Dietary Intake of Meat Cooking-Related Mutagens (HCAs) and Risk of Colorectal Adenoma and Cancer: A Systematic Review and Meta-Analysis
TLDR
A linear and curvilinear trend was observed in dose–response meta-analysis between CRA risk in association with PhIP, MDM, and MeIQx and no publication bias could be detected, whereas heterogeneity was in some cases rather high.Citations
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Lifestyle and dietary environmental factors in colorectal cancer susceptibility.
Neil Murphy,Victor Moreno,David J. Hughes,Ludmila Vodicka,Pavel Vodicka,Elom K. Aglago,Marc J. Gunter,Mazda Jenab +7 more
TL;DR: This chapter will review the available evidence on lifestyle and dietary factors in CRC etiology and their underlying mechanisms in CRC development and touch upon available information on potential gene-environment interactions, molecular sub-types of CRC and anatomical sub-sites within the colorectum.
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An updated systematic review and meta-analysis on adherence to mediterranean diet and risk of cancer.
Jakub Morze,Anna Danielewicz,Katarzyna Przybyłowicz,Hongmei Zeng,Georg F. Hoffmann,Lukas Schwingshackl +5 more
TL;DR: It is suggested that highest adherence to the MedDiet was related to lower risk of cancer mortality in the general population, and all-cause mortality among cancer survivors as well as colorectal, head and neck, respiratory, gastric, liver and bladder cancer risks.
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Role of Diet in Colorectal Cancer Incidence: Umbrella Review of Meta-analyses of Prospective Observational Studies
Sajesh K. Veettil,Tse Yee Wong,Yee Shen Loo,Mary C. Playdon,Mary C. Playdon,Nai Ming Lai,Nai Ming Lai,Edward Giovannucci,Nathorn Chaiyakunapruk +8 more
TL;DR: It is suggested that dietary factors may have a role in the development and prevention of CRC, but more research is needed on specific foods for which the evidence remains suggestive.
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Red and Processed Meat Consumption and Risk of Depression: A Systematic Review and Meta-Analysis.
TL;DR: The results from the meta-analysis showed a significant association between red and processed meat intake and risk of depression, and will be useful for health professionals and policy makers to better consider the effect of diet on mental health status.
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Colon Carcinogenesis: The Interplay Between Diet and Gut Microbiota
TL;DR: Dietary intervention and gut microbiota modulation may play a vital role in reducing CRC risk, and the role of proteins, carbohydrates, fat, and their end products are considered as part of the interplay between diet and Gut microbiota.
References
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R: A language and environment for statistical computing.
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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Measuring inconsistency in meta-analyses
TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
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Bias in meta-analysis detected by a simple, graphical test
TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration
Alessandro Liberati,Douglas G. Altman,Jennifer Tetzlaff,Cynthia D. Mulrow,Peter C Gøtzsche,John P. A. Ioannidis,Mike Clarke,Mike Clarke,Philip J. Devereaux,Jos Kleijnen,David Moher +10 more
TL;DR: An Explanation and Elaboration of the PRISMA Statement is presented and updated guidelines for the reporting of systematic reviews and meta-analyses are presented.
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Quantifying heterogeneity in a meta‐analysis
TL;DR: It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity.