Fruit and vegetable intake and liver cancer risk: a meta-analysis of prospective cohort studies

2019 ◽  
Vol 10 (8) ◽  
pp. 4478-4485 ◽  
Author(s):  
Xiao-fei Guo ◽  
Xian-feng Shao ◽  
Jiao-mei Li ◽  
Shan Li ◽  
Ke-lei Li ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Vegetable Intake ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Fruit And Vegetable Intake ◽  
Fruit Intake ◽  
Prospective Cohort Studies

The associations of vegetable and fruit intake with liver cancer risk have been inconsistent based on epidemiological studies.

Green tea and liver cancer risk: A meta-analysis of prospective cohort studies in Asian populations

Nutrition ◽  
2016 ◽  
Vol 32 (1) ◽  
pp. 3-8 ◽  
Author(s):  
Ya-Qing Huang ◽  
Xin Lu ◽  
Han Min ◽  
Qian-Qian Wu ◽  
Xiao-Ting Shi ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Green Tea ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Prospective Cohort Studies ◽  
Asian Populations

scholarly journals Dairy consumption and CVD: a systematic review and meta-analysis

2016 ◽  
Vol 115 (4) ◽  
pp. 737-750 ◽  
Author(s):  
Dominik D. Alexander ◽  
Lauren C. Bylsma ◽  
Ashley J. Vargas ◽  
Sarah S. Cohen ◽  
Abigail Doucette ◽  
...  
Keyword(s):  
Cohort Studies ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Sensitivity Analyses ◽  
Dairy Intake ◽  
Prospective Cohort Studies ◽  
Dairy Consumption ◽  
Risk Estimates

AbstractInverse associations between dairy consumption and CVD have been reported in several epidemiological studies. Our objective was to conduct a meta-analysis of prospective cohort studies of dairy intake and CVD. A comprehensive literature search was conducted to identify studies that reported risk estimates for total dairy intake, individual dairy products, low/full-fat dairy intake, Ca from dairy sources and CVD, CHD and stroke. Random-effects meta-analyses were used to generate summary relative risk estimates (SRRE) for high v. low intake and stratified intake dose–response analyses. Additional dose–response analyses were performed. Heterogeneity was examined in sub-group and sensitivity analyses. In total, thirty-one unique cohort studies were identified and included in the meta-analysis. Several statistically significant SRRE below 1.0 were observed, namely for total dairy intake and stroke (SRRE=0·91; 95 % CI 0·83, 0·99), cheese intake and CHD (SRRE=0·82; 95 % CI 0·72, 0·93) and stroke (SRRE=0·87; 95 % CI 0·77, 0·99), and Ca from dairy sources and stroke (SRRE=0·69; 95 % CI 0·60, 0·81). However, there was little evidence for inverse dose–response relationships between the dairy variables and CHD and stroke after adjusting for within-study covariance. The results of this meta-analysis of prospective cohort studies have shown that dairy consumption may be associated with reduced risks of CVD, although additional data are needed to more comprehensively examine potential dose–response patterns.

scholarly journals Associations of Whole Grain and Refined Grain Consumption With Metabolic Syndrome. A Meta-Analysis of Observational Studies

2021 ◽  
Vol 8 ◽  
Author(s):  
Hongbin Guo ◽  
Jun Ding ◽  
Jieyu Liang ◽  
Yi Zhang
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Observational Studies ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Whole Grain ◽  
Cross Sectional ◽  
Prospective Cohort Studies ◽  
Embase Database

Background: The associations of whole grain and refined grain consumption with metabolic syndrome (MetS) has been evaluated in several epidemiological studies with conflicting results. This meta-analysis was therefore employed to further investigate the above associations.Method: We searched the PubMed, Web of Science and Embase database until March 2021 (without restriction for inclusion time), for observational studies on the associations of whole grain and refined grain consumption with MetS. The pooled relative risk (RR) of MetS for the highest vs. lowest category of whole grain and refined grain consumption, as well as their corresponding 95% confidence interval (CI) were calculated.Results: A total of 14 observational studies, which involved seven cross-sectional and seven prospective cohort studies, were identified. Specifically, nine studies were related to whole grain consumption, and the overall multi-variable adjusted RR demonstrated that the whole grain consumption was inversely associated with MetS (RR = 0.80, 95%CI: 0.67–0.97; P = 0.021). With regard to refined grain consumption, 13 studies were included. The overall multi-variable adjusted RR indicated that refined grain consumption was positively associated with MetS (RR = 1.37, 95%CI: 1.02–1.84; P = 0.036).Conclusions: The existing evidence suggests that whole grain consumption is negatively associated with MetS, whereas refined grain consumption is positively associated with MetS. Our result might be helpful to better consider the diet effect on MetS. However, more well-designed prospective cohort studies are needed to elaborate the concerned issues further.

