Risk prediction models for colorectal cancer in people with symptoms: a systematic review.

ABSTRACT:

Background

Colorectal cancer (CRC) is the fourth leading cause of cancer-related death in Europe and the United States. Detecting the disease at an early stage improves outcomes. Risk prediction models which combine multiple risk factors and symptoms have the potential to improve timely diagnosis. The aim of this review is to systematically identify and compare the performance of models that predict the risk of primary CRC among symptomatic individuals.

Methods

We searched Medline and EMBASE to identify primary research studies reporting, validating or assessing the impact of models. For inclusion, models needed to assess a combination of risk factors that included symptoms, present data on model performance, and be applicable to the general population. Screening of studies

SUBMITTER: Williams TG 

PROVIDER: S-EPMC4907012 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature