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ABSTRACT: Objectives
This updated meta-analysis was conducted to assess the association between coffee consumption and breast cancer risk.Methods
We conducted a systematic search updated July 2012 to identify observational studies providing quantitative estimates for breast cancer risk in relation to coffee consumption. Pooled relative risks (RRs) with 95% confidence intervals (CIs) were calculated using a random-effects model, and generalized least square trend estimation was used to assess dose-response relationships.Results
A total of 26 studies (16 cohort and 10 case-control studies) on coffee intake with 49497 breast cancer cases were included in the meta-analysis. The pooled RR showed a borderline significant influence of highest coffee consumption (RR = 0.96; 95% CI 0.93-1.00), low-to moderate coffee consumption (RR = 0.99; 95% CI 0.95-1.04), or an increment of 2 cups/day of coffee consumption (RR = 0.98; 95% CI 0.97-1.00) on the risk of breast cancer. In stratified analysis, a significant inverse association was observed in ER-negative subgroup. However, no significant association was noted in the others.Conclusions
Our findings suggest that increased coffee intake is not associated with a significantly reduced risk of breast cancer, but we observe an inverse association in ER-negative subgroup analysis. More large studies are needed to determine subgroups to obtain more valuable data on coffee drinking and breast cancer risk.
SUBMITTER: Li XJ
PROVIDER: S-EPMC3537715 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature
Li Xiu Juan XJ Ren Zhao Jun ZJ Qin Jian Wei JW Zhao Jian Hua JH Tang Jin Hai JH Ji Ming Hua MH Wu Jian Zhong JZ
PloS one 20130104 1
<h4>Objectives</h4>This updated meta-analysis was conducted to assess the association between coffee consumption and breast cancer risk.<h4>Methods</h4>We conducted a systematic search updated July 2012 to identify observational studies providing quantitative estimates for breast cancer risk in relation to coffee consumption. Pooled relative risks (RRs) with 95% confidence intervals (CIs) were calculated using a random-effects model, and generalized least square trend estimation was used to asse ...[more]