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      Invasive or noninvasive ? A systematic review and network meta‐analysis of acupuncture and acupressure to treat sleep disturbance in cancer patients

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          RoB 2: a revised tool for assessing risk of bias in randomised trials

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            Cochrane Handbook for Systematic Reviews of Interventions

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              Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial.

              To present some simple graphical and quantitative ways to assist interpretation and improve presentation of results from multiple-treatment meta-analysis (MTM). We reanalyze a published network of trials comparing various antiplatelet interventions regarding the incidence of serious vascular events using Bayesian approaches for random effects MTM, and we explore the advantages and drawbacks of various traditional and new forms of quantitative displays and graphical presentations of results. We present the results under various forms, conventionally based on the mean of the distribution of the effect sizes; based on predictions; based on ranking probabilities; and finally, based on probabilities to be within an acceptable range from a reference. We show how to obtain and present results on ranking of all treatments and how to appraise the overall ranks. Bayesian methodology offers a multitude of ways to present results from MTM models, as it enables a natural and easy estimation of all measures based on probabilities, ranks, or predictions. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

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                Journal
                Worldviews on Evidence-Based Nursing
                Worldviews Ev Based Nurs
                Wiley
                1545-102X
                1741-6787
                December 21 2022
                Affiliations
                [1 ]School of Nursing, Li Ka Shing Faculty of Medicine The University of Hong Kong Pokfulam Hong Kong SAR
                [2 ]School of Nursing The Hong Kong Polytechnic University Kowloon Hong Kong SAR
                [3 ]Department of Clinical Oncology, Li Ka Shing Faculty of Medicine The University of Hong Kong Pokfulam Hong Kong SAR
                [4 ]Virginia University of Integrative Medicine Vienna Virginia USA
                [5 ]College of Nursing Taipei Medical University Taipei Taiwan
                Article
                10.1111/wvn.12617
                af5cb382-c0dc-450f-a1f9-8855a439e098
                © 2022

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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