ArticleMedical decision making : an international journal of the Society for Medical Decision Making2018
Common Model Inputs Used in CISNET Collaborative Breast Cancer Modeling.
Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.
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Who cites it
40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- The predictive value of multiple artificial intelligence models in axillary lymph node metastasis of breast cancer detected by ultrasound - a network meta-analysis.Frontiers in oncology · 2026Pooled it
- Reassessing the Benefits and Harms of Risk-Reducing Medication Considering the Persistent Risk of Breast Cancer Mortality in Estrogen Receptor-Positive Breast Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023Pooled it
- Benefits and harms of annual, biennial, or triennial breast cancer mammography screening for women at average risk of breast cancer: a systematic review for the European Commission Initiative on Breast Cancer (ECIBC).British journal of cancer · 2022Pooled it
- Cost-effectiveness of abbreviated breast MRI and contrast-enhanced mammography for women with extremely dense breasts in a national breast cancer screening program: a micro-simulation study.Breast (Edinburgh, Scotland) · 2026Article
- Discrete-Event Simulation Modeling Framework for Cancer Interventions and Population Health in R (DESCIPHR): An Open-Source Pipeline.PharmacoEconomics · 2026Article
- Five-Year Absolute Risk-Based and Age-Based Breast Cancer Screening in the US.JAMA network open · 2026Article
- Impact of endocrine therapy regimens for early-stage ER+/HER2-breast cancer on contralateral breast cancer risk.NPJ breast cancer · 2025Article
- Mathematical Modeling to Address Questions in Breast Cancer Screening: An Overview of the Breast Cancer Models of the Cancer Intervention and Surveillance Modeling Network.Journal of breast imaging · 2025Review
- Article
- Benefits and Harms of Mammography Screening in 75 + Women to Inform Shared Decision-making: a Simulation Modeling Study.Journal of general internal medicine · 2024Article
- Population simulation modeling of disparities in US breast cancer mortality.Journal of the National Cancer Institute. Monographs · 2023Article
- Tumour Growth Models of Breast Cancer for Evaluating Early Detection-A Summary and a Simulation Study.Cancers · 2023Article
- The Early Detection of Breast Cancer Using Liquid Biopsies: Model Estimates of the Benefits, Harms, and Costs.Cancers · 2022Article
- Breast Cancer Screening Strategies for Women With ATM, CHEK2, and PALB2 Pathogenic Variants: A Comparative Modeling Analysis.JAMA oncology · 2022Article
- Breast Cancer Screening Among Childhood Cancer Survivors Treated Without Chest Radiation: Clinical Benefits and Cost-Effectiveness.Journal of the National Cancer Institute · 2022Article
- Simulation modeling of breast cancer endocrine therapy duration by patient and tumor characteristics.Cancer medicine · 2022Article
- Identifying Equitable Screening Mammography Strategies for Black Women in the United States Using Simulation Modeling.Annals of internal medicine · 2021Article
- Tocotrienols as an Anti-Breast Cancer Agent.Antioxidants (Basel, Switzerland) · 2021Review
- Trade-Offs Between Harms and Benefits of Different Breast Cancer Screening Intervals Among Low-Risk Women.Journal of the National Cancer Institute · 2021Article
- Reflecting on 20 years of breast cancer modeling in CISNET: Recommendations for future cancer systems modeling efforts.PLoS computational biology · 2021Review
Corrections and comments
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Authors and funding
11 authors at 9 institutions in 2 countries.
Funding
Abstract
backgroundSince their inception in 2000, the Cancer Intervention and Surveillance Network (CISNET) breast cancer models have collaborated to use a nationally representative core of common input parameters to represent key components of breast cancer control in each model. Employment of common inputs permits greater ability to compare model output than when each model begins with different input parameters. The use of common inputs also enhances inferences about the results, and provides a range of reasonable results based on variations in model structure, assumptions, and methods of use of the input values. The common input data are updated for each analysis to ensure that they reflect the most current practice and knowledge about breast cancer. The common core of parameters includes population rates of births and deaths; age- and cohort-specific temporal rates of breast cancer incidence in the absence of screening and treatment; effects of risk factors on incidence trends; dissemination of plain film and digital mammography; screening test performance characteristics; stage or size distribution of screen-, interval-, and clinically- detected tumors by age; the joint distribution of ER/HER2 by age and stage; survival in the absence of screening and treatment by stage and molecular subtype; age-, stage-, and molecular subtype-specific therapy; dissemination and effectiveness of therapies over time; and competing non-breast cancer mortality. METHOD AND
resultsIn this paper, we summarize the methods and results for the common input values presently used in the CISNET breast cancer models, note assumptions made because of unobservable phenomena and/or unavailable data, and highlight plans for the development of future parameters.
conclusionThese data are intended to enhance the transparency of the breast CISNET models.
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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.