Does poor methodological quality of prediction modeling studies translate to poor model performance? An illustration in traumatic brain injury.

ABSTRACT:

Background

Prediction modeling studies often have methodological limitations, which may compromise model performance in new patients and settings. We aimed to examine the relation between methodological quality of model development studies and their performance at external validation.

Methods

We systematically searched for externally validated multivariable prediction models that predict functional outcome following moderate or severe traumatic brain injury. Risk of bias and applicability of development studies was assessed with the Prediction model Risk Of Bias Assessment Tool (PROBAST). Each model was rated for its presentation with sufficient detail to be used in practice. Model performance was described in terms of discrimination (AUC), and calibration. Delta AUC (dAUC)

SUBMITTER: Helmrich IRAR 

PROVIDER: S-EPMC9068255 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature