ArticleNutrients2021
Dietary Patterns and Breast Cancer Risk in Black Urban South African Women: The SABC Study.
Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.
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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, 3 syntheses or guidelines pooled it.
- Consumption of fast foods and ultra-processed foods and breast cancer risk: a systematic review and meta-analysis.Global health research and policy · 2025Pooled it
- Adherence to the Dietary Approaches to Stop Hypertension diet reduces the risk of breast cancer: A systematic review and meta-analysis.Frontiers in nutrition · 2022Pooled it
- Dietary patterns and breast cancer risk, prognosis, and quality of life: A systematic review.Frontiers in nutrition · 2022Pooled it
- Breast Cancer in Relation to Dairy Product Consumption: A Review of Current Findings and Potential Mechanisms.Current nutrition reports · 2026Review
- Biological Basis of Breast Cancer-Related Disparities in Precision Oncology Era.International journal of molecular sciences · 2024Review
- Breast Cancer Exposomics.Life (Basel, Switzerland) · 2024Review
- Adherence to Mediterranean dietary quality index and risk of breast cancer in adult women: a case-control study.BMC women's health · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
A total of 396 breast cancer cases and 396 population-based controls from the South African Breast Cancer study (SABC) matched on age and demographic settings was included. Validated questionnaires were used to collect dietary and epidemiological data. Dietary patterns were derived using principal component analysis with a covariance matrix from 33 food groups. Odds ratios and 95% confidence intervals were estimated using conditional logistic regression. A traditional, a cereal-dairy breakfast and a processed food dietary pattern were identified, which together explained 40.3% of the total variance in the diet. After adjusting for potential confounders, the traditional dietary pattern and cereal-dairy breakfast dietary pattern were inversely associated with breast cancer risk (highest tertile versus lowest tertile) (OR = 0.72, 95%CI: 0.57-0.89,
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