Journal of Intensive and Critical Care Open Access

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Editorial - (2015) Volume 1, Issue 1

Network Meta-analysis for Evidence Synthesis in Intensive and Critical Care: Advanced Topics and Future Perspectives

Leonardo Roever1*, Elmiro Santos Resende1, and Giuseppe Biondi-Zoccai2,3,4

Federal University of Uberlândia, Department of Clinical Research, Brazil

Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy

Eleonora Lorillard Spencer Cenci Foundation, Rome, Italy

VCU Pauley Heart Center, Virginia Commonwealth University, Richmond, VA, USA

Corresponding Author:

Leonardo S Roever-Borges
Federal University of Uberlândia
Department of Clinical Research
Bairro Umuarama, Uberlândia, Brazil
Tel: 553488039878
E-mail: leonardoroever@hotmail.com

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Introduction

Clinical decision-making depends on a balanced judgment between the resources, tasks, skills and values, which in several times depends on external factors that cannot be easily controlled. Network meta-analysis is used to include all methods of synthesis that is extensive evidence, indirect comparison set, the comparison treatment mixture, and processing multiple meta-analysis [1-13] (Table 1).

Network meta-analysis in intensive and critical care
Advanced Topics Future Perspectives
Incorporating moderators: network meta-regression
Appraising between-study heterogeneity
Appraising inconsistency between direct and indirect estimates
Appraising small study effects and publication bias
Combining multiple effect estimates: multivariate network meta-analysis
Moving from study-level to patient-level data: individual patient network meta-analysis
State of the art reporting of network meta-analyses
Moving from evidence synthesis to action The future of network meta-analysis: toward accessibility and integration

Table 1 Describes the advanced topics and future perspectives of the network meta-analysis in intensive and critical care.

The future of network meta-analysis depends on the process of conducting a valid and effective systematic review, as well as the successful implementation of decision makers. This can provide new solutions to complex problems, from the evidence available to guide a more accurate clinical practice.

References

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  2. Biondi-Zoccai G, Abbate A, Benedetto U, Palmerini T, D'Ascenzo F, et al. (2015) Network meta-analysis for evidence synthesis: What is it and why is it posed to dominate cardiovascular decision making? International Journal of Cardiology 182: 309-314.
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