ArticleBMC cancer2023
Breast cancer risk factors and mammographic density among 12518 average-risk women in rural China.
Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Breast Cancer Screening Programs in China: Implementation, Challenges, and Future Perspectives.Korean journal of radiology · 2026Review
- High Mammographic Density in Younger Women and Its Implications for Breast Cancer Subtypes.International journal of breast cancer · 2026Article
- Artificial intelligence-assisted ultrasound screening for breast cancer in China: a prospective, clustered, controlled, population-based study.Breast cancer research : BCR · 2025Article
- Analysis of Lifestyle and Genetic Risk Factors in Urban Women in China Who Had Malignant or Suspected Malignant Breast Nodules Identified via Breast Cancer Screening.Breast care (Basel, Switzerland) · 2025Article
- Reproductive factors and mammographic density within the International Consortium of Mammographic Density: A cross-sectional study.Breast cancer research : BCR · 2024Article
- Association between breastfeeding, mammographic density, and breast cancer risk: a review.International breastfeeding journal · 2024Review
- Artificial Intelligence in Senology - Where Do We Stand and What Are the Future Horizons?European journal of breast health · 2024Article
- Physiological changes in the mammary glands during a female's life.Polish journal of radiology · 2024Review
- Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundMammographic density (MD) is a strong risk factor for breast cancer. We aimed to evaluate the association between MD and breast cancer related risk factors among average-risk women in rural China.
methodsThis is a population-based screening study. 12518 women aged 45-64 years with complete MD data from three maternal and childcare hospitals in China were included in the final analysis. ORs and 95%CIs were estimated using generalized logit model by comparing each higher MD (BI-RADS b, c, d) to the lowest group (BI-RADS a). The cumulative logistic regression model was used to estimate the OR
resultsOlder age (OR
conclusionsIn Chinese women with average risk for breast cancer, we found MD was associated with age, BMI, menopausal status, lactation, and age at menopausal. This finding may help to understand the etiology of breast cancer and have implications for breast cancer prevention in China.
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