Rank-heat Plot

    Review and Assessment of Network Meta-Analyses for Knowledge uptake — RANK Study

    Impact:

    The RANK Study aims to:

    • Generate new insight about the usefulness of rank-heat and surface under the cumulative ranking curve (SUCRA) plots for key knowledge users including researchers, journal editors and peer reviewers
    • Directly address the issue of poor knowledge uptake in healthcare research and may provide a solution to improving knowledge uptake by clinicians via a simple, yet innovative plot
    • Provide findings that may apply to the conduct of all future network meta-amylases evaluating interventions for safety and effectiveness for patients

    Protocol:

    Additional Resources:

    Funding:

    Ontario Ministry of Research, Innovation, and Science Early Researcher Award (2015 to 2020) awarded to Dr. Andrea Tricco


    The rank-heat plot is a novel way to present the results from a network meta-analysis including multiple outcomes

    Veroniki AA, Straus SE, Fyraridis A, Tricco AC. The rank-heat plot is a novel way to present the results from a network meta-analysis including multiple outcomes. J Clin Epidemiol. 2016;76:193-9. DOI: 10.1016/j.jclinepi.2016.02.016

     

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    Bottom Line:

    • The rank-heat plot offers a novel approach to present the results of a network meta-analysis (NMA) in a way that may increase end-user interpretability; in particular, it presents the results of ranking statistics for multiple outcomes in a single figure

    Impact:

    • Clinicians can use the rank-heat plot to discuss which agent is optimal across the different outcomes with their patients and caregivers; and guideline developers can use it to inform their recommendations, as well as policy makers, to decide about drug coverage

    Additional Resources:

    Funding:

    None

     

     

    Category :

    Date : 30 Oct 2017