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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.
De Cassai, Alessandro; Boscolo, Annalisa; Zarantonello, Francesco; Pettenuzzo, Tommaso; Sella, Nicolò; Geraldini, Federico; Munari, Marina; Navalesi, Paolo.
Afiliação
  • De Cassai A; Sant'Antonio Anesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy. alessandro.decassai@gmail.com.
  • Boscolo A; Anesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
  • Zarantonello F; Anesthesia and Intensive Care Unit, Department of Medicine-DIMED, University of Padua, Padua, Italy.
  • Pettenuzzo T; Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of PaduaUOC Anesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
  • Sella N; Anesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
  • Geraldini F; Anesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
  • Munari M; Anesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
  • Navalesi P; Sant'Antonio Anesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy.
J Anesth Analg Crit Care ; 3(1): 44, 2023 Nov 06.
Article em En | MEDLINE | ID: mdl-37932825
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Revista: J Anesth Analg Crit Care Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Revista: J Anesth Analg Crit Care Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália