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Open AccessJournal ArticleDOI

Alcohol drinking and colorectal cancer risk: an overall and dose–response meta-analysis of published studies

TLDR
This meta-analysis provides strong evidence for an association between alcohol drinking of >1 drink/day and colorectal cancer risk.
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This article is published in Annals of Oncology.The article was published on 2011-09-01 and is currently open access. It has received 558 citations till now.

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Global patterns and trends in colorectal cancer incidence and mortality

TL;DR: Pattern and trends in CRC incidence and mortality correlate with present human development levels and their incremental changes might reflect the adoption of more western lifestyles, pointing towards widening disparities and an increasing burden in countries in transition.
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Epidemiology of colorectal cancer: incidence, mortality, survival, and risk factors

TL;DR: According to GLOBOCAN 2018 data, colorectal cancer (CRC) is the third most deadly and fourth most commonly diagnosed cancer in the world.
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Global Burden of 5 Major Types of Gastrointestinal Cancer

TL;DR: There was a uniform decrease in gastric cancer incidence but an increasing incidence of colorectal cancer in formerly low-incidence regions over the studied time period, and slight increases in incidence of liver and pancreatic cancer in some high-income regions.
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Meta-analyses of Colorectal Cancer Risk Factors

TL;DR: Inflammatory bowel disease and history of CRC in first-degree relatives are associated with much higher risk of CRC and a comprehensive risk modeling strategy that incorporates multiple effects to predict an individual’s risk of developing CRC is developed.
References
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Journal ArticleDOI

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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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.
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Meta-analysis of observational studies in epidemiology - A proposal for reporting

TL;DR: A checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion should improve the usefulness ofMeta-an analyses for authors, reviewers, editors, readers, and decision makers.
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Operating characteristics of a rank correlation test for publication bias.

TL;DR: In this paper, an adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations, and the test statistic is a direct statistical analogue of the popular funnel-graph.
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Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

TL;DR: In this paper, a rank-based data augmentation technique is proposed for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome.
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