Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review.

ABSTRACT:

Objectives

This systematic review aims to provide further insights into the conduct and reporting of clinical prediction model development and validation over time. We focus on assessing the reporting of information necessary to enable external validation by other investigators.

Materials and methods

We searched Embase, Medline, Web-of-Science, Cochrane Library, and Google Scholar to identify studies that developed 1 or more multivariable prognostic prediction models using electronic health record (EHR) data published in the period 2009-2019.

Results

We identified 422 studies that developed a total of 579 clinical prediction models using EHR data. We observed a steep increase over the years in the number of developed models. The percentage of models externally validat

SUBMITTER: Yang C 

PROVIDER: S-EPMC9006694 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature