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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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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. |
format | Online Article Text |
id | pubmed-7986266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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