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Association between Metabolic Syndrome and Leukocytes: Systematic Review and Meta-Analysis
Background: Metabolic syndrome (MetS) is a group of metabolic abnormalities characterised by central obesity, hypertension, dyslipidaemia, and dysregulation of blood glucose, which is associated with the risk of diabetes, cardiovascular disease, and overall mortality. White blood cell count is a sel...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10671943/ https://www.ncbi.nlm.nih.gov/pubmed/38002657 http://dx.doi.org/10.3390/jcm12227044 |
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author | Raya-Cano, Elena Vaquero-Abellán, Manuel Molina-Luque, Rafael Molina-Recio, Guillermo Guzmán-García, José Miguel Jiménez-Mérida, Rocío Romero-Saldaña, Manuel |
author_facet | Raya-Cano, Elena Vaquero-Abellán, Manuel Molina-Luque, Rafael Molina-Recio, Guillermo Guzmán-García, José Miguel Jiménez-Mérida, Rocío Romero-Saldaña, Manuel |
author_sort | Raya-Cano, Elena |
collection | PubMed |
description | Background: Metabolic syndrome (MetS) is a group of metabolic abnormalities characterised by central obesity, hypertension, dyslipidaemia, and dysregulation of blood glucose, which is associated with the risk of diabetes, cardiovascular disease, and overall mortality. White blood cell count is a selective marker of acute infection and inflammation, which could provide information on the metabolic status of subjects. This study aims to provide the best evidence on the association between MetS and white blood cell count by determining the effect size of this biomarker. Methods: A systematic review and meta-analysis of studies indexed in the PubMed and Scopus databases were performed. Methodological quality was assessed using the STROBE tool, overall risk of bias using RevMan (Cochrane Collaboration), and quality of evidence using Grade Pro. Results: We included 14 articles comparing leukocyte concentrations in 21,005 subjects with MetS and 66,339 controls. Subjects with MetS had a higher mean leukocyte count, 0.64 cells ×10(9)/L; CI95% 0.55–0.72; p < 0.00001; I(2) = 93%. Conclusions: An in-depth evaluation of the relationship of leukocytes in the pathophysiological process of MetS could lead to new insights into early diagnosis. |
format | Online Article Text |
id | pubmed-10671943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106719432023-11-11 Association between Metabolic Syndrome and Leukocytes: Systematic Review and Meta-Analysis Raya-Cano, Elena Vaquero-Abellán, Manuel Molina-Luque, Rafael Molina-Recio, Guillermo Guzmán-García, José Miguel Jiménez-Mérida, Rocío Romero-Saldaña, Manuel J Clin Med Systematic Review Background: Metabolic syndrome (MetS) is a group of metabolic abnormalities characterised by central obesity, hypertension, dyslipidaemia, and dysregulation of blood glucose, which is associated with the risk of diabetes, cardiovascular disease, and overall mortality. White blood cell count is a selective marker of acute infection and inflammation, which could provide information on the metabolic status of subjects. This study aims to provide the best evidence on the association between MetS and white blood cell count by determining the effect size of this biomarker. Methods: A systematic review and meta-analysis of studies indexed in the PubMed and Scopus databases were performed. Methodological quality was assessed using the STROBE tool, overall risk of bias using RevMan (Cochrane Collaboration), and quality of evidence using Grade Pro. Results: We included 14 articles comparing leukocyte concentrations in 21,005 subjects with MetS and 66,339 controls. Subjects with MetS had a higher mean leukocyte count, 0.64 cells ×10(9)/L; CI95% 0.55–0.72; p < 0.00001; I(2) = 93%. Conclusions: An in-depth evaluation of the relationship of leukocytes in the pathophysiological process of MetS could lead to new insights into early diagnosis. MDPI 2023-11-11 /pmc/articles/PMC10671943/ /pubmed/38002657 http://dx.doi.org/10.3390/jcm12227044 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Raya-Cano, Elena Vaquero-Abellán, Manuel Molina-Luque, Rafael Molina-Recio, Guillermo Guzmán-García, José Miguel Jiménez-Mérida, Rocío Romero-Saldaña, Manuel Association between Metabolic Syndrome and Leukocytes: Systematic Review and Meta-Analysis |
title | Association between Metabolic Syndrome and Leukocytes: Systematic Review and Meta-Analysis |
title_full | Association between Metabolic Syndrome and Leukocytes: Systematic Review and Meta-Analysis |
title_fullStr | Association between Metabolic Syndrome and Leukocytes: Systematic Review and Meta-Analysis |
title_full_unstemmed | Association between Metabolic Syndrome and Leukocytes: Systematic Review and Meta-Analysis |
title_short | Association between Metabolic Syndrome and Leukocytes: Systematic Review and Meta-Analysis |
title_sort | association between metabolic syndrome and leukocytes: systematic review and meta-analysis |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10671943/ https://www.ncbi.nlm.nih.gov/pubmed/38002657 http://dx.doi.org/10.3390/jcm12227044 |
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