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Metabolic syndrome and the incidence of knee osteoarthritis: A meta-analysis of prospective cohort studies

BACKGROUND: Cross-sectional studies suggest an association between metabolic syndrome (MetS) and knee osteoarthritis (KOA). We performed a meta-analysis to evaluate whether MetS is an independent risk factor for KOA. METHODS: Prospective cohort studies evaluating the association between MetS and KOA...

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Autores principales: Nie, Daqing, Yan, Guixin, Zhou, Wenyu, Wang, Zhengyi, Yu, Guimei, Liu, Di, Yuan, Na, Li, Hongbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757818/
https://www.ncbi.nlm.nih.gov/pubmed/33362213
http://dx.doi.org/10.1371/journal.pone.0243576
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author Nie, Daqing
Yan, Guixin
Zhou, Wenyu
Wang, Zhengyi
Yu, Guimei
Liu, Di
Yuan, Na
Li, Hongbo
author_facet Nie, Daqing
Yan, Guixin
Zhou, Wenyu
Wang, Zhengyi
Yu, Guimei
Liu, Di
Yuan, Na
Li, Hongbo
author_sort Nie, Daqing
collection PubMed
description BACKGROUND: Cross-sectional studies suggest an association between metabolic syndrome (MetS) and knee osteoarthritis (KOA). We performed a meta-analysis to evaluate whether MetS is an independent risk factor for KOA. METHODS: Prospective cohort studies evaluating the association between MetS and KOA in general population were retrieved from PubMed and Embase. Only studies with multivariate analyses were included. Data were pooled with a random-effect model, which is considered to incorporate heterogeneity among the included studies. RESULTS: Five studies including 94,965 participants were included, with 18,990 people with MetS (20.0%). With a mean follow-up duration of 14.5 years, 2,447 KOA cases occurred. Pooled results showed that MetS was not significant associated with an increased risk of KOA after controlling of factors including body mass index (adjusted risk ratio [RR]: 1.06, 95% CI: 0.92~1.23, p = 0.40; I(2) = 33%). Subgroup analysis showed that MetS was independently associated with an increased risk of severe KOA that needed total knee arthroplasty (RR = 1.16, 95% CI: 1.03~1.30, p = 0.02), but not total symptomatic KOA (RR = 0.84, 95% CI: 0.65~1.08, p = 0.18). Stratified analyses suggested that MetS was independently associated with an increased risk of KOA in women (RR = 1.23, 95% CI: 1.03~1.47, p = 0.02), but not in men (RR = 0.90, 95% CI: 0.70~1.14, p = 0.37). CONCLUSIONS: Current evidence from prospective cohort studies did not support MetS was an independent risk factor of overall KOA in general population. However, MetS may be associated with an increased risk of severe KOA in general population, or overall KOA risk in women.
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spelling pubmed-77578182021-01-06 Metabolic syndrome and the incidence of knee osteoarthritis: A meta-analysis of prospective cohort studies Nie, Daqing Yan, Guixin Zhou, Wenyu Wang, Zhengyi Yu, Guimei Liu, Di Yuan, Na Li, Hongbo PLoS One Research Article BACKGROUND: Cross-sectional studies suggest an association between metabolic syndrome (MetS) and knee osteoarthritis (KOA). We performed a meta-analysis to evaluate whether MetS is an independent risk factor for KOA. METHODS: Prospective cohort studies evaluating the association between MetS and KOA in general population were retrieved from PubMed and Embase. Only studies with multivariate analyses were included. Data were pooled with a random-effect model, which is considered to incorporate heterogeneity among the included studies. RESULTS: Five studies including 94,965 participants were included, with 18,990 people with MetS (20.0%). With a mean follow-up duration of 14.5 years, 2,447 KOA cases occurred. Pooled results showed that MetS was not significant associated with an increased risk of KOA after controlling of factors including body mass index (adjusted risk ratio [RR]: 1.06, 95% CI: 0.92~1.23, p = 0.40; I(2) = 33%). Subgroup analysis showed that MetS was independently associated with an increased risk of severe KOA that needed total knee arthroplasty (RR = 1.16, 95% CI: 1.03~1.30, p = 0.02), but not total symptomatic KOA (RR = 0.84, 95% CI: 0.65~1.08, p = 0.18). Stratified analyses suggested that MetS was independently associated with an increased risk of KOA in women (RR = 1.23, 95% CI: 1.03~1.47, p = 0.02), but not in men (RR = 0.90, 95% CI: 0.70~1.14, p = 0.37). CONCLUSIONS: Current evidence from prospective cohort studies did not support MetS was an independent risk factor of overall KOA in general population. However, MetS may be associated with an increased risk of severe KOA in general population, or overall KOA risk in women. Public Library of Science 2020-12-23 /pmc/articles/PMC7757818/ /pubmed/33362213 http://dx.doi.org/10.1371/journal.pone.0243576 Text en © 2020 Nie et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nie, Daqing
Yan, Guixin
Zhou, Wenyu
Wang, Zhengyi
Yu, Guimei
Liu, Di
Yuan, Na
Li, Hongbo
Metabolic syndrome and the incidence of knee osteoarthritis: A meta-analysis of prospective cohort studies
title Metabolic syndrome and the incidence of knee osteoarthritis: A meta-analysis of prospective cohort studies
title_full Metabolic syndrome and the incidence of knee osteoarthritis: A meta-analysis of prospective cohort studies
title_fullStr Metabolic syndrome and the incidence of knee osteoarthritis: A meta-analysis of prospective cohort studies
title_full_unstemmed Metabolic syndrome and the incidence of knee osteoarthritis: A meta-analysis of prospective cohort studies
title_short Metabolic syndrome and the incidence of knee osteoarthritis: A meta-analysis of prospective cohort studies
title_sort metabolic syndrome and the incidence of knee osteoarthritis: a meta-analysis of prospective cohort studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757818/
https://www.ncbi.nlm.nih.gov/pubmed/33362213
http://dx.doi.org/10.1371/journal.pone.0243576
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