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Meta-Analysis
. 2017 Jun 6;8(23):37796-37806.
doi: 10.18632/oncotarget.16890.

Tea consumption and the risk of ovarian cancer: A meta-analysis of epidemiological studies

Xin Zhan  1 , Jie Wang  2 , Shufen Pan  3 , Caijuan Lu  1
Affiliations
Meta-Analysis

Tea consumption and the risk of ovarian cancer: A meta-analysis of epidemiological studies

Xin Zhan et al. Oncotarget. .

Abstract

A large number of epidemiological studies have provided conflicting results about the relationship between tea consumption and ovarian cancer. This study aimed to clarify the association between tea consumption and ovarian cancer. A literature search of the MEDICINE, Scopus, PubMed, and Web of Science databases was performed in April 2016. A total of 18 (11 case-control and 7 cohort) studies, representing data for 701,857 female subjects including 8,683 ovarian cancer cases, were included in the meta-analysis. A random-effects meta-analysis was used to compute the pooled relative risks (RR), meta regression, and publication bias, and heterogeneity analyses were performed for the included trials. We found that tea consumption had a significant protective effect against ovarian cancer (relative risk [RR] = 0.86; 95% confidence interval [CI]: 0.76, 0.96). The relationship was confirmed particularly after adjusting for family history of cancer (RR = 0.85; 95% CI: 0.72, 0.97), menopause status (RR = 0.85; 95% CI: 0.72, 0.98), education (RR = 0.82; 95% CI: 0.68, 0.96), BMI (RR = 0.85; 95% CI: 0.70, 1.00) , smoking (RR = 0.83; 95% CI: 0.72, 0.93) and Jadad score of 3 (RR = 0.76; 95% CI: 0.56, 0.95) and 5 (RR = 0.74; 95% CI: 0.59, 0.89). The Begg's and Egger's tests (all P > 0.01) showed no evidence of publication bias. In conclusion, our meta-analysis showed an inverse association between tea consumption and ovarian cancer risk. High quality cohort-clinical trials should be conducted on different tea types and their relationship with ovarian cancer.

Keywords: meta-analysis; ovarian cancer; tea.

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Conflict of interest statement

CONFLICTS OF INTEREST

The authors report no conflicts of interests. We confirm that none of the authors are related to authors of studies included in the meta-analysis.

Figures

Figure 1
Figure 1. Search strategy and selection of studies
Figure 2
Figure 2. Forest plot of studies evaluating the association between tea consumption and risk of ovarian cancer, ES: effect size
Figure 3
Figure 3. Sensitivity analysis of tea consumption and risk of ovarian cancer showing that omission of any study did not alter the observed effect
Figure 4
Figure 4
(A, B)Meta-regulation of study design and risk of ovarian cancer showing that study design was associated with a 47.90% heterogeneity reduction across the studies, and geographical region was associated with a 44.60% heterogeneity reduction across the studies.
Figure 5
Figure 5. Begger's funnel plot assessing publication bias among the studies
Figure 6
Figure 6. Egger's funnel plot assessing publication bias among the studies
See this image and copyright information in PMC

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