ArticleCancer causes & control : CCC2017
Percent mammographic density prediction: development of a model in the nurses' health studies.
Article in Cancer causes & control : CCC, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03920098 (The Chilean Maternal and Infant Nutrition Cohort Study II), which is not on this map. Cited by 15 papers, 1 of them a synthesis 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.
The Chilean Maternal and Infant Nutrition Cohort Study II
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of prediction models for risk of breast cancer.BMC cancer · 2025Pooled it
- Developing a website to help women aged 55 + incorporate risk in decision-making about breast cancer screening and prevention medications.Patient education and counseling · 2025Article
- Population attributable risk of a competing-risk model for breast cancer and non-breast cancer death among women ≥ 65 years.Breast cancer research and treatment · 2025Article
- Association between Inflammatory Dietary Pattern and Mammographic Features.The Journal of nutrition · 2024Article
- Plasma C-peptide mammographic features and risk of breast cancer.NPJ breast cancer · 2024Article
- A model for predicting both breast cancer risk and non-breast cancer death among women > 55 years old.Breast cancer research : BCR · 2023Article
- Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci.Breast cancer research : BCR · 2022Article
- Associations of Oral Contraceptives with Mammographic Breast Density in Premenopausal Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
- The Chilean Maternal-Infant Cohort Study-II in the COVID-19 Era: A Study Protocol.Frontiers in public health · 2022Article
- Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study.NPJ breast cancer · 2021Article
- Association of Interactions Between Mammographic Density Phenotypes and Established Risk Factors With Breast Cancer Risk, by Tumor Subtype and Menopausal Status.American journal of epidemiology · 2021Article
- Associations of aspirin and other anti-inflammatory medications with mammographic breast density and breast cancer risk.Cancer causes & control : CCC · 2020Article
- Interactions of alcohol and postmenopausal hormone use in regards to mammographic breast density.Cancer causes & control : CCC · 2018Article
- Alcohol consumption across the life course and mammographic density in premenopausal women.Breast cancer research and treatment · 2018Article
- Residential particulate matter and distance to roadways in relation to mammographic density: results from the Nurses' Health Studies.Breast cancer research : BCR · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purposeTo develop a model to predict percent mammographic density (MD) using questionnaire data and mammograms from controls in the Nurses' Health Studies' nested breast cancer case-control studies. Further, we assessed the association between both measured and predicted percent MD and breast cancer risk.
methodsUsing data from 2,955 controls, we assessed several variables as potential predictors. We randomly divided our dataset into a training dataset (two-thirds of the dataset) and a testing dataset (one-third of the dataset). We used stepwise linear regression to identify the subset of variables that were most predictive. Next, we examined the correlation between measured and predicted percent MD in the testing dataset and computed the r
resultsIn the training dataset, several variables were selected for inclusion, including age, body mass index, and parity, among others. In the testing dataset, the Spearman correlation coefficient between predicted and measured percent MD was 0.61. As the prediction model performed well in the testing dataset, we developed the final model in the total dataset. The final prediction model explained 41% of the variability in percent MD. Both measured and predicted percent MD were similarly associated with breast cancer risk adjusting for age, menopausal status, and hormone use (OR per five unit increase = 1.09 for both).
conclusionThese results suggest that predicted percent MD may be useful for research studies in which mammograms are unavailable.
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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.