Predictive Models to Assess Risk of Persistent Opioid Use, Opioid Use Disorder, and Overdose.

ABSTRACT:

Background

This systematic review summarizes the development, accuracy, quality, and clinical utility of predictive models to assess the risk of opioid use disorder (OUD), persistent opioid use, and opioid overdose.

Methods

In accordance with Preferred Reporting Items for a Systematic Review and Meta-analysis guidelines, 8 electronic databases were searched for studies on predictive models and OUD, overdose, or persistent use in adults until June 25, 2023. Study selection and data extraction were completed independently by 2 reviewers. Risk of bias of included studies was assessed independently by 2 reviewers using the Prediction model Risk of Bias ASsessment Tool (PROBAST).

Results

The literature search yielded 3130 reports; after removing 199 duplicates, excluding 2

SUBMITTER: Song SL 

PROVIDER: S-EPMC11150108 | biostudies-literature | 2024 May-Jun 01

REPOSITORIES: biostudies-literature