Billets de Michelle Dawson

Billet publié sur Bluesky le 29/08/2025 11:54

Bluesky Publication avec DOI crossref Extrait cité dans le billet Question posée par Dawson dans le billet Lien intégré au billet Termes sur l’autisme

CAIM ("complementary, alternative and integrative medicine") for autistics?--umbrella review, free www.nature.com/articles/s41... "In addition to the generally... low levels of evidence supporting most CAIMs, a critical finding was that safety assessments were missing for most interventions..."

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Corentin J. Gosling, Laure Boisseleau, Marco Solmi, Micheal Sandbank, Lucie Jurek, Mikail Nourredine, Gabriella Porcu, Elisa Murgia, et al. (2025). Complementary, alternative and integrative medicine for autism: an umbrella review and online platform. Nature Human Behaviour, 9(12), 2610-2619. Springer Science and Business Media LLC.

Date de publication
28/08/2025
Identifiant
10.1038/s41562-025-02256-9
Auteurs
Corentin J. Gosling, Laure Boisseleau, Marco Solmi, Micheal Sandbank, Lucie Jurek, Mikail Nourredine, Gabriella Porcu, Elisa Murgia, Joaquim Radua, Paolo Fusar-Poli, Klara Kovarski, Serge Caparos, Ariane Cartigny, Samuele Cortese, Richard Delorme
Source
Nature Human Behaviour
Détails
9(12), 2610-2619
Type de référence
article
Éditeur
Springer Science and Business Media LLC
Source de métadonnées
crossref

Résumé

Abstract The use of complementary, alternative and integrative medicine (CAIM) is highly prevalent among autistic individuals, with up to 90% reporting having used CAIM at least once in their lifetime. However, the evidence base for the effects of CAIM for autism remains uncertain. Here, to fill this gap, we conducted an umbrella review of meta-analyses exploring the effects of CAIM in autism across the lifespan and developed a web platform to disseminate the generated results. Five databases were searched (up to 31 December 2023) for systematic reviews with meta-analyses exploring the effects of CAIM in autism. Independent pairs of investigators identified eligible papers and extracted relevant data. Included meta-analyses were reestimated using a consistent statistical approach, and their methodological quality was assessed with AMSTAR-2. The certainty of evidence generated by each meta-analysis was appraised using an algorithmic version of the GRADE framework. This process led to the identification of 53 meta-analytic reports, enabling us to conduct 248 meta-analyses exploring the effects of 19 CAIMs in autism. We found no high-quality evidence to support the efficacy of any CAIM for core or associated symptoms of autism. Although several CAIMs showed promising results, they were supported by very low-quality evidence. The safety of CAIMs has rarely been evaluated, making it a crucial area for future research. To support evidence-based consideration of CAIM interventions for autism, we developed an interactive platform that facilitates access to and interpretation of the present results (https://ebiact-database.com ).

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