Bibliographic Details
| Title: |
Enhancing study quality assessment: an in-depth review of risk of bias tools for meta-analysis—a comprehensive guide for anesthesiologists |
| Authors: |
Alessandro De Cassai, Annalisa Boscolo, Francesco Zarantonello, Tommaso Pettenuzzo, Nicolò Sella, Federico Geraldini, Marina Munari, Paolo Navalesi |
| Source: |
Journal of Anesthesia, Analgesia and Critical Care, Vol 3, Iss 1, Pp 1-8 (2023) |
| Publisher Information: |
BMC, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Anesthesiology
LCC:Medical emergencies. Critical care. Intensive care. First aid |
| Subject Terms: |
Statistical analysis, Meta-analysis, Bias, Anesthesiology, RD78.3-87.3, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9 |
| More Details: |
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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2731-3786 |
| Relation: |
https://doaj.org/toc/2731-3786 |
| DOI: |
10.1186/s44158-023-00129-z |
| Access URL: |
https://doaj.org/article/057f2fd9401a49fea306cfb540be022d |
| Accession Number: |
edsdoj.057f2fd9401a49fea306cfb540be022d |
| Database: |
Directory of Open Access Journals |
