Multivariable prediction models for atrial fibrillation after cardiac surgery: a systematic review protocol.

ABSTRACT:

Introduction

Dozens of multivariable prediction models for atrial fibrillation after cardiac surgery (AFACS) have been published, but none have been incorporated into regular clinical practice. One of the reasons for this lack of adoption is poor model performance due to methodological weaknesses in model development. In addition, there has been little external validation of these existing models to evaluate their reproducibility and transportability. The aim of this systematic review is to critically appraise the methodology and risk of bias of papers presenting the development and/or validation of models for AFACS.

Methods

We will identify studies that present the development and/or validation of a multivariable prediction model for AFACS through searches of PubMed, Embase

SUBMITTER: Fields KG 

PROVIDER: S-EPMC10016290 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature