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Enhancing study quality assessment: an in-depth review of risk of bias tools for meta-analysis—a comprehensive guide for anesthesiologists

BACKGROUND: 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...

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Autores principales: De Cassai, Alessandro, Boscolo, Annalisa, Zarantonello, Francesco, Pettenuzzo, Tommaso, Sella, Nicolò, Geraldini, Federico, Munari, Marina, Navalesi, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626791/
https://www.ncbi.nlm.nih.gov/pubmed/37932825
http://dx.doi.org/10.1186/s44158-023-00129-z
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author De Cassai, Alessandro
Boscolo, Annalisa
Zarantonello, Francesco
Pettenuzzo, Tommaso
Sella, Nicolò
Geraldini, Federico
Munari, Marina
Navalesi, Paolo
author_facet De Cassai, Alessandro
Boscolo, Annalisa
Zarantonello, Francesco
Pettenuzzo, Tommaso
Sella, Nicolò
Geraldini, Federico
Munari, Marina
Navalesi, Paolo
author_sort De Cassai, Alessandro
collection PubMed
description BACKGROUND: 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. MAIN BODY: 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. CONCLUSION: We provided an overview of the most used risk of bias tools used in meta-analysis.
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spelling pubmed-106267912023-11-07 Enhancing study quality assessment: an in-depth review of risk of bias tools for meta-analysis—a comprehensive guide for anesthesiologists De Cassai, Alessandro Boscolo, Annalisa Zarantonello, Francesco Pettenuzzo, Tommaso Sella, Nicolò Geraldini, Federico Munari, Marina Navalesi, Paolo J Anesth Analg Crit Care Review BACKGROUND: 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. MAIN BODY: 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. CONCLUSION: We provided an overview of the most used risk of bias tools used in meta-analysis. BioMed Central 2023-11-06 /pmc/articles/PMC10626791/ /pubmed/37932825 http://dx.doi.org/10.1186/s44158-023-00129-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
De Cassai, Alessandro
Boscolo, Annalisa
Zarantonello, Francesco
Pettenuzzo, Tommaso
Sella, Nicolò
Geraldini, Federico
Munari, Marina
Navalesi, Paolo
Enhancing study quality assessment: an in-depth review of risk of bias tools for meta-analysis—a comprehensive guide for anesthesiologists
title Enhancing study quality assessment: an in-depth review of risk of bias tools for meta-analysis—a comprehensive guide for anesthesiologists
title_full Enhancing study quality assessment: an in-depth review of risk of bias tools for meta-analysis—a comprehensive guide for anesthesiologists
title_fullStr Enhancing study quality assessment: an in-depth review of risk of bias tools for meta-analysis—a comprehensive guide for anesthesiologists
title_full_unstemmed Enhancing study quality assessment: an in-depth review of risk of bias tools for meta-analysis—a comprehensive guide for anesthesiologists
title_short Enhancing study quality assessment: an in-depth review of risk of bias tools for meta-analysis—a comprehensive guide for anesthesiologists
title_sort enhancing study quality assessment: an in-depth review of risk of bias tools for meta-analysis—a comprehensive guide for anesthesiologists
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626791/
https://www.ncbi.nlm.nih.gov/pubmed/37932825
http://dx.doi.org/10.1186/s44158-023-00129-z
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