A prognostic model for advanced colorectal neoplasia recurrence.

ABSTRACT:

Purpose

Following colonoscopic polypectomy, US Multisociety Task Force (USMSTF) guidelines stratify patients based on risk of subsequent advanced neoplasia (AN) using number, size, and histology of resected polyps, but have only moderate sensitivity and specificity. We hypothesized that a state-of-the-art statistical prediction model might improve identification of patients at high risk of future AN and address these challenges.

Methods

Data were pooled from seven prospective studies which had follow-up ascertainment of metachronous AN within 3-5 years of baseline polypectomy (combined n = 8,228). Pooled data were randomly split into training (n = 5,483) and validation (n = 2,745) sets. A prognostic model was developed using best practices. Two risk cut-points were identifie

SUBMITTER: Liu L 

PROVIDER: S-EPMC5495135 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature