SynthesisEuropean journal of clinical nutrition2019
Dietary patterns derived from principal component analysis (PCA) and risk of colorectal cancer: a systematic review and meta-analysis.
Synthesis in European journal of clinical nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05732623 (Diet obEsity sMoking Epigenetics geneTics biomaRkers Physical Activity), which is not on this map. Cited by 54 papers, 6 of them syntheses 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.
Diet obEsity sMoking Epigenetics geneTics biomaRkers Physical Activity: An International Multicenter Case-control Study on Endogenous and Exogenous Risk Factors in Early-onset Colorectal Cancer
Who cites it
54 citing papers in PubMed, 6 syntheses or guidelines pooled it, 103 citations in OpenAlex.
- Risk of intestinal cancer in Crohn's disease: re-analysis and meta-regression of population-based cohort studies.Journal of Crohn's & colitis · 2026Pooled it
- Difference in Gastrointestinal Cancer Risk and Mortality by Dietary Pattern Analysis: A Systematic Review and Meta-Analysis.Nutrition reviews · 2025Pooled it
- Effect of Education on Nutritional Knowledge of Cancer Prevention based on Health Belief Model: A Systematic Review and Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2025Pooled it
- Adherence to Data-Driven Dietary Patterns and Lung Cancer Risk: A Systematic Review and Dose-Response Meta-Analysis.Nutrients · 2023Pooled it
- Whole Grains, Refined Grains, and Cancer Risk: A Systematic Review of Meta-Analyses of Observational Studies.Nutrients · 2020Pooled it
- Dietary Patterns and Metabolic Syndrome in Adult Subjects: A Systematic Review and Meta-Analysis.Nutrients · 2019Pooled it
- Trial
- Adherence to a paleolithic diet and paleolithic-like lifestyle is associated with lower colorectal cancer risk.European journal of nutrition · 2026Article
- TREE-REGULARIZED BAYESIAN LATENT CLASS ANALYSIS FOR IMPROVING WEAKLY SEPARATED DIETARY PATTERN SUBTYPING IN SMALL-SIZED SUBPOPULATIONS.The annals of applied statistics · 2025Article
- Associations between Dietary Pattern Networks Derived from Machine Learning Algorithms and Cardiovascular Disease Risk in the NutriNet-Santé Cohort.The Journal of nutrition · 2025Observational
- Dietary patterns of Filipino older adults and associated factors: analysis of the 2013 National nutrition survey and 2018-2019 expanded National nutrition survey.BMC geriatrics · 2025Article
- Dietary pattern and lifestyle risk factors for sessile serrated precursors to colorectal cancer.The British journal of nutrition · 2025Article
- Survival Tree Analysis of Interactions Among Factors Associated With Colorectal Cancer Risk in Patients With Type 2 Diabetes: Retrospective Cohort Study.JMIR public health and surveillance · 2025Article
- Expression of Prooncogenic Nuclear Receptor 4A (NR4A)-Regulated Genes β1-Integrin and G9a Inhibited by Dual NR4A1/2 Ligands.International journal of molecular sciences · 2025Article
- Dietary patterns and colorectal cancer: a multicenter case-control study in an Iranian population.Scientific reports · 2025Article
- Associations between dietary patterns and sarcopenia in aging populations: a community study from eastern China's Huzhou city.Frontiers in nutrition · 2025Article
- Dietary patterns of adults in Italy: Results from the third Italian National Food Consumption Survey, INRAN-SCAI.PloS one · 2025Article
- Review
- The Importance of Genetic Screening on the Syndromes of Colorectal Cancer and Gastric Cancer: A 2024 Update.Biomedicines · 2024Review
- The association between non- and pro-healthy diet indices and the risk of colorectal cancer: a case-control study.BMC gastroenterology · 2024Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimColorectal cancer (CRC) is highly prevalent worldwide, with dietary habits being a major risk factor. We systematically reviewed and meta-analysed the observational evidence on the association between CRC and dietary patterns (DP) derived from principal component analysis.
designPRISMA guidelines were followed. Web of Science, Medline/PubMed, EMBASE, and The Cochrane Library were searched to identify all eligible papers published up to the 31st July 2017. Any pre-defined cancer of the colon was included, namely colon-rectal cancer (CRC), colon cancer (CC), rectal cancer (RC), or proximal and distal CC, if available. Western (WDP) and prudent (PDP) dietary patterns were compared as a proxy to estimate "unhealthy" (Rich in meat and processed foods) and "healthy" diets (containing fruits or vegetables), respectively. Meta-analyses were carried out using random effects model to calculate overall risk estimates. Relative risks (RR) and 95% confidence intervals were estimated comparing the highest versus the lowest categories of dietary patterns for any of the forms of colon cancer studied.
results28 studies were meta-analysed. A WDP was associated with increased risk of CRC (RR 1.25; 95% CI 1.11, 1.40), and of CC (RR 1.30; 95% CI 1.11, 1.52). A PDP was negatively associated with CRC (RR 0.81; 95% CI 0.73, 0.91). Sensitivity analyses showed that individuals from North-and South-American countries had a significantly higher risk of CRC than those from other continents.
conclusionA PDP might reduce the risk of CRC. Conversely, a WDP is associated with a higher risk of disease.
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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.