International Journal of Preventive Medicine (Jan 2023)

Comparative efficacy of different classes of antiemetic medications for the prevention of nausea and vomiting in cesarean section: A network meta-analysis

  • Zoleykha Asgarlou,
  • Elham Dehghanpour Mohammadian,
  • Sousan Houshmandi,
  • Mohammad Mohseni,
  • Sepideh Gareh Sheyklo,
  • Ahmad Moosavi,
  • Shiler Ahmadi

DOI
https://doi.org/10.4103/ijpvm.ijpvm_250_22
Journal volume & issue
Vol. 14, no. 1
pp. 116 – 116

Abstract

Read online

Background: Antiemetic medications have been associated with the prevention of nausea and vomiting in cesarean section, although less is known about the comparative efficacy of different medication classes. Methods: We conducted a systematic review with network meta-analyses to compare and rank antiemetic medication classes (5-HT3 receptor antagonists, dopamine receptor antagonists, corticosteroids, antihistamines, anticholinergic agents, sedatives, and opioid antagonists or partial agonists) in terms of preventing intra- and postoperative nausea and vomiting among patients undergoing cesarean section. We included all randomized controlled trials (RCTs) that evaluated any antiemetic medication classes' treatment for target outcomes. Network meta-analysis was conducted with a frequentist approach using the R netmeta package. A total of 58 trials were included (6,665 women undergoing cesarean section; mean age, 28.1 years). Results: Compared with placebo, all interventions reduced the odds of intraoperative nausea (except antihistamines), intraoperative vomiting (except antihistamines), postoperative nausea (except anticholinergic agents and opioid antagonists), and postoperative vomiting (except opioid antagonists). In terms of intraoperative nausea and both intra- and postoperative vomiting, sedatives ranked first among other medication classes. Conclusions: The relative effect sizes for various classes of antiemetic medication in preventing nausea and vomiting in the cesarean section were modeled using the principles of network meta-analysis which may facilitate informed clinical decision-making.

Keywords