Comparative efficacy of therapeutics for traumatic musculoskeletal pain in the emergency setting: A network meta-analysis
- PMID: 33131973
- DOI: 10.1016/j.ajem.2020.10.038
Comparative efficacy of therapeutics for traumatic musculoskeletal pain in the emergency setting: A network meta-analysis
Abstract
Objective: Musculoskeletal pain control is essential in the management of trauma patients in the emergency department (ED). Here, we performed a network meta-analysis of the use of analgesics to manage traumatic musculoskeletal pain.
Method: This network meta-analysis (NMA) protocol was registered in PROSPERO (CRD42020150145). Electronic databases were searched for randomized controlled trials comparing systemic pharmaceutical interventions for treating traumatic musculoskeletal pain in the ED setting. The outcomes were global efficacy and changes in pain intensity.
Results: Eighteen studies (2656 patients, four medication classes) met the inclusion criteria. The top-ranking medication class for global efficacy was nonsteroidal anti-inflammatory drugs (NSAIDs; network odds ratio: 0.52, 95% credible interval: 0.34-0.81, surface under the cumulative ranking curve score: 86). No interventions were more effective at decreasing pain intensity than opioids at 60 min.
Conclusion: NSAIDs were the most effective medications for treating traumatic musculoskeletal pain, and combination therapies may not have advantages in the ED setting.
Keywords: Analgesics; Emergency; Network meta-analysis; Traumatic musculoskeletal pain.
Copyright © 2020 Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors have no conflicts of interest to declare.
Comment in
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Paracetamol is acetaminophen, not an NSAID.Am J Emerg Med. 2022 Jun;56:347. doi: 10.1016/j.ajem.2021.09.027. Epub 2021 Sep 21. Am J Emerg Med. 2022. PMID: 34598814 No abstract available.
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Pain control for traumatic musculoskeletal pain.Am J Emerg Med. 2022 Aug;58:336. doi: 10.1016/j.ajem.2022.03.051. Epub 2022 Mar 29. Am J Emerg Med. 2022. PMID: 35393157 No abstract available.
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