Recommendations for prediction models in clinical practice guidelines for cardiovascular diseases are over-optimistic: a global survey utilizing a systematic literature search.

ABSTRACT:

Background

This study aimed to synthesize the recommendations for prediction models in cardiovascular clinical practice guidelines (CPGs) and assess the methodological quality of the relevant primary modeling studies.

Methods

We performed a systematic literature search of all available cardiovascular CPGs published between 2018 and 2023 that presented specific recommendations (whether in support or non-support) for at least one multivariable clinical prediction model. For the guideline-recommended models, the assessment of the methodological quality of their primary modeling studies was conducted using the Prediction model Risk Of Bias ASsessment Tool (PROBAST).

Results

In total, 46 qualified cardiovascular CPGs were included, with 69 prediction models and 80 specific

SUBMITTER: Jing CY 

PROVIDER: S-EPMC11524858 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature