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Título : Multicomponent (bio)markers for obesity risk prediction: a scoping review protocol
Autor : Vahid, Farhad
Dessenne, Coralie
Tur, Josep A
Bouzas, Cristina
Devaux, Yvan
Monserrat Mesquida, Margalida
Sureda, Antoni
Desai, Mahesh S
Turner, Jonathan D
Lamy, Elsa
Perez-Jimenez, Maria
Ravn-Haren, Gitte
Andersen, Rikke
Forberger, Sarah
Nagrani, Rajini
Ouzzahra, Yacine
Fontefrancesco, Michele Filippo
Giovanna Onorati, Maria
Gabriel Bonetti, Gino
De Magistris, Tiziana
Bohn, Torsten
Fecha de publicación : 2024
Citación : Vahid, F., Dessenne, C., Tur, J. A., Bouzas, C., Devaux, Y., Malisoux, L., Monserrat-Mesquida, M., Sureda, A., Desai, M. S., Turner, J. D., Lamy, E., Perez-Jimenez, M., Ravn-Haren, G., Andersen, R., Forberger, S., Nagrani, R., Ouzzahra, Y., Fontefrancesco, M. F., Onorati, M. G., … Bohn, T. (2024). Multicomponent (bio)markers for obesity risk prediction: A scoping review protocol. BMJ Open, 14(3), e083558. https://doi.org/10.1136/bmjopen-2023-083558
Resumen : Introduction Despite international efforts, the number of individuals struggling with obesity is still increasing. An important aspect of obesity prevention relates to identifying individuals at risk at early stage, allowing for timely risk stratification and initiation of countermeasures. However, obesity is complex and multifactorial by nature, and one isolated (bio)marker is unlikely to enable an optimal risk stratification and prognosis for the individual; rather, a combined set is required. Such a multicomponent interpretation would integrate biomarkers from various domains, such as classical markers (eg, anthropometrics, blood lipids), multiomics (eg, genetics, proteomics, metabolomics), lifestyle and behavioural attributes (eg, diet, physical activity, sleep patterns), psychological traits (mental health status such as depression) and additional host factors (eg, gut microbiota diversity), also by means of advanced interpretation tools such as machine learning. In this paper, we will present a protocol that will be employed for a scoping review that attempts to summarise and map the state-of-the-art in the area of multicomponent (bio)markers related to obesity, focusing on the usability and effectiveness of such biomarkers. Methods and analysis PubMed, Scopus, CINAHL and Embase databases will be searched using predefined key terms to identify peer-reviewed articles published in English until January 2024. Once downloaded into EndNote for deduplication, CADIMA will be employed to review and select abstracts and full-text articles in a two-step procedure, by two independent reviewers. Data extraction will then be carried out by several independent reviewers. Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews and Peer Review of Electronic Search Strategies guidelines will be followed. Combinations employing at least two biomarkers from different domains will be mapped and discussed.
URI : http://hdl.handle.net/10532/6930
ISSN : 20446055
Licencia: http://creativecommons.org/licenses/by-nc/4.0/
Aparece en las colecciones: [DOCIART] Artículos científicos, técnicos y divulgativos

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