伊维菌素对COVID-19患者死亡风险的影响:一项Meta分析

Ayu Trisni Pamilih, D. Tamtomo, Bhisma Murti
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引用次数: 0

摘要

背景:2019冠状病毒病(COVID-19)已成为全球大流行的重中之重。正在对轻度至中度的COVID-19测试新的和重新利用的药物,以帮助抑制病毒的传播。伊维菌素是一种具有已知安全记录的重新用途药物,过去已分发了超过25亿剂。本研究旨在基于之前一些类似研究的结果,估计伊维菌素在降低COVID-19患者死亡风险方面的有效性。研究对象和方法:本研究采用系统综述和荟萃分析。本研究采用了二手数据形式的数据来自以往的研究结果。通过PubMed、Science Direct、Google Scholar和Springer Link等数据库进行了系统而全面的数据库检索。本研究采用RevMan 5.3软件进行分析。本研究采用PICO模型的资格标准,人群:covid-19患者,干预:给予伊维菌素,对照:未给予伊维菌素的患者,结局:covid-19患者的死亡率。纳入标准为英文和印尼语全文,随机对照试验,包括死亡人数,主要研究在医院进行。检索数据库的关键词为“伊维菌素”、“COVID-19”或“SARS-COV-2”、“死亡率”或“死亡”和“随机对照试验”。Meta分析采用revman5.3固定效应模型(Fixed Effect Model, FEM)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effectiveness of Ivermectin on the Risk of Mortality in COVID-19 Patients: A Meta Analysis
Background: The Coronavirus Disease 2019 (COVID-19) has become the highest priority of global pandemic. New and repurposed drugs are being tested on mild to moderate levels of COVID-19 to help suppress transmission of the virus. Ivermectin is one of the repurposed drugs with known safety records with more than 2.5 billion doses dispensed in the past. This study aims to estimate the effectiveness of ivermectin in reducing the risk of mortality in COVID-19 patients based on the results of a number of previous similar studies. Subjects and Method: This study is a systematic review and meta-analysis. This study used secondary data in the form of data from previous study results. A systematic and comprehensive database search was carried out through several databases including: PubMed, Science Direct, Google Scholar, and Springer Link. Analysis of this study was using RevMan 5.3 software. This study used the eligibility criteria with the PICO model, populations: covid-19 patients, intervention: ivermectin administration, comparison: patients without ivermectin, outcome: mortality in COVID-19 patients. The inclusion criteria used were full paper in English and Indonesian with a randomized controlled trial, including the number of deaths, and the primary study was conducted in a hospital. The keywords used to search the database were "ivermectin" AND "COVID-19" OR "SARS-COV-2" AND "mortality" OR "death" AND "randomized controlled trial". Meta Analysis using RevMan 5.3 with Fixed Effect Model (FEM).
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