBMITTER: Feng Q 

PROVIDER: S-EPMC6766665 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature