Coffee and caffeine intake and risk of ovarian cancer: a systematic review and meta-analysis

2019 ◽  
Vol 29 (3) ◽  
pp. 579-584 ◽  
Author(s):  
Fateme Shafiei ◽  
Asma Salari-Moghaddam ◽  
Alireza Milajerdi ◽  
Bagher Larijani ◽  
Ahmad Esmaillzadeh
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Meta Analysis ◽  
Coffee Consumption ◽  
Effect Sizes ◽  
Caffeine Intake ◽  
Case Control Studies ◽  
Coffee Intake ◽  
Decaffeinated Coffee ◽  
Caffeinated Coffee

BackgroundResults from earlier publications on the association of coffee and caffeine and risk of ovarian cancer are inconsistent.ObjectiveTo evaluate the link between coffee, caffeine, caffeinated coffee, and decaffeinated coffee consumption and risk of ovarian cancer.MethodsWe searched PubMed/Medline, ISI Web of Science, Scopus, and Google Scholar to identify relevant publications up to April 2018. All case–control studies that considered coffee, caffeine, caffeinated coffee, or decaffeinated coffee as the exposure variables and ovarian cancer as the main outcome variable or as one of the outcomes were included in the systematic review. Publications in which odds ratios (ORs) or rate or risk ratios (RRs) and 95% confidence intervals (CIs) were reported, were included in the meta-analysis.ResultsA total of 22 case–control studies were included in the systematic review, and 20 studies in the meta-analysis. Overall, 40 140 participants, including 8568 patients with ovarian cancer, aged ≥ 17 years were included. Combining 21 effect sizes from 18 studies, no significant association was observed between total coffee intake and risk of ovarian cancer (OR=1.09; 95% CI 0.94 to 1.26). There was no significant association between total caffeine intake and ovarian cancer risk (OR=0.89; 95% CI 0.55 to 1.45). In addition, caffeinated coffee intake was not significantly associated with ovarian cancer (OR=1.05; 95% CI 0.87 to 1.28). However, combining effect sizes from five studies, we found an inverse significant association between decaffeinated coffee intake and risk of ovarian cancer (OR=0.72; 95% CI 0.58 to 0.90).ConclusionsOur findings indicated an inverse association between decaffeinated coffee consumption and risk of ovarian cancer. No significant association was found between coffee, caffeine or caffeinated coffee intake and risk of ovarian cancer.

Does coffee, tea and caffeine consumption reduce the risk of incident breast cancer? A systematic review and network meta-analysis

2021 ◽  
pp. 1-13
Author(s):  
Shu Wang ◽  
Xiang Li ◽  
Yue Yang ◽  
Jingping Xie ◽  
Mingyue Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Postmenopausal Women ◽  
Meta Analysis ◽  
High Dose ◽  
Dependent Manner ◽  
Tea Consumption ◽  
Case Control Studies ◽  
High Concentration ◽  
Coffee Intake

Abstract Objective: We aimed to evaluate the association between coffee and/or tea consumption and breast cancer (BC) risk among premenopausal and postmenopausal women and to conduct a network meta-analysis. Design: Systematic review and network meta-analysis. Setting: We conducted a systematic review of electronic publications in the last 30 years to identify case–control studies or prospective cohort studies that evaluated the effects of coffee and tea intake. Results: Forty-five studies that included more than 3 323 288 participants were eligible for analysis. Network meta-analysis was performed to determine the effects of coffee and/or tea consumption on reducing BC risk in a dose-dependent manner and differences in coffee/tea type, menopause status, hormone receptor and the BMI in subgroup and meta-regression analyses. According to the first pairwise meta-analysis, low-dose coffee intake and high-dose tea intake may exhibit efficacy in preventing ER(estrogen receptor)− BC, particularly in postmenopausal women. Then, we performed another pairwise and network meta-analysis and determined that the recommended daily doses were 2–3 cups/d of coffee or ≥5 cups/d of tea, which contained a high concentration of caffeine, particularly in postmenopausal women. Conclusions: Coffee and tea consumption is not associated with a reduction in the overall BC risk in postmenopausal women and is associated with a potentially lower risk of ER− BC. And the highest recommended dose is 2–3 cups of coffee/d or ≥5 cups of tea/d. They are potentially useful dietary protectants for preventing BC.

