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Drugs for preventing postoperative nausea and vomiting in adults after general anaesthesia: an abridged Cochrane network meta-analysis.

Author: EberhartL H J, KienbaumP, KrankeP, MeybohmP, PaceN L, RajD, RückerG, SchaeferM S, SchlesingerT, WeibelS

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
Meta-AnalysisA statistical technique that integrates the results of multiple studies to draw more general conclusions about a particular issue.
Research Support, Non-U.S. Gov'tResearch funding provided by government agencies outside the United States.
Systematic ReviewA review that systematically collects, evaluates, and integrates relevant research to answer a specific research question.

Overview

Postoperative nausea and vomiting (PONV) is a common adverse effect of anesthesia. This systematic review with network meta-analyses compared and ranked the efficacy and safety of various anti-emetic drugs and combinations for PONV prevention in adults after general anesthesia. The review found that combinations of drugs were generally more effective than single drugs, with single neurokinin-1 receptor antagonists showing comparable efficacy.
Paper Details　
Original Abstract of the Article :
Postoperative nausea and vomiting is a common adverse effect of anaesthesia. Although dozens of different anti-emetics are available for clinical practice, there is currently no comparative ranking of efficacy and safety of these drugs to inform clinical practice. We performed a systematic review wi...See full text at original site
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引用元：
https://doi.org/10.1111/anae.15295

データ提供：米国国立医学図書館（NLM）

Navigating the Anti-Emetic Maze: A Comprehensive Comparison of Drugs

Postoperative nausea and vomiting (PONV) is a common and often debilitating side effect of anesthesia. This meta-analysis aims to provide a comprehensive comparison of the effectiveness and safety of different anti-emetic drugs used to prevent PONV in adults after general anesthesia. The researchers analyzed data from 585 trials, including a wide range of anti-emetic drugs and combinations. Their findings indicate that combinations of drugs generally provide better protection against PONV compared to single drugs. Among single-drug treatments, neurokinin-1 receptor antagonists emerged as effective options. The study also identified specific drugs that were most effective for preventing PONV, highlighting the need for personalized treatment approaches based on individual patient needs and risk factors.

A Road Map for Anti-Emetic Choice: Ranking Efficacy and Safety

This meta-analysis provides valuable insights into the effectiveness and safety of different anti-emetic drugs, serving as a valuable resource for healthcare providers who aim to optimize PONV prevention strategies. The study's comprehensive approach allows for a more informed selection of anti-emetic drugs, leading to better patient outcomes and a more comfortable recovery experience.

Beyond the Nausea: Considering the Side Effects of Anti-Emetics

This study underscores the importance of considering not only the efficacy but also the potential side effects of different anti-emetic drugs. Understanding the safety profile of each drug is crucial for making informed treatment decisions. The research findings encourage further exploration of the long-term safety and efficacy of different anti-emetic drugs, ensuring that patients receive the best possible care while minimizing the risk of adverse events.

Dr.Camel's Conclusion

Imagine a camel caravan navigating a winding desert path, with each member facing different challenges and requiring different approaches. Similarly, managing PONV requires a personalized approach, taking into account individual patient needs and risk factors. This study provides a roadmap for navigating the anti-emetic landscape, helping healthcare providers choose the most effective and safe drugs for their patients.
Date :
  1. Date Completed 2021-06-21
  2. Date Revised 2021-06-21
Further Info :

Pubmed ID

33170514

DOI: Digital Object Identifier

10.1111/anae.15295

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Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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