Non-opioid analgesics for the prevention of chronic postsurgical pain: a systematic review and network meta-analysis
- PMID: 37059625
- PMCID: PMC10251124
- DOI: 10.1016/j.bja.2023.02.041
Non-opioid analgesics for the prevention of chronic postsurgical pain: a systematic review and network meta-analysis
Abstract
Background: Chronic postsurgical pain is common after surgery. Identification of non-opioid analgesics with potential for preventing chronic postsurgical pain is important, although trials are often underpowered. Network meta-analysis offers an opportunity to improve power and to identify the most promising therapy for clinical use and future studies.
Methods: We conducted a PRISMA-NMA-compliant systematic review and network meta-analysis of randomised controlled trials of non-opioid analgesics for chronic postsurgical pain. Outcomes included incidence and severity of chronic postsurgical pain, serious adverse events, and chronic opioid use.
Results: We included 132 randomised controlled trials with 23 902 participants. In order of efficacy, i.v. lidocaine (odds ratio [OR] 0.32; 95% credible interval [CrI] 0.17-0.58), ketamine (OR 0.64; 95% CrI 0.44-0.92), gabapentinoids (OR 0.67; 95% CrI 0.47-0.92), and possibly dexmedetomidine (OR 0.36; 95% CrI 0.12-1.00) reduced the incidence of chronic postsurgical pain at ≤6 months. There was little available evidence for chronic postsurgical pain at >6 months, combinations agents, chronic opioid use, and serious adverse events. Variable baseline risk was identified as a potential violation to the network meta-analysis transitivity assumption, so results are reported from a fixed value of this, with analgesics more effective at higher baseline risk. The confidence in these findings was low because of problems with risk of bias and imprecision.
Conclusions: Lidocaine (most effective), ketamine, and gabapentinoids could be effective in reducing chronic postsurgical pain ≤6 months although confidence is low. Moreover, variable baseline risk might violate transitivity in network meta-analysis of analgesics; this recommends use of our methods in future network meta-analyses.
Systematic review protocol: PROSPERO CRD42021269642.
Keywords: chronic postsurgical pain; multimodal analgesia; network meta-analysis; non-opioid analgesia; systematic review.
Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Conflict of interest statement
The authors declare that they have no conflicts of interest.
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References
-
- Stark N., Kerr S., Stevens J. Prevalence and predictors of persistent post-surgical opioid use: a prospective observational cohort study. Anaesth Intensive Care. 2017;45:700–706. - PubMed
-
- Richebé P., Capdevila X., Rivat C. Persistent postsurgical pain: pathophysiology and preventative pharmacologic considerations. Anesthesiology. 2018;129:590–607. - PubMed
-
- Carley M.E., Chaparro L.E., Choinière M., et al. Pharmacotherapy for the prevention of chronic pain after surgery in adults: an updated systematic review and meta-analysis. Anesthesiology. 2021;135:304–325. - PubMed
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