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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

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
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

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.

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Bousquet, Jean, Sousa-Pinto, Bernardo and Vieira, Rafael José , et al. (2025) 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. Allergy. (doi:10.1111/all.70100).

Record type: Article

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.

Text
Allergy - 2025 - Bousquet - Methodology for the Development of the Allergic Rhinitis and Its Impact on Asthma ARIA ‐EAACI - Version of Record
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Accepted/In Press date: 3 August 2025
e-pub ahead of print date: 21 November 2025

Identifiers

Local EPrints ID: 507666
URI: http://eprints.soton.ac.uk/id/eprint/507666
ISSN: 0105-4538
PURE UUID: b417c51c-330f-4376-b08f-8327a1ab1b94
ORCID for Graham Roberts: ORCID iD orcid.org/0000-0003-2252-1248

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Date deposited: 16 Dec 2025 18:26
Last modified: 17 Dec 2025 02:40

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Contributors

Author: Jean Bousquet
Author: Bernardo Sousa-Pinto
Author: Rafael José Vieira
Author: Holger J. Schünemann
Author: Torsten Zuberbier
Author: Antonio Bognanni
Author: Alkis Togias
Author: Boleslaw Samolinski
Author: Arunas Valiulis
Author: Sian Williams
Author: Anna Bedbrook
Author: Wienczyslawa Czarlewski
Author: Maria Jose Torres
Author: Mohamed H. Shamji
Author: Mário Morais-Almeida
Author: G. Walter Canonica
Author: Leticia de Las Vecillas
Author: Mark S. Dykewicz
Author: Cristina Jacomelli
Author: Ludger Klimek
Author: Lucas Leemann
Author: Olga Lourenço
Author: Yuliia Palamarchuk
Author: Nikolaos G. Papadopoulos
Author: Ana Margarida Pereira
Author: Marine Savouré
Author: Sanna K. Toppila-Salmi
Author: Maria Teresa Ventura
Author: Juan Jose Yepes-Nuñez
Author: Alvaro A. Cruz
Author: Giorgio Ciprandi
Author: Bilun Gemicioglu
Author: Mattia Giovannini
Author: Brigita Gradauskiene
Author: Tuomas Jartti
Author: Miloš Jeseňák
Author: Piotr Kuna
Author: Violeta Kvedariene
Author: Désirée E. Larenas-Linnemann
Author: Amir H.A. Latiff
Author: Yousser Mohammad
Author: Ken Ohta
Author: Padukudru A. Mahesh
Author: Isabella Pali-Schöll
Author: Oliver Pfaar
Author: Frederico S. Regateiro
Author: Nicolas Roche
Author: Graham Roberts ORCID iD
Author: Maria V. Dimou
Author: Rachel House Tan
Corporate Author: et al.

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