ArticleStatistical science : a review journal of the Institute of Mathematical Statistics2020
Risk Models for Breast Cancer and Their Validation.
Article in Statistical science : a review journal of the Institute of Mathematical Statistics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Development and performance of female breast cancer incidence risk prediction models: a systematic review and meta-analysis.Annals of medicine · 2025Pooled it
- Evaluating the Impact of Age on Prostate Cancer Overdiagnosis Using Long-Term Follow-Up From the CAP Randomised Trial.International journal of cancer · 2026Trial
- Identifying Breast Cancer Risk in Patients Undergoing Gender-Affirming Chest Masculinization Surgery.Journal of surgical oncology · 2026Article
- Article
- Evaluating the impact of age on prostate cancer overdiagnosis using long-term follow-up from a randomised trial.medRxiv : the preprint server for health sciences · 2026Article
- Artificial intelligence-based integration of imaging, exposome, and multi-omics data for immune-related biomarker discovery and precision prevention in breast cancer.Frontiers in immunology · 2026Review
- Identification and management of genetic susceptibility to cancer: UK perspective.BMJ oncology · 2026Review
- The Tyrer-Cuzick risk model: Is it effective for all races?Clinical imaging · 2025Article
- Oestradiol and breast cancer prevention: a 40 year history and contemporary perspective.British journal of cancer · 2025Review
- Pharmacological Prevention in Breast Cancer: Current Evidence, Challenges, and Future Directions.Cancers · 2025Review
- Incorporating Continuous Mammographic Density Into the BOADICEA Breast Cancer Risk Prediction Model.JCO precision oncology · 2025Article
- Review
- A roadmap to reduce the incidence and mortality of breast cancer by rethinking our approach to women's health.Breast cancer research and treatment · 2025Review
- Lower Frequency ofGastro hep advances · 2025Article
- Improving communication to increase uptake of high-risk breast cancer prevention appointments: Building a better letter.PEC innovation · 2024Article
- Validation of the Mirai model for predicting breast cancer risk in Mexican women.Insights into imaging · 2024Article
- The Impact of a Breast Cancer Risk Assessment on the Decision for Gender-Affirming Chest Masculinization Surgery in Transgender and Gender-Diverse Individuals: A Pilot Single-Arm Educational Intervention Trial.Annals of surgical oncology · 2024Observational
- Assessing the Value of Incorporating a Polygenic Risk Score with Nongenetic Factors for Predicting Breast Cancer Diagnosis in the UK Biobank.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Are better AI algorithms for breast cancer detection also better at predicting risk? A paired case-control study.Breast cancer research : BCR · 2024Article
- Transgender preventative health-chest/breast cancer screening.Frontiers in health services · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Strategies to prevent cancer and diagnose it early when it is most treatable are needed to reduce the public health burden from rising disease incidence. Risk assessment is playing an increasingly important role in targeting individuals in need of such interventions. For breast cancer many individual risk factors have been well understood for a long time, but the development of a fully comprehensive risk model has not been straightforward, in part because there have been limited data where joint effects of an extensive set of risk factors may be estimated with precision. In this article we first review the approach taken to develop the IBIS (Tyrer-Cuzick) model, and describe recent updates. We then review and develop methods to assess calibration of models such as this one, where the risk of disease allowing for competing mortality over a long follow-up time or lifetime is estimated. The breast cancer risk model model and calibration assessment methods are demonstrated using a cohort of 132,139 women attending mammography screening in the State of Washington, USA.
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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.