• AdamsMeredith C BMCB0000-0002-3969-4279Department of Anesthesiology, Artificial Intelligence, Translational Neuroscience, and Public Health Sciences, Pain Outcomes Lab, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC, Katherine A Sward, Matthew L Perkins, and Robert W Hurley.
• Department of Anesthesiology, Artificial Intelligence, Translational Neuroscience, and Public Health Sciences, Pain Outcomes Lab, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC, United States.
• Pain. 2025 Feb 3.

AbstractWe developed the National Institutes of Health helping to end addiction long-term initiative morphine milligram equivalent (MME) calculator to standardize MME calculations across pain research studies, addressing a critical barrier to effective research synthesis and meta-analysis. The tool provides evidence-based mapping factors for 29 opioids through a research electronic data capture-based calculator and companion Web site (research-mme.wakehealth.edu). Development involved systematic evidence evaluation of literature from 1949 to March 2024, following PRISMA guidelines. From an initial screening of over 170,050 articles, we identified 24 studies providing evidence for conversion factors. The calculator incorporates 4 standardized time-window calculation methods aligned with current research approaches and includes traditional full agonists, partial agonists, and mixed-mechanism agents. Using modified GRADE methodology, we evaluated evidence quality for each conversion factor, documenting levels from high-quality randomized controlled trials to pharmacokinetic extrapolation. Our tool replicates most existing Centers for Disease Control and Prevention (CDC) conversion factors while expanding coverage to 7 additional opioids and 6 formulations not included in the 2022 CDC conversion table. The calculator features options to analyze results with or without buprenorphine, accommodating its emerging role in pain research. This standardized framework enables researchers to map opioid doses using consistent, evidence-based ratios and harmonize data collection across research networks. While the tool represents a significant advance in standardizing MME calculations for research, limitations in the underlying evidence base highlight the need for continued validation through clinical research.Copyright © 2025 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the International Association for the Study of Pain.

12 keywords...

hide…