Analysis of Breast Cancer Mortality in the US—1975 to 2019
Authors:
- Hui HuangHHHui Huang
Top Cited Papers
- 16 January 2024
- journal article
- research article
- Published by American Medical Association (AMA) in JAMA
- Vol. 331 (3) , 233-241
Abstract
Importance: Breast cancer mortality in the US declined between 1975 and 2019. The association of changes in metastatic breast cancer treatment with improved breast cancer mortality is unclear.Objective: To simulate the relative associations of breast cancer screening, treatment of stage I to III breast cancer, and treatment of metastatic breast cancer with improved breast cancer mortality.Design, Setting, and Participants: Using aggregated observational and clinical trial data on the dissemination and effects of screening and treatment, 4 Cancer Intervention and Surveillance Modeling Network (CISNET) models simulated US breast cancer mortality rates. Death due to breast cancer, overall and by estrogen receptor and ERBB2 (formerly HER2) status, among women aged 30 to 79 years in the US from 1975 to 2019 was simulated.Exposures: Screening mammography, treatment of stage I to III breast cancer, and treatment of metastatic breast cancer.Main Outcomes and Measures: Model-estimated age-adjusted breast cancer mortality rate associated with screening, stage I to III treatment, and metastatic treatment relative to the absence of these exposures was assessed, as was model-estimated median survival after breast cancer metastatic recurrence.Results: The breast cancer mortality rate in the US (age adjusted) was 48/100 000 women in 1975 and 27/100 000 women in 2019. In 2019, the combination of screening, stage I to III treatment, and metastatic treatment was associated with a 58% reduction (model range, 55%-61%) in breast cancer mortality. Of this reduction, 29% (model range, 19%-33%) was associated with treatment of metastatic breast cancer, 47% (model range, 35%-60%) with treatment of stage I to III breast cancer, and 25% (model range, 21%-33%) with mammography screening. Based on simulations, the greatest change in survival after metastatic recurrence occurred between 2000 and 2019, from 1.9 years (model range, 1.0-2.7 years) to 3.2 years (model range, 2.0-4.9 years). Median survival for estrogen receptor (ER)–positive/ERBB2-positive breast cancer improved by 2.5 years (model range, 2.0-3.4 years), whereas median survival for ER−/ERBB2− breast cancer improved by 0.5 years (model range, 0.3-0.8 years).Conclusions and Relevance: According to 4 simulation models, breast cancer screening and treatment in 2019 were associated with a 58% reduction in US breast cancer mortality compared with interventions in 1975. Simulations suggested that treatment for stage I to III breast cancer was associated with approximately 47% of the mortality reduction, whereas treatment for metastatic breast cancer was associated with 29% of the reduction and screening with 25% of the reduction.Keywords
This publication has 18 references indexed in Scilit:
- A Molecular Subtype–Specific Stochastic Simulation Model of US Breast Cancer Incidence, Survival, and Mortality Trends from 1975 to 2010Medical Decision Making, 2018
- The Dana-Farber CISNET Model for Breast Cancer Screening Strategies: An UpdateMedical Decision Making, 2018
- Association of Screening and Treatment With Breast Cancer Mortality by Molecular Subtype in US Women, 2000-2012JAMA, 2018
- A Bayesian Simulation Model for Breast Cancer Screening, Incidence, Treatment, and MortalityMedical Decision Making, 2017
- Trastuzumab emtansine versus capecitabine plus lapatinib in patients with previously treated HER2-positive advanced breast cancer (EMILIA): a descriptive analysis of final overall survival results from a randomised, open-label, phase 3 trialThe Lancet Oncology, 2017
- Challenges and Opportunities in Measuring Cancer Recurrence in the United StatesJNCI: Journal of the National Cancer Institute, 2015
- Eribulin monotherapy versus treatment of physician's choice in patients with metastatic breast cancer (EMBRACE): a phase 3 open-label randomised studyThe Lancet, 2011
- Chapter 6: Modeling the Impact of Treatment and Screening on U.S. Breast Cancer Mortality: A Bayesian ApproachJNCI Monographs, 2006
- Chapter 11: A Stochastic Model for Predicting the Mortality of Breast CancerJNCI Monographs, 2006
- Effect of Screening and Adjuvant Therapy on Mortality from Breast CancerNew England Journal of Medicine, 2005