Literature DB >> 33844853

Cost-effectiveness of risk-based breast cancer screening: A systematic review.

Shah Alam Khan1,2, Karla Vanessa Hernandez-Villafuerte1, Muchandifunga Trust Muchadeyi1, Michael Schlander1,3.   

Abstract

To analyse published evidence on the economic evaluation of risk-based screening (RBS), a full systematic literature review was conducted. After a quality appraisal, we compared the cost-effectiveness of risk-based strategies (low-risk, medium-risk, and high-risk) with no screening and age-based screening. Studies were also analysed for modelling, risk stratification methods, input parameters, data sources, and harms and benefits. The ten modelling papers analysed were based on screening performance of film-based mammography (FBM) (three), digital mammography (DM) & FBM (two), DM alone (three), DM, ultrasound (US) and magnetic resonance imaging (one) and DM & US (one). Seven studies did not include cost of risk-stratification, and one did not consider the cost of diagnosis. Disutility was incorporated in only six studies (one for screening and five for diagnosis). None of the studies reported disutility of risk-stratification (being considered as high-risk). Risk-stratification methods varied from only breast density (BD) to the combination of familial risk, genetic susceptibility, lifestyle, previous biopsies, Jewish ancestry, and reproductive history. Less or no screening in low-risk women and more frequent mammography screening in high-risk women was more cost-effective compared to no screening and age-based screening. High-risk women screened annually yielded a higher mortality rate reduction and more quality-adjusted life years at the expense of higher cost and false positives. RBS can be cost effective compared to the alternatives. However, heterogeneity among risk-stratification methods, input parameters, and weaknesses in the methodologies hinder the derivation of robust conclusions. Therefore, further studies are warranted to assess newer technologies and innovative risk-stratification methods. This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  Breast cancer; decision making; economic evaluation; risk-adapted screening; risk-based screening; risk-stratified screening; simulation models

Year:  2021        PMID: 33844853     DOI: 10.1002/ijc.33593

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  5 in total

1.  Management of Non-Mass Enhancement at Breast Magnetic Resonance in Screening Settings Referred for Magnetic Resonance-Guided Biopsy.

Authors:  Eduardo de Faria Castro Fleury; Caio Castro; Mario Sergio Campos do Amaral; Décio Roveda Junior
Journal:  Breast Cancer (Auckl)       Date:  2022-05-16

2.  Barriers and Facilitators to the Implementation of a Personalized Breast Cancer Screening Program: Views of Spanish Health Professionals.

Authors:  Celmira Laza-Vásquez; María José Hernández-Leal; Misericòrdia Carles-Lavila; Maria José Pérez-Lacasta; Inés Cruz-Esteve; Montserrat Rué
Journal:  Int J Environ Res Public Health       Date:  2022-01-27       Impact factor: 3.390

3.  Views of health professionals on risk-based breast cancer screening and its implementation in the Spanish National Health System: A qualitative discussion group study.

Authors:  Celmira Laza-Vásquez; Núria Codern-Bové; Àngels Cardona-Cardona; Maria José Hernández-Leal; Maria José Pérez-Lacasta; Misericòrdia Carles-Lavila; Montserrat Rué
Journal:  PLoS One       Date:  2022-02-04       Impact factor: 3.240

4.  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

5.  Feasibility and Acceptability of Personalized Breast Cancer Screening (DECIDO Study): A Single-Arm Proof-of-Concept Trial.

Authors:  Celmira Laza-Vásquez; Montserrat Martínez-Alonso; Carles Forné-Izquierdo; Jordi Vilaplana-Mayoral; Inés Cruz-Esteve; Isabel Sánchez-López; Mercè Reñé-Reñé; Cristina Cazorla-Sánchez; Marta Hernández-Andreu; Gisela Galindo-Ortego; Montserrat Llorens-Gabandé; Anna Pons-Rodríguez; Montserrat Rué
Journal:  Int J Environ Res Public Health       Date:  2022-08-21       Impact factor: 4.614

  5 in total

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