scholarly journals Metabolomic signatures of long-term coffee consumption and risk of type 2 diabetes in women

2020 ◽  
Author(s):  
Dong Hang ◽  
Oana A. Zeleznik ◽  
Xiaosheng He ◽  
Marta Guasch-Ferre ◽  
Xia Jiang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Coffee Consumption ◽  
Diabetes Risk ◽  
Health Study ◽  
Plasma Metabolites ◽  
Case Control Studies ◽  
Coffee Intake ◽  
Decaffeinated Coffee ◽  
Prediction Of Diabetes

<b>Objective:</b> Coffee may protect against multiple chronic diseases, particularly type 2 diabetes, but the mechanisms remain unclear. <p><b>Research Design and Methods: </b>Leveraging dietary and metabolomic data in two large cohorts of women (the Nurses’ Health Study I and II), we identified and validated plasma metabolites associated with coffee intake in 1595 women. We then evaluated the prospective association of coffee-related metabolites with diabetes risk and the added predictivity of these metabolites for diabetes in two nested case-control studies (n=457 cases and 1371 controls). </p> <p><b>Results: </b>Of 461 metabolites, 34 were identified and validated to be associated with total coffee intake, including 13 positive associations (primarily trigonelline, polyphenol metabolites, and caffeine metabolites) and 21 inverse associations (primarily triacylglycerols and diacylglycerols). These associations were generally consistent for caffeinated and decaffeinated coffee, except for caffeine and its metabolites that were only associated with caffeinated coffee intake. The three cholesteryl esters positively associated with coffee intake showed inverse associations with diabetes risk, whereas the 12 metabolites negatively associated with coffee (five diacylglycerols and seven triacylglycerols) showed positive associations with diabetes. Adding the 15 diabetes-associated metabolites to classical risk factors-based prediction model increased the C-statistic from 0.79 (95% CI: 0.76, 0.83) to 0.83 (95% CI: 0.80, 0.86) (<i>P</i><0.001). Similar improvement was observed in the validation set.</p> <p><b>Conclusion: </b>Coffee consumption is associated with widespread metabolic changes, among which lipid metabolites may be critical for the anti- diabetes benefit of coffee. Coffee-related metabolites might help improve prediction of diabetes, but further validation studies <a>are </a>needed.</p>

scholarly journals Caffeine, Coffee, Tea and Risk of Rheumatoid Arthritis: Systematic Review and Dose- Response Meta-analysis of Prospective Cohort Studies

2021 ◽  
Author(s):  
Farzaneh Asoudeh ◽  
Fatemeh Dashti ◽  
Ahmad Jayedi ◽  
Amirhossein Hemmati ◽  
Abdulmannan Fadel ◽  
...  
Keyword(s):  
Cohort Studies ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Caffeine Intake ◽  
Prospective Cohort Studies ◽  
Increased Risk ◽  
Different Types ◽  
Decaffeinated Coffee ◽  
Caffeinated Coffee

Abstract Objective: Prospective cohort studies on coffee, tea and caffeine in relation to the risk of rheumatoid arthritis (RA) have shown conflicting results. The aim of this study was to conduct a dose–response meta-analysis of cohort studies on the association between dietary caffeine, different types of coffee and tea consumption and the risk of RA.Methods: PubMed/Medline, Scopus and EMBASE were searched up to July 2021 to identify relevant studies that had considered different types of coffee (caffeinated or decaffeinated), tea or caffeine exposure with RA as the main, or one of the, outcome(s). Two authors independently screened 742 publications. Finally, 5 prospective cohort studies were included in our meta-analysis. Pooled relative risks (RRs) were calculated by using a fixed-effects model. We also performed linear and non-linear dose-response analyses to examine the dose-response relations. Results: Comparing extreme categories, we found a positive, significant association between coffee (RR: 1.30; 95% CI: 1.04-1.62; I2 = 0%, n = 5) and decaffeinated coffee (RR: 1.89; 95% CI: 1.35-2.65; I2 =38.1%, n =3) consumption and risk of RA. One additional cup of coffee consumed per day was associated with an increased risk of RA by 6% (95% CI: 1.02-1.10; I2 = 0%;). This increase in the risk of RA for one cup/d of decaffeinated coffee was 11% 95% CI: 1.05-1.18; I2 = 38). No significant association was observed between caffeinated coffee, tea or caffeine intake and the risk of RA.Conclusion: We found that a higher intake of coffee and decaffeinated coffee was associated with increased risk of RA. No significant association between caffeinated coffee, tea or caffeine intake and the risk of RA was observed.

