SynthesisEuropean journal of nutrition2014
Egg consumption and risk of GI neoplasms: dose-response meta-analysis and systematic review.
Synthesis in European journal of nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diet and Risk of Gastric Cancer: An Umbrella Review.Nutrients · 2022Pooled it
- Eggs - a scoping review for Nordic Nutrition Recommendations 2023.Food & nutrition research · 2024Article
- Meat and dairy products intake is associated with gastric cancer: Case-control study findings.Food science & nutrition · 2023Article
- Association of Dietary Cholesterol Intake With Risk of Gastric Cancer: A Systematic Review and Meta-Analysis of Observational Studies.Frontiers in nutrition · 2021Review
- Egg consumption and health outcomes: a global evidence mapping based on an overview of systematic reviews.Annals of translational medicine · 2020Article
- Re-evaluation of the associations of egg intake with serum total cholesterol and cause-specific and total mortality in Japanese women.European journal of clinical nutrition · 2018Article
- Nature, Nurture, and Cancer Risks: Genetic and Nutritional Contributions to Cancer.Annual review of nutrition · 2017Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposePrevious epidemiological studies on egg consumption and the risk of gastrointestinal (GI) neoplasms suggest a positive association; however, data are limited and the evidence remains controversial. This study aims to investigate and quantify the potential dose-response relationship with an evaluation of cancer site-specific differences.
methodsRelevant studies were identified after the literature search via electronic databases until January 2014. Subgroup analysis for serving portions was performed using two standardized classification methods: (1) less than 3, or 3 or more eggs per week; (2) less than 3, 3-5, or more than 5 eggs per week. Method two excludes studies that only reported consumption frequency. Pooled adjusted odds ratios (ORs) comparing highest and lowest categories of dietary pattern scores were calculated using a random-effects model.
resultsThirty-seven case-control and seven cohort studies were included for meta-analysis, which contained a total of 424,867 participants and 18,852 GI neoplasm cases. The combined odds ratio (OR) was calculated to 1.15 (95% CI 1.09-1.22; p value heterogeneity <0.001), showing only a slight increase in risk. The correlation was stronger for colon cancers 1.29 (95% CI 1.14-1.46; p value heterogeneity <0.22). Dose-response analysis revealed similar results with stratification methods, and the ORs for an intake of <3 and ≥3 eggs per week were 1.14 (95% CI 1.07-1.22; p value heterogeneity = 0.38) and 1.25 (95% CI 1.14-1.38; p value heterogeneity = 0.25), respectively. With method 2, the ORs for an intake of <3, 3-5, and >5 eggs per week were 1.13 (95% CI 1.06-1.21; p value heterogeneity = 0.25), 1.14 (95% CI 1.01-1.29; p value heterogeneity = 0.06), and 1.19 (95% CI 1.01-1.39; p value heterogeneity <0.001), respectively.
conclusionThis study provides evidence that egg consumption is associated with a positive dose-response association with the development of GI neoplasms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.