临床试验的系统评价和荟萃分析

Anthony Lockett
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引用次数: 0

摘要

系统综述旨在通过全面分析已发表的研究来评估干预措施的有效性。其基础是在多个数据库中进行彻底搜索,以确定符合预定义纳入标准的研究,并提取有关研究设计、参与者特征和关键结果的数据。结果通常在适当的情况下使用荟萃分析,揭示关键发现。系统综述和荟萃分析是循证研究的基础方法,为综合特定主题的现有证据提供了一种结构化和全面的方法。虽然它们是相关的,但它们是不同的概念。系统综述是一种文献检索,它使用可重复的步骤来寻找、评估和综合证据来回答研究问题。荟萃分析使用统计技术汇集来自多个研究的数据,提供证据的定量总结。这些方法广泛应用于包括医学、公共卫生、心理学、教育和社会科学在内的各个学科,为政策、实践和进一步研究提供信息。虽然它们是不同的方法,但系统评价和元分析有共同的特点,需要共同的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic review and meta-analysis in clinical trials
A systematic review aims to evaluate the effectiveness of interventions by comprehensively analysing published studies. The basis is a thorough search across multiple databases to identify studies meeting predefined inclusion criteria, with data extracted on study design, participant characteristics and key outcomes. Results are often pooled using meta-analysis where appropriate, revealing the key findings. Systematic reviews and meta-analyses are cornerstone methodologies in evidence-based research, providing a structured and comprehensive approach to synthesizing existing evidence on a specific topic. Although they are related, they are distinct concepts. A systematic review is a type of literature search that uses repeatable steps to find evaluate and synthesize evidence to answer a research question. Meta-analyses use statistical techniques to pool data from multiple studies, providing a quantitative summary of the evidence. These methods are widely used across disciplines including medicine, public health, psychology, education and social sciences, to inform policy, practice and further research. While they are separate methods, systematic review and meta-analysis share common features and the need for common standards.
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