scholarly journals Relationship between caffeine intake and infertility: a systematic review of controlled clinical studies

2020 ◽  
Author(s):  
Bu Fanlong ◽  
Xue Feng ◽  
Xiao-Ying Yang ◽  
Jun Ren ◽  
Hui-juan Cao
Keyword(s):  
Systematic Review ◽  
Cohort Study ◽  
Clinical Studies ◽  
Meta Analysis ◽  
Case Control ◽  
Average Score ◽  
Caffeine Intake ◽  
High Dose ◽  
Case Control Studies ◽  
High Doses

Abstract Background: Previous studies showed that high dose of caffeine intake may induce some specific human reproductive system diseases, even lead to infertility. This review is aimed to systematically review the evidence from all controlled clinical studies of caffeine intake for infertility.Methods: Relevant randomized/quasi-randomized controlled trials, non-randomized clinical studies, cohort studies, and case-control studies were included. Participants were either those without a history of infertility who are willing to have a baby (for prospective studies) or infertile patients with confirmed diagnosis (for retrospective studies). Caffeine or caffeine-containing beverage was observed as the exposure factor. The key outcome was the diagnosis of infertility.Results: Four studies (one cohort study and three case-control studies) involving 12912 participants were included. According Newcastle - Ottawa Scale (NOS), the average score of case-control studies was 6, and the cohort study achieved 9. Meta-analysis and subgroup analysis were conducted. The results showed that low (OR 0.95, 95%CI 0.78-1.16), medium (OR 1.14, 95%CI 0.69-1.86) and high doses (OR 1.86, 95%CI 0.28-12.22) of caffeine intake may not increase the risk of infertility. The GRADE method was used to assess the certainty of the evidence and the results showed that the quality of the three evidence bodies were all low.Conclusion: Our study provides low quality evidence that regardless of low, medium and high doses of caffeine intake do not appear increase the risk of infertility. But the conclusion should be treated with caution. Systematic review registration: PROSPERO CRD42015015714

scholarly journals The Association between Coffee and Caffeine Consumption and Renal Function: Insight from Individual-Level Data, Mendelian Randomization, and Meta-Analysis

2021 ◽  
Author(s):  
Mohsen Mazidi ◽  
Abbas Dehghan ◽  
Dimitri Mikhailidis ◽  
Jacek Jóźwiak ◽  
Adrian Covic ◽  
...  
Keyword(s):  
Renal Function ◽  
Mendelian Randomization ◽  
Meta Analysis ◽  
Coffee Consumption ◽  
Caffeine Intake ◽  
Diabetic Patients ◽  
Caffeine Consumption ◽  
Coffee Intake ◽  
Level Data ◽  
Significant Difference

