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Antiemetics for adults for prevention of nausea and vomiting caused by moderately or highly emetogenic chemotherapy: a network meta-analysis.

Author: AdamsAnne, HaqueMadhuri, JordanKarin, KreuzbergerNina, KuhrKathrin, MonsefIna, PiechottaVanessa, ScheckelBenjamin, SkoetzNicole

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.
ReviewAn article that critically examines existing research on a particular topic and summarizes the current state of knowledge in the field.
Systematic ReviewA review that systematically collects, evaluates, and integrates relevant research to answer a specific research question.

Overview

This network meta-analysis compared the effects of antiemetic treatment combinations including neurokinin-1 (NK₁) receptor antagonists, 5-hydroxytryptamine-3 (5-HT₃) receptor antagonists, and corticosteroids on prevention of chemotherapy-induced nausea and vomiting (CINV) in adults receiving highly emetogenic chemotherapy (HEC) or moderately emetogenic chemotherapy (MEC).
Paper Details　
Original Abstract of the Article :
About 70% to 80% of adults with cancer experience chemotherapy-induced nausea and vomiting (CINV). CINV remains one of the most distressing symptoms associated with cancer therapy and is associated with decreased adherence to chemotherapy. Combining 5-hydroxytryptamine-3 (5-HT₃) receptor antagonists...See full text at original site
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引用元：
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594936/

データ提供：米国国立医学図書館（NLM）

Antiemetics for Chemotherapy-Induced Nausea and Vomiting: A Comprehensive Guide

Chemotherapy, a cornerstone of cancer treatment, often comes with a debilitating side effect: nausea and vomiting. This study delves into the world of antiemetics, medications used to prevent and treat chemotherapy-induced nausea and vomiting (CINV). The researchers conducted a network meta-analysis, comparing the effectiveness of various antiemetic combinations, including 5-hydroxytryptamine-3 (5-HT3) receptor antagonists, corticosteroids, and neurokinin-1 (NK1) receptor antagonists, for preventing CINV in adults receiving both highly emetogenic chemotherapy (HEC) and moderately emetogenic chemotherapy (MEC). The findings offer valuable insights into the optimal antiemetic regimens for different chemotherapy regimens.

Navigating the World of Antiemetics: Finding the Right Route

This study serves as a valuable roadmap for clinicians navigating the complexities of antiemetic therapy. Just as a camel navigates the shifting sands of the desert, clinicians must carefully choose the right antiemetic strategy for each patient. The network meta-analysis provides evidence-based guidance on the effectiveness of various antiemetic combinations for different chemotherapy regimens.

Comforting the Journey: Easing Chemotherapy Side Effects

This research emphasizes the importance of minimizing the discomfort associated with chemotherapy. Just as a desert traveler seeks comfort during a long and arduous journey, cancer patients deserve effective antiemetic therapy to alleviate the side effects of chemotherapy. The study's findings offer hope for improved comfort and quality of life for those undergoing cancer treatment.

Dr.Camel's Conclusion

This study underscores the importance of comprehensive patient care in cancer treatment. Just as a camel relies on its strength and resilience to endure the harsh desert, cancer patients rely on their healthcare providers to provide not only effective treatment but also comfort and support during the challenging journey of cancer treatment.

Date :
  1. Date Completed 2021-12-06
  2. Date Revised 2023-11-08
Further Info :

Pubmed ID

34784425

DOI: Digital Object Identifier

PMC8594936

SNS
PICO Info
in preparation
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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