4.6 Review

Non-opioid analgesics for the prevention of chronic postsurgical pain: a systematic review and network meta-analysis

Journal

BRITISH JOURNAL OF ANAESTHESIA
Volume 130, Issue 6, Pages 719-728

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.bja.2023.02.041

Keywords

chronic postsurgical pain; multimodal analgesia; network meta-analysis; non-opioid analgesia; systematic review

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This study used network meta-analysis to identify non-opioid analgesics that may reduce chronic postsurgical pain. Lidocaine, ketamine, and gabapentinoids were found to be potentially effective. However, the low confidence in these findings is due to bias risk and imprecision.
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 post-surgical 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.

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