IntroductionBy applying on two-sample Mendelian randomization and systematic review and meta-analysis we investigated the association between caffeine and coffee intake with prevalent CKD and markers of renal function.Material and methodsFor the individual data analysis we analysed the NHANES data on renal function markers and caffeine intake. MR was implemented by using summary-level data from the largest ever GWAS conducted on coffee intake (N=91,462) and kidney function.ResultsFinally, we included the data of 18,436 participants, 6.9% had prevalent CKD (based on eGFR). Caffeine intake for general population was 131.1±1.1 mg. The percentage of participants with CKD, by caffeine quartile was 16.6% in the first (lowest) quartile, 13.9% in the second, 12.2% in the third and 11.0% in the top quartile (p<0.001). After adjustment, for increasing quartiles for caffeine consumption, mean urine albumin, albumin-creatinine ratio and estimated glomerular filtration rate (GFR) did not change significantly (p>0.234). In fully adjusted logistic regression models, there was no significant difference in chances of CKD prevalence (p-trend=0.745). In the same line, results of MR showed no impact of coffee intake on CKD (IVW=β: -0.0191, SE: 0.069, p=0.781), on eGFR (overall= IVW= β: -0.0005, SE: 0.005, p=0.926) both in diabetic (IVW= β: -0.006, SE: 0.009, p=0.478), and non-diabetic patients (IVW= β: -6.772, SE: 0.006, p=0.991). Results from the meta-analysis indicted that coffee consumption was not significantly associated with CKD (OR: 0.85, 95%CI 0.71-1.02, p=0.090, n=6 studies, I2=0.32).ConclusionsBy implementing on different strategies, we have highlighted no significant association between coffee consumption with renal function and chance of CKD.

scholarly journals Caffeine, Type of Coffee, and Risk of Ovarian Cancer: A Dose–Response Meta-Analysis of Prospective Studies

2019 ◽  
Vol 104 (11) ◽  
pp. 5349-5359 ◽  
Author(s):  
Asma Salari-Moghaddam ◽  
Alireza Milajerdi ◽  
Pamela J Surkan ◽  
Bagher Larijani ◽  
Ahmad Esmaillzadeh
Keyword(s):  
Ovarian Cancer ◽  
Cohort Studies ◽  
Dose Response ◽  
Prospective Studies ◽  
Meta Analysis ◽  
Coffee Consumption ◽  
Outcome Variable ◽  
Caffeine Intake ◽  
Ovarian Cancer Risk ◽  
Different Types

Abstract Context Prospective studies on caffeine and different types of coffee intake in relation to the risk of ovarian cancer have shown conflicting results. Objective The aim of the present study was to perform a dose–response meta-analysis of cohort studies on the association between dietary caffeine intake, different types of coffee consumption, and the risk of ovarian cancer. Data sources PubMed/Medline, ISI Web of Science, Scopus, and EMBASE were searched to identify relevant studies reported until October 2018. Study selection Prospective cohort studies that had considered caffeine or different types of coffee as the exposure variable and ovarian cancer as the main outcome variable or as one of the outcome variables were included in our systematic review and meta-analysis. Two of us independently screened 9344 publications. A total of 14 cohort studies were included in the meta-analysis. Data extraction Two of us independently extracted the data. Any disagreements were resolved in consultation with the principal investigator. Results Combining 13 effect sizes, we found no substantial association between coffee consumption and risk of ovarian cancer [risk ratio (RR), 1.08; 95% CI, 0.89 to 1.33]. Also, one additional cup daily of coffee consumption was marginally associated with an increased risk of ovarian cancer (RR, 1.02; 95% CI, 0.99 to 1.05; P = 0.21; I2 = 0.0%; Pheterogeneity = 0.68). No statistically significant association was observed between caffeine intake or caffeinated or decaffeinated coffee consumption and the risk of ovarian cancer. Conclusions We found no statistically significant association between caffeine intake or different types of coffee and the risk of ovarian cancer.

scholarly journals Association of Coffee, Decaffeinated Coffee and Caffeine Intake from Coffee with Cognitive Performance in Older Adults: National Health and Nutrition Examination Survey (NHANES) 2011–2014.

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 840 ◽  
Author(s):  
Xue Dong ◽  
Shiru Li ◽  
Jing Sun ◽  
Yan Li ◽  
Dongfeng Zhang
Keyword(s):  
Older Adults ◽  
Cognitive Performance ◽  
National Health ◽  
Test Score ◽  
Coffee Consumption ◽  
Caffeine Intake ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Decaffeinated Coffee ◽  
Caffeinated Coffee

