De Cassai Alessandro, Boscolo Annalisa, Zarantonello Francesco, Pettenuzzo Tommaso, Sella Nicolò, Geraldini Federico, Munari Marina, Navalesi Paolo
Sant'Antonio Anesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
Anesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
J Anesth Analg Crit Care. 2023 Nov 6;3(1):44. doi: 10.1186/s44158-023-00129-z.
Yearly, a multitude of randomized controlled trials are published, overwhelming clinicians with conflicting information; this data saturation leads to confusion and hinders clinicians' everyday decision-making. Hence, it is crucial to assess the quality and reliability of the evidence in order to consolidate it. Through this synthesis, clinicians can guarantee that their decisions are informed by solid evidence. Meta-analysis, a statistical technique, can effectively combine data from multiple studies to furnish accurate and dependable evidence for clinical practice and policy decisions. Nonetheless, the reliability of the obtained results depends on the use of high-quality evidence.
Risk of bias is an assessment mandatory while performing a meta-analysis and is used to have an overview of the quality of the studies from which data are extracted. Several tools have been developed and are used to perform the risk of bias assessment. In this statistical round, we will provide an overview of the most used tools for both the randomized (Cochrane Risk of Bias 2 and Jadad) and the nonrandomized (Risk Of Bias In Non-randomized Studies and Newcastle-Ottawa Scale) clinical trials.
We provided an overview of the most used risk of bias tools used in meta-analysis.
每年都会发表大量随机对照试验,相互矛盾的信息让临床医生应接不暇;这种数据饱和导致混乱,阻碍临床医生的日常决策。因此,评估证据的质量和可靠性以对其进行整合至关重要。通过这种综合分析,临床医生可以确保他们的决策有可靠的证据支持。荟萃分析作为一种统计技术,可以有效地整合多项研究的数据,为临床实践和政策决策提供准确可靠的证据。然而,所获结果的可靠性取决于高质量证据的使用。
在进行荟萃分析时,偏倚风险评估是一项必须进行的工作,用于全面了解从中提取数据的研究的质量。已经开发了几种工具并用于进行偏倚风险评估。在本次统计环节中,我们将概述随机临床试验(Cochrane偏倚风险2和Jadad)和非随机临床试验(非随机研究中的偏倚风险和纽卡斯尔-渥太华量表)中最常用的工具。
我们概述了荟萃分析中最常用的偏倚风险工具。