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Lipid profile and risk of ovarian tumours: a meta-analysis
BACKGROUND: Existing data from several reports on the association between lipid profile and ovarian tumour (OT) suggests divergent conclusions. Our aim was to examine whether circulating lipid profile: total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL) and low-density lipoprot...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068873/ https://www.ncbi.nlm.nih.gov/pubmed/32164586 http://dx.doi.org/10.1186/s12885-020-6679-9 |
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author | Onwuka, Justina Ucheojor Okekunle, Akinkunmi Paul Olutola, Olaniyi Matthew Akpa, Onoja Matthew Feng, Rennan |
author_facet | Onwuka, Justina Ucheojor Okekunle, Akinkunmi Paul Olutola, Olaniyi Matthew Akpa, Onoja Matthew Feng, Rennan |
author_sort | Onwuka, Justina Ucheojor |
collection | PubMed |
description | BACKGROUND: Existing data from several reports on the association between lipid profile and ovarian tumour (OT) suggests divergent conclusions. Our aim was to examine whether circulating lipid profile: total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) differed between cases and non-cases of OT. METHODS: Electronic repositories; PUBMED, EMBASE and Cochrane library were explored through December 2019 to retrieve published articles for inclusion in the meta-analysis after quality assessment. Heterogeneity was assessed using I(2) statistics, the effect of individual studies on the overall effect size was tested using sensitivity analysis and funnel plot was used to evaluate publication bias. RESULTS: Twelve studies, involving 1767 OT cases and 229,167 non-cases of OT were included in this meta-analysis and I(2) statistics ranged between 97 and 99%. Mean circulating TC (− 16.60 [− 32.43, − 0.77]mg/dL; P = 0.04) and HDL (− 0.25[− 0.43, − 0.08]mmol/L; P = 0.005) were significantly lower among OT cases compared to non-OT cases. CONCLUSION: Decreased TC and HDL profiles were observed among subjects with OT in this collection of reports. The implications of TC and HDL in tumour manifestations and growth need to be validated in a large multi-ethnic longitudinal cohort adjusting for relevant confounders. |
format | Online Article Text |
id | pubmed-7068873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70688732020-03-18 Lipid profile and risk of ovarian tumours: a meta-analysis Onwuka, Justina Ucheojor Okekunle, Akinkunmi Paul Olutola, Olaniyi Matthew Akpa, Onoja Matthew Feng, Rennan BMC Cancer Research Article BACKGROUND: Existing data from several reports on the association between lipid profile and ovarian tumour (OT) suggests divergent conclusions. Our aim was to examine whether circulating lipid profile: total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) differed between cases and non-cases of OT. METHODS: Electronic repositories; PUBMED, EMBASE and Cochrane library were explored through December 2019 to retrieve published articles for inclusion in the meta-analysis after quality assessment. Heterogeneity was assessed using I(2) statistics, the effect of individual studies on the overall effect size was tested using sensitivity analysis and funnel plot was used to evaluate publication bias. RESULTS: Twelve studies, involving 1767 OT cases and 229,167 non-cases of OT were included in this meta-analysis and I(2) statistics ranged between 97 and 99%. Mean circulating TC (− 16.60 [− 32.43, − 0.77]mg/dL; P = 0.04) and HDL (− 0.25[− 0.43, − 0.08]mmol/L; P = 0.005) were significantly lower among OT cases compared to non-OT cases. CONCLUSION: Decreased TC and HDL profiles were observed among subjects with OT in this collection of reports. The implications of TC and HDL in tumour manifestations and growth need to be validated in a large multi-ethnic longitudinal cohort adjusting for relevant confounders. BioMed Central 2020-03-12 /pmc/articles/PMC7068873/ /pubmed/32164586 http://dx.doi.org/10.1186/s12885-020-6679-9 Text en © The Author(s). 2020 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 Onwuka, Justina Ucheojor Okekunle, Akinkunmi Paul Olutola, Olaniyi Matthew Akpa, Onoja Matthew Feng, Rennan Lipid profile and risk of ovarian tumours: a meta-analysis |
title | Lipid profile and risk of ovarian tumours: a meta-analysis |
title_full | Lipid profile and risk of ovarian tumours: a meta-analysis |
title_fullStr | Lipid profile and risk of ovarian tumours: a meta-analysis |
title_full_unstemmed | Lipid profile and risk of ovarian tumours: a meta-analysis |
title_short | Lipid profile and risk of ovarian tumours: a meta-analysis |
title_sort | lipid profile and risk of ovarian tumours: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068873/ https://www.ncbi.nlm.nih.gov/pubmed/32164586 http://dx.doi.org/10.1186/s12885-020-6679-9 |
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