SynthesisAdvances in nutrition (Bethesda, Md.)2021
Intake of Various Food Groups and Risk of Breast Cancer: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies.
Synthesis in Advances in nutrition (Bethesda, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 14 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.
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Who cites it
64 citing papers in PubMed, 14 syntheses or guidelines pooled it, 126 citations in OpenAlex.
- The oral und systemic health risks of sugar consumption: an umbrella review.Clinical oral investigations · 2026Pooled it
- Association between dairy intake and multiple health outcomes: a scoping review of systematic reviews and meta-analyses.European journal of clinical nutrition · 2026Pooled it
- A comprehensive evaluation of epidemiological evidence on processed meat intake in relation to cancer, cardiovascular, metabolic diseases and all-cause mortality: an umbrella review.Frontiers in public health · 2026Pooled it
- Adolescent Dietary Intake and Breast Cancer in Adulthood: A Systematic Review and Meta-analysis.Advances in nutrition (Bethesda, Md.) · 2025Pooled it
- Adulthood dietary and lifestyle patterns and risk of breast cancer: Global Cancer Update Programme (CUP Global) systematic literature review.The American journal of clinical nutrition · 2025Pooled it
- Risk factors for breast cancer: an umbrella review of observational cohort studies and causal relationship analysis.Frontiers in oncology · 2025Pooled it
- Breast cancer and its determinants in Ethiopia: a systematic review and meta-analysis.BMJ open · 2024Pooled it
- Protein intake and cancer: an umbrella review of systematic reviews for the evidence-based guideline of the German Nutrition Society.European journal of nutrition · 2024Pooled it
- Pooled it
- Soy Product Consumption and the Risk of Cancer: A Systematic Review and Meta-Analysis of Observational Studies.Nutrients · 2024Pooled it
- Cheese consumption and multiple health outcomes: an umbrella review and updated meta-analysis of prospective studies.Advances in nutrition (Bethesda, Md.) · 2023Pooled it
- Association between ultra-processed foods and risk of cancer: a systematic review and meta-analysis.Frontiers in nutrition · 2023Pooled it
- Association between ultra-processed food consumption and risk of breast cancer: a systematic review and dose-response meta-analysis of observational studies.Frontiers in nutrition · 2023Pooled it
- The Effect of Local Therapy on M1c Prostate Cancer Patients: A Systematic Review and Meta-Analysis.Frontiers in surgery · 2021Pooled it
- The effects of synbiotics supplementation on reducing chemotherapy-induced side effects in women with breast cancer: a randomized placebo-controlled double-blind clinical trial.BMC complementary medicine and therapies · 2023Trial
- Dietary Diversity Score Associated With a Reduced Risk of Breast Cancer: A Large Population-Based Incident Case-Control Study.Current developments in nutrition · 2026Article
- Dietary total antioxidant capacity and risk of breast cancer: a systematic review and dose-response meta-analysis of observational studies.Frontiers in nutrition · 2026Review
- Elucidating the causal effects of plasma metabolites on breast cancer from multiple perspectives.International journal of surgery (London, England) · 2026Article
- Nutritional Impact on Breast Cancer in Menopausal and Post-Menopausal Patients Treated with Aromatase Inhibitors.Cancers · 2025Review
- Deciphering the causal effects of plasma metabolomics and lipids on breast cancer risk: a Mendelian randomization analysis.Discover oncology · 2025Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite increasing evidence for the association of food-based dietary patterns with breast cancer risk, knowledge about the shape of the relationship and the quality of meta-evidence are insufficient. We aimed to summarize the associations between food groups and risks of breast cancer. We performed a systematic literature search of the PubMed and Embase databases up to March 2020. We included cohort, case-cohort, nested case-control studies, and follow-up studies of randomized controlled trials that investigated the relationship between breast cancer risk and at least 1 of the following food groups: red meat, processed meat, fish, poultry, egg, vegetables, fruit, dairy product (overall, milk, yogurt, and cheese), grains/cereals, nuts, legumes, soy, and sugar-sweetened beverages. Summary risk ratios (RRs) and 95% CIs were estimated using a random-effects model for linear and nonlinear relationships. Inverse linear associations were observed for vegetables (RR per 100 g/d, 0.97; 95% CI, 0.95-0.99), fruit (RR per 100 g/d, 0.97; 95% CI, 0.95-0.99), cheese (RR per 30 g/d, 0.95; 95% CI, 0.91-1.00), and soy (RR per 30 g/d, 0.96; 95% CI, 0.94-0.99), while positive associations were observed for red (RR per 100 g/d, 1.10; 95% CI, 1.03-1.18) and processed meat (RR per 50 g/d, 1.18; 95% CI, 1.04-1.33). None of the other food groups were significantly associated with breast cancer risk. A nonlinear association was observed only for milk, such that the intake of >450 g/d increased the risk, while no association was observed for lower intake amounts. High intakes of vegetables, fruit, cheese, and soy products and low intakes of red and processed meat were associated with lower risks of breast cancer. However, causality cannot be inferred from these statistical correlations.
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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.