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Review
. 2023 Nov 6;3(1):44.
doi: 10.1186/s44158-023-00129-z.

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

Affiliations
Review

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

Alessandro De Cassai et al. J Anesth Analg Crit Care. .

Abstract

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.

Keywords: Bias; Meta-analysis; Statistical analysis.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Example of Cochrane Risk of Bias 2 graphical representation
Fig. 2
Fig. 2
Example of Robins-I graphical representation
Fig. 3
Fig. 3
Example of Robins-E graphical representation

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