Project rebuild the evidence base (REB): A method to interpret randomised clinical trials and their meta-analysis to present solid benefit-risk assessments to patients

医学 人口 随机对照试验 荟萃分析 循证实践 基石 临床试验 系统回顾 循证医学 替代医学 家庭医学 梅德林 医学物理学 医学教育 内科学 艺术 法学 视觉艺术 环境卫生 病理 政治学
作者
Rémy Boussageon,Clara Blanchard,Élodie Charuel,Thibault Ménini,Bruno Pereira,Florian Naudet,Behrouz Kassaï,François Gueyffier,Michel Cucherat,Hélène Vaillant-Roussel
出处
期刊:Therapie [Elsevier BV]
卷期号:78 (4): 353-365 被引量:6
标识
DOI:10.1016/j.therap.2022.10.008
摘要

Evidence-based medicine is the cornerstone of shared-decision making in healthcare today. The public deserves clear, transparent and trust-worthy information on drug efficacy. Yet today, many drugs are prescribed and used without solid evidence of efficacy. Clinical trials and randomised clinical trials (RCTs) are the best method to evaluate drug efficacy and side effects. In a shared medical decision-making approach, general practitioners need drug assessment based on patient-important outcomes. The aim of project rebuild the evidence base (REB) is to bridge the gap between the data needed in clinical practice and the data available from clinical research. The drugs will be assessed on clinical patient important outcomes and for a population. Using the Cochrane tools, we propose to analyse for each population and outcome: 1) a meta-analysis based on RCTs with a low risk of bias overall; 2) an evaluation of results of confirmatory RCTs; 3) a statistical analysis of heterrogeneity between RCTs and 4) an analysis of publication bias. Depending on the results of these analyses, the evidence will be categorized in 4 different levels: firm evidence, evidence (to be confirmed), signal or absence of evidence. Project REB proposes a method for reading and interpreting RCTs and their meta-analysis to produce quality data for general practitioners to focus on risk-benefit assessment in the interest of patients. If this data does not exist, it could enable clinical research to better its aim.
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