Abstract | BACKGROUND: METHODS: 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.
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Authors | Brett Doleman, Ole Mathiesen, Alex J Sutton, Nicola J Cooper, Jon N Lund, John P Williams |
Journal | British journal of anaesthesia
(Br J Anaesth)
Vol. 130
Issue 6
Pg. 719-728
(06 2023)
ISSN: 1471-6771 [Electronic] England |
PMID | 37059625
(Publication Type: Meta-Analysis, Systematic Review, Journal Article, Review)
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Copyright | Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved. |
Chemical References |
- Analgesics, Non-Narcotic
- Ketamine
- Analgesics
- Lidocaine
- Analgesics, Opioid
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Topics |
- Humans
- Analgesics, Non-Narcotic
(therapeutic use)
- Network Meta-Analysis
- Ketamine
(therapeutic use)
- Analgesics
(therapeutic use)
- Pain, Postoperative
(drug therapy, prevention & control)
- Lidocaine
(therapeutic use)
- Analgesics, Opioid
(adverse effects)
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