Risk Prediction Models for Kidney Cancer: A Systematic Review.

ABSTRACT:

Context

Early detection of kidney cancer improves survival; however, low prevalence means that population-wide screening may be inefficient. Stratification of the population into risk categories could allow for the introduction of a screening programme tailored to individuals.

Objective

This review will identify and compare published models that predict the risk of developing kidney cancer in the general population.

Evidence acquisition

A search identified primary research reporting or validating models predicting the risk of kidney cancer in Medline and EMBASE. After screening identified studies for inclusion, we extracted data onto a standardised form. The risk models were classified using the Transparent Reporting of a multivariable prediction model for Individual

SUBMITTER: Harrison H 

PROVIDER: S-EPMC8642244 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature