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Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries

BACKGROUND: The assessment of the natural history of metabolic syndrome (MetS) has an important role in clarifying the pathways of this disorder. OBJECTIVE: This study purposed to provide a rational statistical view of MetS progression pathway. METHODS: We performed a systematic review in accordance...

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Autores principales: Bagheri, Pezhman, Khalili, Davood, Seif, Mozhgan, Rezaianzadeh, Abbas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986266/
https://www.ncbi.nlm.nih.gov/pubmed/33752643
http://dx.doi.org/10.1186/s12902-021-00716-7
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author Bagheri, Pezhman
Khalili, Davood
Seif, Mozhgan
Rezaianzadeh, Abbas
author_facet Bagheri, Pezhman
Khalili, Davood
Seif, Mozhgan
Rezaianzadeh, Abbas
author_sort Bagheri, Pezhman
collection PubMed
description BACKGROUND: The assessment of the natural history of metabolic syndrome (MetS) has an important role in clarifying the pathways of this disorder. OBJECTIVE: This study purposed to provide a rational statistical view of MetS progression pathway. METHODS: We performed a systematic review in accordance with the PRISMA Statement until September 2019 in the Medline/PubMed, Scopus, Embase, Web of Science and Google Scholar databases. From the 68 found studies, 12 studies were eligible for review finally. RESULTS: The selected studies were divided in 2 groups with Markovian and non-Markovian approach. With the Markov approach, the most important trigger for the MetS chain was dyslipidemia with overweight/obesity in the under-50 and with hypertension in the over-50 age group, where overweight/obesity was more important in women and hypertension in men. In non-Markov approach, the most common trigger was hypertension. Transition probability (TP) from no component to MetS were higher in all Markovian studies in men than in women. In the Markovians the combination of dyslipidemia with overweight/obesity and in non-Markovians, hyperglycemia with overweight/obesity were the most common combinations. Finally, the most important components, which predict the MetS, were 2-component states and hyperglycemia in Markovian approach and overweight/obesity in non-Markovians. CONCLUSIONS: Among the components of the MetS, dyslipidemia and hypertension seems to be the main developer components in natural history of the MetS. Also, in this chain, the most likely combination over time that determines the future status of people seems to be the combination of dyslipidemia with obesity or hyperglycemia. However, more research is needed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12902-021-00716-7.
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spelling pubmed-79862662021-03-24 Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries Bagheri, Pezhman Khalili, Davood Seif, Mozhgan Rezaianzadeh, Abbas BMC Endocr Disord Research Article BACKGROUND: The assessment of the natural history of metabolic syndrome (MetS) has an important role in clarifying the pathways of this disorder. OBJECTIVE: This study purposed to provide a rational statistical view of MetS progression pathway. METHODS: We performed a systematic review in accordance with the PRISMA Statement until September 2019 in the Medline/PubMed, Scopus, Embase, Web of Science and Google Scholar databases. From the 68 found studies, 12 studies were eligible for review finally. RESULTS: The selected studies were divided in 2 groups with Markovian and non-Markovian approach. With the Markov approach, the most important trigger for the MetS chain was dyslipidemia with overweight/obesity in the under-50 and with hypertension in the over-50 age group, where overweight/obesity was more important in women and hypertension in men. In non-Markov approach, the most common trigger was hypertension. Transition probability (TP) from no component to MetS were higher in all Markovian studies in men than in women. In the Markovians the combination of dyslipidemia with overweight/obesity and in non-Markovians, hyperglycemia with overweight/obesity were the most common combinations. Finally, the most important components, which predict the MetS, were 2-component states and hyperglycemia in Markovian approach and overweight/obesity in non-Markovians. CONCLUSIONS: Among the components of the MetS, dyslipidemia and hypertension seems to be the main developer components in natural history of the MetS. Also, in this chain, the most likely combination over time that determines the future status of people seems to be the combination of dyslipidemia with obesity or hyperglycemia. However, more research is needed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12902-021-00716-7. BioMed Central 2021-03-22 /pmc/articles/PMC7986266/ /pubmed/33752643 http://dx.doi.org/10.1186/s12902-021-00716-7 Text en © The Author(s) 2021 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Bagheri, Pezhman
Khalili, Davood
Seif, Mozhgan
Rezaianzadeh, Abbas
Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries
title Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries
title_full Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries
title_fullStr Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries
title_full_unstemmed Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries
title_short Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries
title_sort dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986266/
https://www.ncbi.nlm.nih.gov/pubmed/33752643
http://dx.doi.org/10.1186/s12902-021-00716-7
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