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Association about dietary vitamin C intake on the risk of ovarian cancer: a meta-analysis.


ABSTRACT: Changes in dietary vitamin C intake have been related to the risks of various cancers. However, the association between dietary vitamin C intake and the risk of ovarian cancer has not been fully determined. A meta-analysis was performed to evaluate the relationship between vitamin C intake and ovarian cancer risk. Observational studies that evaluated the association between vitamin C intake and ovarian cancer risk were identified via systematic search of PubMed and Embase databases. A random-effect model was used to combine relative risk (RR) with corresponding 95% confidence intervals (CIs). As a result, 16 studies (5 cohort studies and 11 case-control studies) with 4553 cases and 439,741 participants were included. Pooled results showed that dietary vitamin C intake had non-significant association on the risk of ovarian cancer (RR = 0.95, 95%CI = 0.81-1.11, I2 = 52.1%, Pfor heterogeneity = 0.008). Subgroup analyses according to characteristics including geographic location and study design showed consistent results with the overall result. In summary, findings from the present study indicated that dietary vitamin C intake is not associated with the risk of ovarian cancer.

SUBMITTER: Long Y 

PROVIDER: S-EPMC7414517 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Association about dietary vitamin C intake on the risk of ovarian cancer: a meta-analysis.

Long Yuhang Y   Fei Hui H   Xu Sumei S   Wen Jianzhen J   Ye Lihua L   Su Zhaojuan Z  

Bioscience reports 20200801 8


Changes in dietary vitamin C intake have been related to the risks of various cancers. However, the association between dietary vitamin C intake and the risk of ovarian cancer has not been fully determined. A meta-analysis was performed to evaluate the relationship between vitamin C intake and ovarian cancer risk. Observational studies that evaluated the association between vitamin C intake and ovarian cancer risk were identified via systematic search of PubMed and Embase databases. A random-eff  ...[more]

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