ArticleJAMA network open2021
Association of Breast Density With Breast Cancer Risk Among Women Aged 65 Years or Older by Age Group and Body Mass Index.
Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Liposuction-Only Breast Reduction: A Systematic Review of Outcomes.Aesthetic plastic surgery · 2024Pooled it
- Tumor Characteristics and Event Free Survival in Older and Younger Women with Early Breast Cancer.Current oncology (Toronto, Ont.) · 2026Article
- Longitudinal Mammographic Breast Density Changes and Associated Factors in Older Korean Women.Radiology. Imaging cancer · 2026Article
- Development and validation of a malignant risk prediction model for breast cystic-solid lesions based on clinical and ultrasound features.BMC women's health · 2026Article
- Article
- Breast density in MRI: an AI-based quantification and relationship to assessment in mammography.NPJ breast cancer · 2025Article
- Comparative Diagnostic Efficacy of Four Breast Imaging Modalities in Dense Breasts: A Single-Center Retrospective Study.Biomedicines · 2025Article
- Obesity-driven changes in breast tissue exhibit a pro-angiogenic extracellular matrix signature.Matrix biology plus · 2024Article
- Breast percent density changes in digital mammography pre- and post-radiotherapy.Journal of medical radiation sciences · 2024Article
- Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort.Radiology. Artificial intelligence · 2024Article
- Enhancing Accuracy in Breast Density Assessment Using Deep Learning: A Multicentric, Multi-Reader Study.Diagnostics (Basel, Switzerland) · 2024Article
- Breast Delineation in Full-Field Digital Mammography Using the Segment Anything Model.Diagnostics (Basel, Switzerland) · 2024Article
- Cost-Effectiveness Analysis of Digital Breast Tomosynthesis Added to Synthetic Mammography in Breast Cancer Screening in Brazil.PharmacoEconomics - open · 2024Article
- A publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast MRI.Scientific reports · 2024Article
- Physical Activity and Mammographic Density in Japanese Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence.Frontiers in oncology · 2024Article
- Nomogram Model for Predicting Minimal Breast Cancer Based on Clinical and Ultrasonic Characteristics.International journal of women's health · 2024Article
- Breast cancer: Epidemiology, risk factors and screening.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2023Article
- Deep Learning Analysis of Mammography for Breast Cancer Risk Prediction in Asian Women.Diagnostics (Basel, Switzerland) · 2023Article
- Enhancement Technique Based on the Breast Density Level for Mammogram for Computer-Aided Diagnosis.Bioengineering (Basel, Switzerland) · 2023Article
Corrections and comments
- Commented on by
Authors and funding
14 authors at 9 institutions in 1 country.
Funding
Abstract
Importance: Breast density is associated with breast cancer risk in women aged 40 to 65 years, but there is limited evidence of its association with risk of breast cancer among women aged 65 years or older. Objective: To compare the association between breast density and risk of invasive breast cancer among women aged 65 to 74 years vs women aged 75 years or older and to evaluate whether the association is modified by body mass index (BMI). Design, Setting, and Participants: This prospective cohort study used data from the Breast Cancer Surveillance Consortium from January 1, 1996, to December 31, 2012, for US women aged 65 years or older who underwent screening mammography. Data were analyzed from January 1, 2018, to December 31, 2020. Exposures: Breast Imaging Reporting and Data System breast density category, age, and BMI. Main Outcomes and Measures: The 5-year cumulative incidence of invasive breast cancer by level of breast density (almost entirely fat, scattered fibroglandular densities, or heterogeneous or extreme density) and age (65-74 vs ≥75 years) was calculated using weighted means. Cox proportional hazards models were fit to estimate the association of breast density with invasive breast cancer risk. The likelihood ratio test was used to test the interaction between BMI and breast density. Results: A total of 221 714 screening mammograms from 193 787 women were included in the study; a total of 38% of the study population was aged 75 years or older. Of the mammograms, most were from women aged 65 to 74 years (64.6%) and non-Hispanic White individuals (81.4%). The 5-year cumulative incidence of invasive breast cancer increased in association with increasing breast density among women aged 65 to 74 years (almost entirely fatty breasts: 11.3 per 1000 women [95% CI, 10.4-12.5 per 1000 women]; scattered fibroglandular densities: 17.2 per 1000 women [95% CI, 16.1-17.9 per 1000 women]; extremely or heterogeneously dense breasts: 23.7 per 1000 women [95% CI, 22.4-25.3 per 1000 women]) and among those aged 75 years or older (fatty breasts: 13.5 per 1000 women [95% CI, 11.6-15.5]; scattered fibroglandular densities: 18.4 per 1000 women [95% CI, 17.0-19.5 per 1000 women]; extremely or heterogeneously dense breasts: 22.5 per 1000 women [95% CI, 20.2-24.2 per 1000 women]). Extreme or heterogeneous breast density was associated with increased risk of breast cancer compared with scattered fibroglandular breast density in both age categories (65-74 years: hazard ratio [HR], 1.39 [95% CI, 1.28-1.50]; ≥75 years: HR, 1.23 [95% CI, 1.10-1.37]). Women with almost entirely fatty breasts had a decrease of approximately 30% (range, 27%-34%) in the risk of invasive breast cancer compared with women with scattered fibroglandular breast density (65-74 years: HR, 0.66 [95% CI, 0.58-0.75]; ≥75 years: HR, 0.73; 95% CI, 0.62-0.86). Associations between breast density and breast cancer risk were not significantly modified by BMI (for age 65-74 years: likelihood ratio test, 2.67; df, 2; P = .26; for age ≥75 years, 2.06; df, 2; P = .36). Conclusions and Relevance: The findings suggest that breast density is associated with increased risk of invasive breast cancer among women aged 65 years or older. Breast density and life expectancy should be considered together when discussing the potential benefits vs harms of continued screening mammography in this population.
Indexed as
Identifiers
What OpenQuestion holds
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.