Machine learning research methods to predict postoperative pain and opioid use: a narrative review
Study context
- Population
- Studies developing and/or testing machine learning algorithms to predict acute, subacute or chronic pain or opioid use after any surgery
- Participants
- 61 studies
- Outcome
- Methodological aspects of machine learning studies
Methodological detailspairs of independent reviewers
- Pairs of independent reviewers
Main finding
As reported in the abstract
- Marked increase in the number of relevant publications over time
- Most studies focused on predicting chronic postsurgical pain or opioid use, using real-world data from orthopedic surgery patients
- Variability in sample size, number and type of predictors, and outcome definitions
- Patient-reported predictors highlighted as particularly informative and important to include
Original publication
Machine learning research methods to predict postoperative pain and opioid use: a narrative review. Reg Anesth Pain Med. Published 5 February 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →