Literature DB >> 27933694

Association of coffee consumption and chronic kidney disease: A meta-analysis.

Karn Wijarnpreecha1, Charat Thongprayoon1, Natanong Thamcharoen1, Panadeekarn Panjawatanan2, Wisit Cheungpasitporn3.   

Abstract

BACKGROUND/
OBJECTIVES: The risk of chronic kidney disease (CKD) in individuals who regularly drink coffee is controversial. The aim of this meta-analysis was to evaluate the association between coffee consumption and CKD.
METHODS: A literature search was performed using MEDLINE, EMBASE, and Cochrane Database of Systematic Reviews from inception until April 2016. We included studies that reported odd ratios or hazard ratios comparing the risk of CKD in individuals consuming significant amount of coffee vs. those who did not consume coffee. Pooled risk ratios (RR) and 95% confidence interval (CI) were calculated using a random-effect, generic inverse variance method.
RESULTS: Four observational studies with 14 898 individuals were included in our analysis to assess the association between coffee consumption and CKD. Coffee consumption was defined as one cup of coffee per day or greater. The pooled RR of CKD in individuals consuming coffee was 0.71 (95% CI, 0.47-1.08). The subgroup analysis showed the pooled RRs of CKD of 1.10 (95% CI, 0.94-1.29) in males and 0.81 (95% CI, 0.58-1.13) in females, respectively.
CONCLUSIONS: Our study demonstrates no significant association between coffee consumption and CKD in males. However, future studies are required to assess a potential inverse association between coffee consumption and risk for developing CKD in females.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  caffeine; chronic kidney disease; coffee; kidney function; meta-analysis

Mesh:

Substances:

Year:  2016        PMID: 27933694     DOI: 10.1111/ijcp.12919

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


  12 in total

1.  Coffee Consumption and Incident Kidney Disease: Results From the Atherosclerosis Risk in Communities (ARIC) Study.

Authors:  Emily A Hu; Elizabeth Selvin; Morgan E Grams; Lyn M Steffen; Josef Coresh; Casey M Rebholz
Journal:  Am J Kidney Dis       Date:  2018-03-20       Impact factor: 8.860

2.  Consumption of caffeinated beverages and kidney function decline in an elderly Mediterranean population with metabolic syndrome.

Authors:  Andrés Díaz-López; Indira Paz-Graniel; Verónica Ruiz; Estefanía Toledo; Nerea Becerra-Tomás; Dolores Corella; Olga Castañer; J Alfredo Martínez; Ángel M Alonso-Gómez; Julia Wärnberg; Jesús Vioque; Dora Romaguera; José López-Miranda; Ramon Estruch; Francisco J Tinahones; José Lapetra; Luís Serra-Majem; Aurora Bueno-Cavanillas; Josep A Tur; Vicente Martín Sánchez; Xavier Pintó; Miguel Delgado-Rodríguez; Pilar Matía-Martín; Josep Vidal; Clotilde Vázquez; Lidia Daimiel; Tania Fernandez Villa; Emilio Ros; Sonia Eguaras; Nancy Babio; Jose V Sorlí; Albert Goday; Itziar Abete; Lucas Tojal Sierra; Francisco Javier Barón-López; Laura Torres-Collado; Marga Morey; Antonio Garcia-Rios; Rosa Casas; María Rosa Bernal-López; José Manuel Santos-Lozano; Adela Navarro; Jose I Gonzalez; María Dolores Zomeño; Maria Angeles Zulet; Jessica Vaquero Luna; Raul Ramallal; Montse Fitó; Jordi Salas-Salvadó
Journal:  Sci Rep       Date:  2021-04-22       Impact factor: 4.379

3.  Metabolites Associated with Coffee Consumption and Incident Chronic Kidney Disease.

Authors:  William J He; Jingsha Chen; Alexander C Razavi; Emily A Hu; Morgan E Grams; Bing Yu; Chirag R Parikh; Eric Boerwinkle; Lydia Bazzano; Lu Qi; Tanika N Kelly; Josef Coresh; Casey M Rebholz
Journal:  Clin J Am Soc Nephrol       Date:  2021-11-04       Impact factor: 8.237

Review 4.  The association between coffee and caffeine consumption and renal function: insight from individual-level data, Mendelian randomization, and meta-analysis.

Authors:  Mohsen Mazidi; Dimitri P Mikhailidis; Abbas Dehghan; Jacek Jóźwiak; Adrian Covic; Naveed Sattar; Maciej Banach
Journal:  Arch Med Sci       Date:  2021-12-14       Impact factor: 3.707

5.  Consumption of Coffee but Not of Other Caffeine-Containing Beverages Reduces the Risk of End-Stage Renal Disease in the Singapore Chinese Health Study.

Authors:  Quan-Lan Jasmine Lew; Tazeen Hasan Jafar; Aizhen Jin; Jian-Min Yuan; Woon-Puay Koh
Journal:  J Nutr       Date:  2018-08-01       Impact factor: 4.798

Review 6.  Coffee consumption and health: umbrella review of meta-analyses of multiple health outcomes.

Authors:  Robin Poole; Oliver J Kennedy; Paul Roderick; Jonathan A Fallowfield; Peter C Hayes; Julie Parkes
Journal:  BMJ       Date:  2017-11-22

7.  Quality of Beverage Intake and Cardiometabolic and Kidney Outcomes: Insights From the STANISLAS Cohort.

Authors:  Sandra Wagner; Thomas Merkling; Nicolas Girerd; Erwan Bozec; Laurie Van den Berghe; Axelle Hoge; Michèle Guillaume; Mehmet Kanbay; Céline Cakir-Kiefer; Simon N Thornton; Jean-Marc Boivin; Ludovic Mercklé; Martine Laville; Patrick Rossignol; Julie-Anne Nazare
Journal:  Front Nutr       Date:  2022-01-07

Review 8.  Causal relationship from coffee consumption to diseases and mortality: a review of observational and Mendelian randomization studies including cardiometabolic diseases, cancer, gallstones and other diseases.

Authors:  Ask T Nordestgaard
Journal:  Eur J Nutr       Date:  2021-07-28       Impact factor: 5.614

9.  Relationship between caffeine intake and autosomal dominant polycystic kidney disease progression: a retrospective analysis using the CRISP cohort.

Authors:  Katelyn A McKenzie; Mirelle El Ters; Vicente E Torres; Peter C Harris; Arlene B Chapman; Michal Mrug; Frederic F Rahbari-Oskoui; Kyongtae Ty Bae; Douglas P Landsittel; William M Bennett; Alan S L Yu; Jonathan D Mahnken
Journal:  BMC Nephrol       Date:  2018-12-27       Impact factor: 2.388

10.  All coffee types decrease the risk of adverse clinical outcomes in chronic liver disease: a UK Biobank study.

Authors:  Oliver J Kennedy; Jonathan A Fallowfield; Robin Poole; Peter C Hayes; Julie Parkes; Paul J Roderick
Journal:  BMC Public Health       Date:  2021-06-22       Impact factor: 3.295

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