2013
DOI: 10.1038/ejcn.2013.256
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: Case-control studies especially HCC ones might be prone to selection bias and recall bias that might have contributed to the conflicting results. Therefore, the present meta-analysis suggests a borderline significant inverse association between coffee consumption and prostate cancer risk based on cohort studies.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

1
19
1

Year Published

2014
2014
2024
2024

Publication Types

Select...
3
3

Relationship

0
6

Authors

Journals

citations
Cited by 17 publications
(21 citation statements)
references
References 45 publications
1
19
1
Order By: Relevance
“…A pooled RR of 0.90 (95% CI ¼ 0.84-0.97) was observed when reanalyzing the data coming from the cohort studies using a random-effects model. This estimate suggests a weaker inverse association between coffee consumption and PCa risk as compared with what observed by Zhong et al 1…”
contrasting
confidence: 66%
See 4 more Smart Citations
“…A pooled RR of 0.90 (95% CI ¼ 0.84-0.97) was observed when reanalyzing the data coming from the cohort studies using a random-effects model. This estimate suggests a weaker inverse association between coffee consumption and PCa risk as compared with what observed by Zhong et al 1…”
contrasting
confidence: 66%
“…The meta-analysis on prostate cancer mortality suffers from the same issue: in our study, the crude RR for high coffee drinkers (X6 cups per day) compared with nondrinkers (RR ¼ 0.36 (95% CI ¼ 0.20-0.64)) was very different from the multivariable-adjusted RR calculated, for example, using the Hamling method from the published results (RR ¼ 0.71 (95% CI ¼ 0.40-1.25)). Again, the pooled RR form a random-effects model suggested a weaker association between coffee consumption and fatal PCa (RR ¼ 0.71 (95% CI ¼ 0.54-0.94)) as compared with what observed by Zhong et al 1 (RR ¼ 0.61 (95% CI ¼ 0.42-0.90)). A 29% reduction in PCa mortality when comparing the highest with the lowest coffee consumption category (mean range ¼ 8 cups per day) is consistent with a RR of 0.89 for every three cups per day increase in coffee consumption that we observed in a recent dose-response meta-analysis 7 (exp(ln(0.89)/3*8) ¼ 0.73).…”
mentioning
confidence: 47%
See 3 more Smart Citations