The aim of this study was to examine the association of coffee, caffeinated coffee, decaffeinated coffee and caffeine intake from coffee with cognitive performance in older adults. we used data from the National Health and Nutrition Examination Survey (NHANES) 2011–2014. Coffee and caffeine intake were obtained through two 24-hour dietary recalls. Cognitive performance was evaluated by the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) test, Animal Fluency test and Digit Symbol Substitution Test (DSST). Binary logistic regression and restricted cubic spline models were applied to evaluate the association of coffee and caffeine intake with cognitive performance. A total of 2513 participants aged 60 years or older were included. In the fully adjusted model, compared to those reporting no coffee consumption, those who reported 266.4–495 (g/day) had a multivariate adjusted odd ratio (OR) with 95% confidence interval (CI) of 0.56(0.35–0.89) for DSST test score, compared to those reporting no caffeinated coffee consumption, those who reported ≥384.8 (g/day) had a multivariate-adjusted OR (95% CI) of 0.68(0.48–0.97) for DSST test score, compared to the lowest quartile of caffeine intake from coffee, the multivariate adjusted OR (95% CI) of the quartile (Q) three was 0.62(0.38–0.98) for the CERAD test score. L-shaped associations were apparent for coffee, caffeinated coffee and caffeine from coffee with the DSST test score and CERAD test score. No significant association was observed between decaffeinated coffee and different dimensions of cognitive performance. Our study suggests that coffee, caffeinated coffee and caffeine from coffee were associated with cognitive performance, while decaffeinated coffee was not associated with cognitive performance.

scholarly journals Coffee Consumption and Risk of Colorectal Cancer: A Systematic Review and Meta-Analysis of Prospective Studies

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 694 ◽  
Author(s):  
Marina Sartini ◽  
Nicola Bragazzi ◽  
Anna Spagnolo ◽  
Elisa Schinca ◽  
Gianluca Ottria ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Systematic Review ◽  
Protective Effect ◽  
Prospective Studies ◽  
Meta Analysis ◽  
Coffee Consumption ◽  
Men And Women ◽  
Decaffeinated Coffee ◽  
The Impact ◽  
The Relationship

Coffee is a blend of compounds related to gastrointestinal physiology. Given its popularity and the epidemiology of colorectal cancer, the impact of this beverage on public health could be considerable. Our aim was to provide an updated synthesis of the relationship between coffee consumption and the risk of colorectal cancer. We conducted a systematic review and meta-analysis of 26 prospective studies. Regarding colorectal cancer, no significant relationship was detected. Stratifying for ethnicity, a protective effect emerged in US subjects. Concerning colon cancer, coffee proved to exert a protective effect in men and women combined and in men alone. Stratifying for ethnicity, a significant protective effect was noted in European men only and in Asian women only. Concerning rectal cancer, no association was found. Decaffeinated coffee exhibited a protective effect against colorectal cancer in men and women combined. Studies were appraised for their quality by means of the Newcastle-Ottawa Quality Assessment Scale for Cohort studies. Only one study proved to be of low quality. Ethnicity could explain the heterogeneity of the studies. However, little is known about the relationship between the genetic make-up and the risk of colorectal cancer associated with coffee. Further research is warranted.

P5313The association between coffee and caffeine consumption and renal function: insight from individual-level data, Mendelian randomization, and meta-analysis

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Mazidi ◽  
D P Mikhailidis ◽  
A Dehghan ◽  
J Jozwiak ◽  
J Rysz ◽  
...  
Keyword(s):  
Renal Function ◽  
Mendelian Randomization ◽  
Meta Analysis ◽  
Coffee Consumption ◽  
Caffeine Intake ◽  
Caffeine Consumption ◽  
Coffee Intake ◽  
Urine Albumin ◽  
Level Data ◽  
Inverse Variance

