Literature DB >> 30711063

Assessing the Cost-Effectiveness of Updated Breast Cancer Screening Guidelines for Average-Risk Women.

Ya-Chen Tina Shih1, Wenli Dong2, Ying Xu3, Yu Shen2.   

Abstract

BACKGROUND: Several specialty societies have recently updated their breast cancer screening guidelines in late 2015/early 2016.
OBJECTIVES: To evaluate the cost-effectiveness of US-based mammography screening guidelines.
METHODS: We developed a microsimulation model to generate the natural history of invasive breast cancer and capture how screening and treatment modified the natural course of the disease. We used the model to assess the cost-effectiveness of screening strategies, including annual screening starting at the age of 40 years, biennial screening starting at the age of 50 years, and a hybrid strategy that begins screening at the age of 45 years and transitions to biennial screening at the age of 55 years, combined with three cessation ages: 75 years, 80 years, and no upper age limit. Findings were summarized as incremental cost-effectiveness ratio (cost per quality-adjusted life-year [QALY]) and cost-effectiveness acceptability frontier.
RESULTS: The screening strategy that starts annual mammography at the age of 45 years and switches to biennial screening between the ages of 55 and 75 years was the most cost-effective, yielding an incremental cost-effectiveness ratio of $40,135/QALY. Probabilistic analysis showed that the hybrid strategy had the highest probability of being optimal when the societal willingness to pay was between $44,000/QALY and $103,500/QALY. Within the range of commonly accepted societal willingness to pay, no optimal strategy involved screening with a cessation age of 80 years or older.
CONCLUSIONS: The screening strategy built on a hybrid design is the most cost-effective for average-risk women. By considering the balance between benefits and harms in forming its recommendations, this hybrid screening strategy has the potential to optimize the health care system's investment in the early detection and treatment of breast cancer.
Copyright © 2019 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  breast cancer screening guidelines; cost-effectiveness analysis; microsimulation models; screening mammography

Mesh:

Year:  2018        PMID: 30711063     DOI: 10.1016/j.jval.2018.07.880

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  9 in total

1.  Incorporating Baseline Breast Density When Screening Women at Average Risk for Breast Cancer : A Cost-Effectiveness Analysis.

Authors:  Ya-Chen Tina Shih; Wenli Dong; Ying Xu; Ruth Etzioni; Yu Shen
Journal:  Ann Intern Med       Date:  2021-02-09       Impact factor: 25.391

Review 2.  Health Economics Research in Cancer Screening: Research Opportunities, Challenges, and Future Directions.

Authors:  Ya-Chen Tina Shih; Lindsay M Sabik; Natasha K Stout; Michael T Halpern; Joseph Lipscomb; Scott Ramsey; Debra P Ritzwoller
Journal:  J Natl Cancer Inst Monogr       Date:  2022-07-05

3.  Comprehensive quantitative malignant risk prediction of pure grouped amorphous calcifications: clinico-mammographic nomogram.

Authors:  Lijuan Shen; Tingting Jiang; Pengzhou Tang; Huijuan Ge; Chao You; Weijun Peng
Journal:  Quant Imaging Med Surg       Date:  2022-05

Review 4.  Use of Claims Data for Cost and Cost-Effectiveness Research.

Authors:  Ya-Chen Tina Shih; Lei Liu
Journal:  Semin Radiat Oncol       Date:  2019-10       Impact factor: 5.934

Review 5.  Systematic Review of the Cost Effectiveness of Breast Cancer Prevention, Screening, and Treatment Interventions.

Authors:  Jinani Jayasekera; Jeanne S Mandelblatt
Journal:  J Clin Oncol       Date:  2019-12-05       Impact factor: 44.544

6.  Cost-effectiveness Analysis of Nutrition Facts Added-Sugar Labeling and Obesity-Associated Cancer Rates in the US.

Authors:  Mengxi Du; Christina F Griecci; Frederick F Cudhea; Heesun Eom; David D Kim; Parke Wilde; John B Wong; Y Claire Wang; Dominique S Michaud; Dariush Mozaffarian; Fang Zhang
Journal:  JAMA Netw Open       Date:  2021-04-01

Review 7.  Current and Emerging Tools for Hepatocellular Carcinoma Surveillance.

Authors:  Nia Adeniji; Renumathy Dhanasekaran
Journal:  Hepatol Commun       Date:  2021-09-17

8.  Cost-effectiveness of using artificial intelligence versus polygenic risk score to guide breast cancer screening.

Authors:  Shweta Mital; Hai V Nguyen
Journal:  BMC Cancer       Date:  2022-05-06       Impact factor: 4.638

9.  Cost-effectiveness of MR-mammography as a solitary imaging technique in women with dense breasts: an economic evaluation of the prospective TK-Study.

Authors:  Matthias F Froelich; Clemens G Kaiser
Journal:  Eur Radiol       Date:  2020-08-28       Impact factor: 5.315

  9 in total

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