UNASSIGNED: The results from epidemiological studies between dietary @entity904 intake and @entity11 risk is not consistent. Thus, a meta-analysis was conducted to confirm the exact relationship between them. PubMed and Web of Knowledge were used to search the relevant articles up to May 2015. Pooled relative risk (RR) with 95% confidence interval (CI)was calculated using random-effect model. Egger's test was used to assess the small-study effect. At the end, seven articles with eight case-control studies involving 1841 @entity11 cases and 4123 @entity1 were included. Our study indicated that highest category of dietary @entity904 intake was significantly associated with reduced risk of @entity11 (RR = 0.80, 95% CI = 0.62-0.98, p = 0.014, I   = 54.9%). Egger's test did not find any publication bias. In conclusion, our study indicated that higher category of dietary @entity904 intake could reduce the @entity11 risk. However, we could not do a dose-response analysis for @entity904 intake with @entity11 risk due to the limited data in each reported individual article. Due to this limitation, further studies with detailed dose, cases and @entity1 -years for each category is wanted to assess this dose-response association.

Association between Dietary XXXX Intake and the Risk of Glioma: Evidence from a Meta-analysis.

@entity11 :: ('MESH:D005910', 'Disease') :: ['glioma'] @entity1 :: ('9606', 'Species') :: ['participants', 'person'] @entity904 :: ('MESH:D014801', 'Chemical') :: ['vitamin A']
@entity904 :: (MESH:D014801,Chemical) :: ['Vitamin A']
