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Coffee consumption and risk of breast cancer: an up-to-date meta-analysis.

AbstractOBJECTIVES:
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.
AuthorsXiu Juan Li, Zhao Jun Ren, Jian Wei Qin, Jian Hua Zhao, Jin Hai Tang, Ming Hua Ji, Jian Zhong Wu
JournalPloS one (PLoS One) Vol. 8 Issue 1 Pg. e52681 ( 2013) ISSN: 1932-6203 [Electronic] United States
PMID23308117 (Publication Type: Journal Article, Meta-Analysis, Research Support, Non-U.S. Gov't)
Chemical References
  • Coffee
  • Receptors, Estrogen
Topics
  • Breast Neoplasms (etiology)
  • Case-Control Studies
  • Coffee
  • Cohort Studies
  • Female
  • Humans
  • Receptors, Estrogen (analysis)
  • Risk Factors

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