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      Next-generation Allergic Rhinitis and Its Impact on Asthma (ARIA) guidelines for allergic rhinitis based on Grading of Recommendations Assessment, Development and Evaluation (GRADE) and real-world evidence

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      Journal of Allergy and Clinical Immunology
      Elsevier BV

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          Abstract

          The selection of pharmacotherapy for patients with allergic rhinitis aims to control the disease and depends on many factors. Grading of Recommendations Assessment, Development and Evaluation (GRADE) guidelines have considerably improved the treatment of allergic rhinitis. However, there is an increasing trend toward use of real-world evidence to inform clinical practice, especially because randomized controlled trials are often limited with regard to the applicability of results. The Contre les Maladies Chroniques pour un Vieillissement Actif (MACVIA) algorithm has proposed an allergic rhinitis treatment by a consensus group. This simple algorithm can be used to step up or step down allergic rhinitis treatment. Next-generation guidelines for the pharmacologic treatment of allergic rhinitis were developed by using existing GRADE-based guidelines for the disease, real-world evidence provided by mobile technology, and additive studies (allergen chamber studies) to refine the MACVIA algorithm.

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          Most cited references67

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          Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines-2016 revision.

          Allergic rhinitis (AR) affects 10% to 40% of the population. It reduces quality of life and school and work performance and is a frequent reason for office visits in general practice. Medical costs are large, but avoidable costs associated with lost work productivity are even larger than those incurred by asthma. New evidence has accumulated since the last revision of the Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines in 2010, prompting its update.
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            Real-World Evidence - What Is It and What Can It Tell Us?

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              Health literacy and adherence to medical treatment in chronic and acute illness: A meta-analysis.

              To use meta-analytic techniques to assess average effect sizes in studies of: (1) the correlation between patient health literacy and both medication and non-medication adherence, and (2) the efficacy of health literacy interventions on improving health literacy and treatment adherence.
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                Author and article information

                Journal
                Journal of Allergy and Clinical Immunology
                Journal of Allergy and Clinical Immunology
                Elsevier BV
                00916749
                January 2020
                January 2020
                : 145
                : 1
                : 70-80.e3
                Article
                10.1016/j.jaci.2019.06.049
                31627910
                a9e481c3-cb2e-44c7-81c7-e18e4df71245
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://www.elsevier.com/open-access/userlicense/1.0/

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