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Association between metabolic syndrome and uric acid: a systematic review and meta-analysis
This systematic review and meta-analysis aim to provide the best evidence on the association between metabolic syndrome (MetS) and uric acid (UA) by determining the size of the effect of this biomarker on MetS. The review protocol is registered with PROSPERO (CRD42021231124). The search covered the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626571/ https://www.ncbi.nlm.nih.gov/pubmed/36319728 http://dx.doi.org/10.1038/s41598-022-22025-2 |
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author | Raya-Cano, Elena Vaquero-Abellán, Manuel Molina-Luque, Rafael De Pedro-Jiménez, Domingo Molina-Recio, Guillermo Romero-Saldaña, Manuel |
author_facet | Raya-Cano, Elena Vaquero-Abellán, Manuel Molina-Luque, Rafael De Pedro-Jiménez, Domingo Molina-Recio, Guillermo Romero-Saldaña, Manuel |
author_sort | Raya-Cano, Elena |
collection | PubMed |
description | This systematic review and meta-analysis aim to provide the best evidence on the association between metabolic syndrome (MetS) and uric acid (UA) by determining the size of the effect of this biomarker on MetS. The review protocol is registered with PROSPERO (CRD42021231124). The search covered the PubMed and Scopus databases. Methodological quality was assessed with the STROBE tool, overall risk of bias with RevMan (Cochrane Collaboration) and quality of evidence with Grade Pro. Initially, 1582 articles were identified. Then, after excluding duplicates and reviewing titles and abstracts, 1529 articles were excluded from applying the eligibility criteria. We included 43 papers (56 groups) comparing UA concentrations between subjects 91,845 with MetS and 259,931 controls. Subjects with MetS had a higher mean UA of 0.57 mg/dl (95% CI 0.54–0.61) (p < 0.00001). Given the heterogeneity of the included studies, the researchers decided to perform subgroups analysis. Men with MetS have a higher UA concentration mg/dl 0.53 (95% CI 0.45–0.62, p < 0.00001) and women with MetS 0.57 (95% CI 0.48–0.66, p < 0.00001) compared to subjects without MetS. Assessment of UA concentration could provide a new avenue for early diagnosis of MetS, as a new biomarker and the possibility of new therapeutic targets. |
format | Online Article Text |
id | pubmed-9626571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96265712022-11-03 Association between metabolic syndrome and uric acid: a systematic review and meta-analysis Raya-Cano, Elena Vaquero-Abellán, Manuel Molina-Luque, Rafael De Pedro-Jiménez, Domingo Molina-Recio, Guillermo Romero-Saldaña, Manuel Sci Rep Article This systematic review and meta-analysis aim to provide the best evidence on the association between metabolic syndrome (MetS) and uric acid (UA) by determining the size of the effect of this biomarker on MetS. The review protocol is registered with PROSPERO (CRD42021231124). The search covered the PubMed and Scopus databases. Methodological quality was assessed with the STROBE tool, overall risk of bias with RevMan (Cochrane Collaboration) and quality of evidence with Grade Pro. Initially, 1582 articles were identified. Then, after excluding duplicates and reviewing titles and abstracts, 1529 articles were excluded from applying the eligibility criteria. We included 43 papers (56 groups) comparing UA concentrations between subjects 91,845 with MetS and 259,931 controls. Subjects with MetS had a higher mean UA of 0.57 mg/dl (95% CI 0.54–0.61) (p < 0.00001). Given the heterogeneity of the included studies, the researchers decided to perform subgroups analysis. Men with MetS have a higher UA concentration mg/dl 0.53 (95% CI 0.45–0.62, p < 0.00001) and women with MetS 0.57 (95% CI 0.48–0.66, p < 0.00001) compared to subjects without MetS. Assessment of UA concentration could provide a new avenue for early diagnosis of MetS, as a new biomarker and the possibility of new therapeutic targets. Nature Publishing Group UK 2022-11-01 /pmc/articles/PMC9626571/ /pubmed/36319728 http://dx.doi.org/10.1038/s41598-022-22025-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Raya-Cano, Elena Vaquero-Abellán, Manuel Molina-Luque, Rafael De Pedro-Jiménez, Domingo Molina-Recio, Guillermo Romero-Saldaña, Manuel Association between metabolic syndrome and uric acid: a systematic review and meta-analysis |
title | Association between metabolic syndrome and uric acid: a systematic review and meta-analysis |
title_full | Association between metabolic syndrome and uric acid: a systematic review and meta-analysis |
title_fullStr | Association between metabolic syndrome and uric acid: a systematic review and meta-analysis |
title_full_unstemmed | Association between metabolic syndrome and uric acid: a systematic review and meta-analysis |
title_short | Association between metabolic syndrome and uric acid: a systematic review and meta-analysis |
title_sort | association between metabolic syndrome and uric acid: a systematic review and meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626571/ https://www.ncbi.nlm.nih.gov/pubmed/36319728 http://dx.doi.org/10.1038/s41598-022-22025-2 |
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