Abstract Background The reported relationship between coffee intake and renal function is poorly understood. Purpose By applying on two-sample Mendelian randomization (MR) and systematic review and meta-analysis we investigated the association between caffeine and coffee intake with prevalent CKD and markers of renal function. Methods For the individual data analysis we analysed the NHANES data on renal function markers and caffeine intake. MR was implemented by using summary-level data from genome-wide association studies conducted on coffee intake (N=91,462) and kidney function (N=133,413). Inverse variance weighted method (IVW), weighted median-based method, MR-Egger, MR-RAPS, MR-PRESSO were applied. Random effects models and generic inverse variance methods were used for the meta-analysis. Results Finally, we included the data of 18,436 participants, 6.9% had prevalent CKD (based on eGFR). Caffeine intake for general population was 131.1±1.1 mg. The % of pts. with CKD, by caffeine quartile was 16.6% in Q1 (lowest), 13.9% in Q2, 12.2% in Q3 and 11.0% in Q4 (p<0.001). After adjustment, for increasing quartiles for caffeine consumption, mean urine albumin, albumin-creatinine ratio and eGFR did not change significantly (p>0.234). In fully adjusted logistic regression models, there was no significant difference in chances of CKD prevalence (p-trend=0.745) (Table). In the same line, results of MR showed no impact of coffee intake on CKD (IVW=β: −0.0191, SE: 0.069, p=0.781) (Figure), on eGFR (overall= IVW= β: −0.0005, SE: 0.005, p=0.926) both in diabetic (IVW= β: −0.006, SE: 0.009, p=0.478), and non-diabetic patients (IVW= β: −6.772, SE: 0.006, p=0.991). Results from the meta-analysis indicted that coffee consumption was not significantly associated with CKD (OR: 0.85, 95% CI 0.71–1.02, p=0.090, n=6 studies, I2=0.32). These findings were robust in sensitivity analyses. Levels of CKD markers across caffeine Qs Characteristics Quartiles of Caffeine p-value First Second Third Fourth Number of participants (n) 4609 4611 4608 4608 Log Urine Albumin (mg/L) 2.20±0.02 2.16±0.02 2.19±0.02 2.17±0.02 0.239 Serum Creatinine (mg/dL) 0.89±0.003 0.90±0.004 0.91±0.002 0.88±0.003 0.234 Log ACR (mg/g) 2.14±0.02 2.10±0.02 2.11±0.02 2.16±0.02 0.352 eGFR (ml/min/1.73m2) 91.2±0.7 92.8±0.4 90.2±0.5 89.6±0.3 0.415 MR on the impact of coffee intake on CKD Conclusions By implementing on different strategies we have highlighted no significant association between coffee consumption with renal function and chance of CKD. Acknowledgement/Funding None

The Prevalence of Human Papillomavirus in Ovarian Cancer: A Systematic Review

2013 ◽  
Vol 23 (3) ◽  
pp. 437-441 ◽  
Author(s):  
Maria Inês Rosa ◽  
Geraldo Doneda Silva ◽  
Priscyla Waleska Targino de Azedo Simões ◽  
Meriene Viquetti Souza ◽  
Ana Paula Ronzani Panatto ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Human Papillomavirus ◽  
Meta Analysis ◽  
Grey Literature ◽  
Blot Hybridization ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Cross Sectional

ObjectiveWe performed a systematic review and a meta-analysis to estimate the prevalence of human papillomavirus (HPV) in ovarian cancer.MethodsA comprehensive search of the Cochrane Library, MEDLINE, CANCERLIT, LILACS, Grey literature and EMBASE was performed for articles published from January 1990 to March 2012. The following MeSH (Medical Subject Headings) terms were searched: “ovarian tumor” or “ovarian cancers” and “HPV” or “human papillomavirus.” Included were case-control and cross-sectional studies, prospective or retrospective, that evaluated clinical ovarian cancer and provided a clear description of the use of in situ hybridization, Southern blot hybridization, and polymerase chain reaction. The statistical analysis was performed using REVMAN 5.0.ResultsIn total, 24 primary studies were included in this meta-analysis. Studies from 11 countries on 3 continents contained data on HPV and ovarian cancer, including 889 subjects. Overall, the HPV prevalence in patients with ovarian cancer was 17.5 (95% confidence interval [CI], 15.0%–20.0%). Human papillomavirus prevalence ranged from 4.0% (95% CI, 1.7%–6.3%) in Europe to 31.4% (95% CI, 26.9%–35.9%) in Asia. An aggregate of 4 case-control studies from Asia showed an odds ratio of 2.48 (95% CI, 0.64–9.57).ConclusionsWe found a high prevalence of HPV-positive DNA in ovarian cancer cases, but the role of HPV in ovarian cancer remains inconclusive. Further studies are needed to control case to answer this question.

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