Methodology for the Development of the Allergic Rhinitis and Its Impact on Asthma ( ARIA )‐EAACI 2024–2025 Guidelines: From Evidence‐to‐Decision Frameworks to Digitalised Shared Decision‐Making Algorithms

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Authors: Jean; https://orcid.org/0000-0002-4061-4766 Bousquet, Bernardo Sousa-Pinto, Rafael José; https://orcid.org/0000-0003-1834-3055 Vieira, Holger J. Schünemann, Torsten; https://orcid.org/0000-0002-1466-8875 Zuberbier, Antonio Bognanni, Alkis G. Togias, Boleslaw Samolinski, Arunas Valiulis, Sian Williams, Anna Bedbrook, W. Czarlewski
+21 more Maria Jose; https://orcid.org/0000-0001-5228-471X Torres, Mohamed H. Shamji, Mario Morais-Almeida, G. Walter Canonica, Leticia; https://orcid.org/0000-0003-4969-5678 de las Vecillas, Mark S. Dykewicz, Cristina Jacomelli, Ludger; https://orcid.org/0000-0002-2455-0192 Klimek, Lucas; https://orcid.org/0000-0001-5201-869X Leemann, Olga Lourenço, Yuliia Palamarchuk, Nikolaos G; https://orcid.org/0000-0002-4448-3468 Papadopoulos, Ana Margarida Pereira, Marine Savouré, Sanna K. Toppila‐Salmi, Maria Teresa Ventura, Juan José Yepes-Núñez, A. A. Cruz, Michael B; https://orcid.org/0000-0003-4179-4989 Soyka, İsmail Öğülür, et al
Cited by: 1
References: 87

Abstract

The Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines produced their first edition in 1999, with subsequent revisions in 2008, 2010, 2016 and 2019. A new iteration of ARIA—ARIA 2024–2025—in collaboration with EAACI is currently being developed, focusing on the management of allergic rhinitis. ARIA 2024–2025 follows the GRADE framework and is endorsed by the European Academy of Allergy and Clinical Immunology (EAACI). A set of approaches has been used to develop guideline questions, including surveying key opinion leaders and using artificial intelligence (AI)‐based tools to analyse web searches on allergic rhinitis and to generate questions. Each prioritised guideline question is assessed through an Evidence‐to‐Decision (EtD) framework. EtDs support the systematic and transparent formulation of recommendations, comprising 12 criteria for which the best available evidence should be sought. In the context of ARIA‐EAACI 2024–2025, such evidence is derived not only from randomised controlled trials but also—among others—from patient‐generated data sources that better reflect the affected individuals' perspectives. Moreover, ARIA‐EAACI 2024–2025 incorporates evidence on planetary health. Developed guideline recommendations will support the creation of digitalised decision algorithms and care pathways. This paper describes the methodology used to develop the person‐centred, digitally enabled and AI‐assisted ARIA‐EAACI 2024–2025. Among others, it describes (i) the development and prioritisation of guideline questions, (ii) sources of evidence for EtDs and (iii) the development of digitalised decision algorithms and care pathways.

Fields of Study & Subjects

Allergic Rhinitis and Sensitization Asthma and respiratory diseases Delphi Technique in Research

Publication details

Journal / source
Zurich Open Repository and Archive (University of Zurich)
Publisher
Wiley
Volume
81
Issue
2
Pages
427-453
Publication date
1 February 2026
Language
EN