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Focus on the RRs and CIs (Relative Risk and Confidence Intervals)—for example: “cranberry products did not significantly reduce the occurrence of symptomatic UTI overall (RR 0.86, 95% CI 0.71 to 1.04)”.
A relative risk lower than 1.0 suggests a reduced risk, while the 95% confidence interval is the range that the real value probably falls within, accounting for potential sampling error, study size, etc.
So an RR of 0.86 suggests that cranberry probably reduces the risk of UTI, but the top of the CI being above 1.0 means the study can’t rule out the chance that cranberry actually increases the risk. It’s that last part that presumably leads them to say that cranberry didn’t reduce the risk significantly.
Okay, that's interesting. Thanks for the thought out response!