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The association between diabetes/hyperglycemia and the prognosis of cervical cancer patients: A systematic review and meta-analysis

BACKGROUND: The predictive roles of diabetes in the prognosis of many types of cancer have been well studied, but its role in predicting the prognosis of cervical cancer is still controversial. The aim of the study is to evaluate the association between diabetes/hyperglycemia and the prognosis of ce...

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Autores principales: Chen, Shu, Tao, Miaomiao, Zhao, Lingqiong, Zhang, Xianquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737993/
https://www.ncbi.nlm.nih.gov/pubmed/28984757
http://dx.doi.org/10.1097/MD.0000000000007981
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author Chen, Shu
Tao, Miaomiao
Zhao, Lingqiong
Zhang, Xianquan
author_facet Chen, Shu
Tao, Miaomiao
Zhao, Lingqiong
Zhang, Xianquan
author_sort Chen, Shu
collection PubMed
description BACKGROUND: The predictive roles of diabetes in the prognosis of many types of cancer have been well studied, but its role in predicting the prognosis of cervical cancer is still controversial. The aim of the study is to evaluate the association between diabetes/hyperglycemia and the prognosis of cervical cancer. METHODS: We conducted a systematic review for peer-reviewed studies indexed in PubMed, Embase, Web of Science, and Wanfang published before December 2016. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were pooled in the meta-analysis. RESULTS: This systematic review identified 13 studies with a total of 11,091 cervical cancer patients, of which 11 studies were included in the meta-analysis. The study indicated that diabetes was related to poorer overall survival (HR = 1.59, 95% CI: 1.35–1.87, P < .001) and poorer recurrence-free survival (HR = 1.98, 95% CI: 1.47–2.66, P < .001) in cervical cancer patients. The meta-analysis of adjusted HRs also indicated that diabetes was independently associated with poor overall survival (HR = 1.69, 95% CI: 1.38–2.05, P < .001) and poor recurrence-free survival (HR = 1.98, 95% CI: 1.47–2.66, P < .001) in cervical cancer patients. Sensitivity analysis and subgroup analyses showed similar results. No significant heterogeneity was observed for the included studies. CONCLUSIONS: The meta-analysis suggests that diabetes is an important predictive factor for cervical cancer prognosis, and it is linked to poorer survival of cervical cancer patients. Diabetes can serve as a useful index in the prognostic evaluation for patients with cervical cancer.
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spelling pubmed-57379932018-01-02 The association between diabetes/hyperglycemia and the prognosis of cervical cancer patients: A systematic review and meta-analysis Chen, Shu Tao, Miaomiao Zhao, Lingqiong Zhang, Xianquan Medicine (Baltimore) 5700 BACKGROUND: The predictive roles of diabetes in the prognosis of many types of cancer have been well studied, but its role in predicting the prognosis of cervical cancer is still controversial. The aim of the study is to evaluate the association between diabetes/hyperglycemia and the prognosis of cervical cancer. METHODS: We conducted a systematic review for peer-reviewed studies indexed in PubMed, Embase, Web of Science, and Wanfang published before December 2016. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were pooled in the meta-analysis. RESULTS: This systematic review identified 13 studies with a total of 11,091 cervical cancer patients, of which 11 studies were included in the meta-analysis. The study indicated that diabetes was related to poorer overall survival (HR = 1.59, 95% CI: 1.35–1.87, P < .001) and poorer recurrence-free survival (HR = 1.98, 95% CI: 1.47–2.66, P < .001) in cervical cancer patients. The meta-analysis of adjusted HRs also indicated that diabetes was independently associated with poor overall survival (HR = 1.69, 95% CI: 1.38–2.05, P < .001) and poor recurrence-free survival (HR = 1.98, 95% CI: 1.47–2.66, P < .001) in cervical cancer patients. Sensitivity analysis and subgroup analyses showed similar results. No significant heterogeneity was observed for the included studies. CONCLUSIONS: The meta-analysis suggests that diabetes is an important predictive factor for cervical cancer prognosis, and it is linked to poorer survival of cervical cancer patients. Diabetes can serve as a useful index in the prognostic evaluation for patients with cervical cancer. Wolters Kluwer Health 2017-10-27 /pmc/articles/PMC5737993/ /pubmed/28984757 http://dx.doi.org/10.1097/MD.0000000000007981 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0
spellingShingle 5700
Chen, Shu
Tao, Miaomiao
Zhao, Lingqiong
Zhang, Xianquan
The association between diabetes/hyperglycemia and the prognosis of cervical cancer patients: A systematic review and meta-analysis
title The association between diabetes/hyperglycemia and the prognosis of cervical cancer patients: A systematic review and meta-analysis
title_full The association between diabetes/hyperglycemia and the prognosis of cervical cancer patients: A systematic review and meta-analysis
title_fullStr The association between diabetes/hyperglycemia and the prognosis of cervical cancer patients: A systematic review and meta-analysis
title_full_unstemmed The association between diabetes/hyperglycemia and the prognosis of cervical cancer patients: A systematic review and meta-analysis
title_short The association between diabetes/hyperglycemia and the prognosis of cervical cancer patients: A systematic review and meta-analysis
title_sort association between diabetes/hyperglycemia and the prognosis of cervical cancer patients: a systematic review and meta-analysis
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737993/
https://www.ncbi.nlm.nih.gov/pubmed/28984757
http://dx.doi.org/10.1097/MD.0000000000007981
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