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Metabolic syndrome and risk of ovarian cancer: a systematic review and meta-analysis

BACKGROUND: MetS is associated with greater morbidity and mortality in relation to a number of malignancies, but its association with ovarian cancer remains contested. The present study was a systematic review and meta-analysis of case-control and cohort studies examining the association between Met...

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Autores principales: Chen, Ziyu, Liu, Zesi, Yang, Hongxia, Liu, Chaosheng, Kong, Fandou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484223/
https://www.ncbi.nlm.nih.gov/pubmed/37693347
http://dx.doi.org/10.3389/fendo.2023.1219827
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author Chen, Ziyu
Liu, Zesi
Yang, Hongxia
Liu, Chaosheng
Kong, Fandou
author_facet Chen, Ziyu
Liu, Zesi
Yang, Hongxia
Liu, Chaosheng
Kong, Fandou
author_sort Chen, Ziyu
collection PubMed
description BACKGROUND: MetS is associated with greater morbidity and mortality in relation to a number of malignancies, but its association with ovarian cancer remains contested. The present study was a systematic review and meta-analysis of case-control and cohort studies examining the association between MetS and ovarian cancer risk. METHODS: The study was registered on the PROSPERO platform in January 2023 (CRD42023391830). Up until February 13, 2023, a complete search was undertaken in PubMed, EMBASE, Web of Science, the Cochrane Library, and ClinicalTrials. On the basis of inclusion and exclusion criteria, eligible studies for meta-analysis were screened to determine the association between MetS and ovarian cancer risk. RESULTS: Five studies were included in total, including three cohort studies and two case-control studies. Meta-analysis showed no significant correlation between metabolic syndrome and ovarian cancer (OR=1.29, 95% CI: 0.90-1.84). Significant heterogeneity (I(2) = 92.6, P<0.05) existed between the included studies. We performed a subgroup analysis of the risk of bias and showed that only unadjusted stratification of risk of bias for smoking (OR= 3.19, 95% CI: 2.14-4.76) and hysterectomy (OR= 3.19, 95% CI: 2.14-4.76) demonstrated a relationship between metabolic syndrome and ovarian cancer risk. The meta-regression analysis revealed that smoking and hysterectomy excision were substantially linked with heterogeneity (p < 0.05). CONCLUSION: Our research revealed no statistically significant association between MetS and ovarian cancer risk. The prevalence of metabolic syndrome has highlighted the need of enhancing and controlling women’s metabolic health. However, the evaluation of metabolic syndrome as a cancer risk factor may be deceptive and etiologically uninformative.
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spelling pubmed-104842232023-09-08 Metabolic syndrome and risk of ovarian cancer: a systematic review and meta-analysis Chen, Ziyu Liu, Zesi Yang, Hongxia Liu, Chaosheng Kong, Fandou Front Endocrinol (Lausanne) Endocrinology BACKGROUND: MetS is associated with greater morbidity and mortality in relation to a number of malignancies, but its association with ovarian cancer remains contested. The present study was a systematic review and meta-analysis of case-control and cohort studies examining the association between MetS and ovarian cancer risk. METHODS: The study was registered on the PROSPERO platform in January 2023 (CRD42023391830). Up until February 13, 2023, a complete search was undertaken in PubMed, EMBASE, Web of Science, the Cochrane Library, and ClinicalTrials. On the basis of inclusion and exclusion criteria, eligible studies for meta-analysis were screened to determine the association between MetS and ovarian cancer risk. RESULTS: Five studies were included in total, including three cohort studies and two case-control studies. Meta-analysis showed no significant correlation between metabolic syndrome and ovarian cancer (OR=1.29, 95% CI: 0.90-1.84). Significant heterogeneity (I(2) = 92.6, P<0.05) existed between the included studies. We performed a subgroup analysis of the risk of bias and showed that only unadjusted stratification of risk of bias for smoking (OR= 3.19, 95% CI: 2.14-4.76) and hysterectomy (OR= 3.19, 95% CI: 2.14-4.76) demonstrated a relationship between metabolic syndrome and ovarian cancer risk. The meta-regression analysis revealed that smoking and hysterectomy excision were substantially linked with heterogeneity (p < 0.05). CONCLUSION: Our research revealed no statistically significant association between MetS and ovarian cancer risk. The prevalence of metabolic syndrome has highlighted the need of enhancing and controlling women’s metabolic health. However, the evaluation of metabolic syndrome as a cancer risk factor may be deceptive and etiologically uninformative. Frontiers Media S.A. 2023-08-24 /pmc/articles/PMC10484223/ /pubmed/37693347 http://dx.doi.org/10.3389/fendo.2023.1219827 Text en Copyright © 2023 Chen, Liu, Yang, Liu and Kong https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Chen, Ziyu
Liu, Zesi
Yang, Hongxia
Liu, Chaosheng
Kong, Fandou
Metabolic syndrome and risk of ovarian cancer: a systematic review and meta-analysis
title Metabolic syndrome and risk of ovarian cancer: a systematic review and meta-analysis
title_full Metabolic syndrome and risk of ovarian cancer: a systematic review and meta-analysis
title_fullStr Metabolic syndrome and risk of ovarian cancer: a systematic review and meta-analysis
title_full_unstemmed Metabolic syndrome and risk of ovarian cancer: a systematic review and meta-analysis
title_short Metabolic syndrome and risk of ovarian cancer: a systematic review and meta-analysis
title_sort metabolic syndrome and risk of ovarian cancer: a systematic review and meta-analysis
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484223/
https://www.ncbi.nlm.nih.gov/pubmed/37693347
http://dx.doi.org/10.3389/fendo.2023.1219827
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