scholarly journals Association between Sleep Duration and Cancer Risk: A Meta-Analysis of Prospective Cohort Studies

PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e74723 ◽  
Author(s):  
Yan Lu ◽  
Nong Tian ◽  
Jie Yin ◽  
Yuhua Shi ◽  
Zhenping Huang
Keyword(s):  
Cancer Risk ◽  
Cohort Studies ◽  
Sleep Duration ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Prospective Cohort Studies

scholarly journals Blood DNA methylation and breast cancer risk: a meta-analysis of four prospective cohort studies

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Clara Bodelon ◽  
Srikant Ambatipudi ◽  
Pierre-Antoine Dugué ◽  
Annelie Johansson ◽  
Joshua N. Sampson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Dna Methylation ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Blood Collection ◽  
Prospective Cohort Studies ◽  
Average Methylation

Abstract Background Environmental and genetic factors play an important role in the etiology of breast cancer. Several small blood-based DNA methylation studies have reported risk associations with methylation at individual CpGs and average methylation levels; however, these findings require validation in larger prospective cohort studies. To investigate the role of blood DNA methylation on breast cancer risk, we conducted a meta-analysis of four prospective cohort studies, including a total of 1663 incident cases and 1885 controls, the largest study of blood DNA methylation and breast cancer risk to date. Methods We assessed associations with methylation at 365,145 CpGs present in the HumanMethylation450 (HM450K) Beadchip, after excluding CpGs that did not pass quality controls in all studies. Each of the four cohorts estimated odds ratios (ORs) and 95% confidence intervals (CI) for the association between each individual CpG and breast cancer risk. In addition, each study assessed the association between average methylation measures and breast cancer risk, adjusted and unadjusted for cell-type composition. Study-specific ORs were combined using fixed-effect meta-analysis with inverse variance weights. Stratified analyses were conducted by age at diagnosis (< 50, ≥ 50), estrogen receptor (ER) status (+/−), and time since blood collection (< 5, 5–10, > 10 years). The false discovery rate (q value) was used to account for multiple testing. Results The average age at blood draw ranged from 52.2 to 62.2 years across the four cohorts. Median follow-up time ranged from 6.6 to 8.4 years. The methylation measured at individual CpGs was not associated with breast cancer risk (q value > 0.59). In addition, higher average methylation level was not associated with risk of breast cancer (OR = 0.94, 95% CI = 0.85, 1.05; P = 0.26; P for study heterogeneity = 0.86). We found no evidence of modification of this association by age at diagnosis (P = 0.17), ER status (P = 0.88), time since blood collection (P = 0.98), or CpG location (P = 0.98). Conclusions Our data indicate that DNA methylation measured in the blood prior to breast cancer diagnosis in predominantly postmenopausal women is unlikely to be associated with substantial breast cancer risk on the HM450K array. Larger studies or with greater methylation coverage are needed to determine if associations exist between blood DNA methylation and breast cancer risk.

scholarly journals Coffee consumption is not associated with ovarian cancer risk: a dose-response meta-analysis of prospective cohort studies

Oncotarget ◽  
2018 ◽  
Vol 9 (29) ◽  
pp. 20807-20815 ◽  
Author(s):  
Massimiliano Berretta ◽  
Agnieszka Micek ◽  
Alessandra Lafranconi ◽  
Sabrina Rossetti ◽  
Raffaele Di Francia ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Coffee Consumption ◽  
Ovarian Cancer Risk ◽  
Prospective Cohort Studies
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