ArticleAnnals of epidemiology2014
Diet and lifestyle factors and risk of subtypes of esophageal and gastric cancers: classification tree analysis.
Article in Annals of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 4 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- Lifestyle, WCRF/AICR Recommendations, and Esophageal Adenocarcinoma Risk: A Systematic Review of the Literature.Nutrients · 2021Pooled it
- Pooled it
- Pooled it
- The epidemiology, diagnosis, and treatment of Barrett's carcinoma.Deutsches Arzteblatt international · 2015Pooled it
- Developing a digital interactive tool to enhance cervical cancer awareness and health literacy in Croatia: a community case study.Frontiers in public health · 2026Article
- Spatiotemporal Correlation Analysis for the Incidence of Esophageal and Gastric Cancer From 2010 to 2019: Ecological Study.JMIR cancer · 2025Article
- The Role of a Plant-Only (Vegan) Diet in Gastroesophageal Reflux Disease: Online Survey of the Italian General Population.Nutrients · 2023Article
- Clinicopathological Characteristics and Incidence of Gastric Cancer in Eastern India: A Retrospective Study.Journal of gastrointestinal cancer · 2021Article
- Modeling historic incidence trends implies early field cancerization in esophageal squamous cell carcinoma.PLoS computational biology · 2021Article
- Fresh fruit consumption may decrease the long-term risk of esophageal cancer mortality: A 30-year follow-up study in the Linxian Dysplasia Nutrition Intervention trial (NIT).Thoracic cancer · 2020Article
- Dietary patterns and cancer risk.Nature reviews. Cancer · 2020Review
- Preventable lifestyle and eating habits associated with gastric adenocarcinoma: A case-control study.Journal of Cancer · 2020Article
- Make Intelligent of Gastric Cancer Diagnosis Error in Qazvin's Medical Centers: Using Data Mining Method.Asian Pacific journal of cancer prevention : APJCP · 2019Article
- Vegetal and Animal Food Proteins Have a Different Impact in the First Postprandial Hour of Impedance-pH Analysis in Patients with Heartburn.Gastroenterology research and practice · 2018Article
- Dietary vitamin B intake and the risk of esophageal cancer: a meta-analysis.Cancer management and research · 2018Review
- Importance of tumor location and histology in familial risk of upper gastrointestinal cancers: a nationwide cohort study.Clinical epidemiology · 2018Article
- Alcohol consumption and gastric cancer risk: a meta-analysis of prospective cohort studies.Oncotarget · 2017Article
- A Rare Disease of the Digestive Tract: Esophageal Melanosis.Gastroenterology research · 2016Article
- A new algorithm to extract hidden rules of gastric cancer data based on ontology.SpringerPlus · 2016Article
- Dietary Risk Reduction Factors for the Barrett's Esophagus-Esophageal Adenocarcinoma Continuum: A Review of the Recent Literature.Current nutrition reports · 2015Article
Corrections and comments
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Authors and funding
12 authors at 8 institutions in 2 countries.
Funding
Abstract
purposeAlthough risk factors for squamous cell carcinoma of the esophagus and adenocarcinomas of the esophagus (EA), gastric cardia (GC), and other (noncardia) gastric (OG) sites have been identified, little is known about interactions among risk factors. We sought to examine interactions of diet, other lifestyle, and medical factors with risks of subtypes of esophageal and gastric cancers.
methodsWe used classification tree analysis to analyze data from a population-based case-control study (1095 cases, 687 controls) conducted in Connecticut, New Jersey, and western Washington State.
resultsFrequency of reported gastroesophageal reflux disease symptoms was the most important risk stratification factor for EA, GC, and OG, with dietary factors (EA, OG), smoking (EA, GC), wine intake (GC, OG), age (OG), and income (OG) appearing to modify the risk of these cancer sites. For esophageal squamous cell carcinoma, smoking was the most important risk stratification factor, with gastroesophageal reflux disease, income, race, noncitrus fruit, and energy intakes further modifying risk.
conclusionVarious combinations of risk factors appear to interact to affect risk of each cancer subtype. Replication of these data mining analyses are required before suggesting causal pathways; however, the classification tree results are useful in partitioning risk and mapping multilevel interactions among risk variables.
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Registered trials
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