Decision Curve Analysis for Personalized Treatment Choice between Multiple Options.

ABSTRACT:

Background

Decision curve analysis can be used to determine whether a personalized model for treatment benefit would lead to better clinical decisions. Decision curve analysis methods have been described to estimate treatment benefit using data from a single randomized controlled trial.

Objectives

Our main objective is to extend the decision curve analysis methodology to the scenario in which several treatment options exist and evidence about their effects comes from a set of trials, synthesized using network meta-analysis (NMA).

Methods

We describe the steps needed to estimate the net benefit of a prediction model using evidence from studies synthesized in an NMA. We show how to compare personalized versus one-size-fit-all treatment decision-making strategies, such a

SUBMITTER: Chalkou K 

PROVIDER: S-EPMC10021120 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature