Impact of different age ranges on the benefits and harms of the breast cancer screening programme by the EU-TOPIA tool

Author:

Pinto-Carbó Marina1,Vanaclocha-Espí Mercedes1,Martín-Pozuelo Javier1,Romeo-Cervera Paula1,Hernández-García Marta2,Ibáñez Josefa13,Castán-Cameo Susana14,Salas Dolores1,van Ravesteyn Nicolien T5,de Koning Harry5,Zurriaga Óscar67ORCID,Molina-Barceló Ana1

Affiliation:

1. Cancer and Public Health Research Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health) , Valencia, Spain

2. Environmental Health Service, Utiel Public Health Centre, Ministry of Universal and Public Health , Utiel, Valencia Region, Spain

3. Healthcare Integration Service, Directorate General for Health Care, Regional Ministry of Health , Valencia, Spain

4. Screening Programs Service, General Directorate of Public Health, Regional Ministry of Health , Valencia, Spain

5. Department of Public Health, Erasmus MC University Medical Center , Rotterdam, The Netherlands

6. Department of Preventive Medicine and Public Health, Food Sciences, Toxicology and Legal Medicine, University of Valencia , Valencia, Spain

7. Joint Research Unit on Rare Diseases, FISABIO-University of Valencia (FISABIO-UVEG) , Valencia, Spain

Abstract

Abstract Background The recommendation for the implementation of mammography screening in women aged 45–49 and 70–74 is conditional with moderate certainty of the evidence. The aim of this study is to simulate the long-term outcomes (2020–50) of using different age range scenarios in the breast cancer screening programme of the Valencia Region (Spain), considering different programme participation rates. Methods Three age range scenarios (S) were simulated with the EU-TOPIA tool, considering a biennial screening interval: S1, 45–69 years old (y); S2, 50–69 y and S3, 45–74 y. Simulations were performed for four participation rates: A = current participation (72.7%), B = +5%, C = +10% and D = +20%. Considered benefits: number (N°) of in situ and invasive breast cancers (BC) (screen vs. clinically detected), N° of BC deaths and % BC mortality reduction. Considered harms: N° of false positives (FP) and % overdiagnosis. Results The results showed that BC mortality decreased in all scenarios, being higher in S3A (32.2%) than S1A (30.6%) and S2A (27.9%). Harms decreased in S2A vs. S1A (N° FP: 236 vs. 423, overdiagnosis: 4.9% vs. 5.0%) but also benefits (BC mortality reduction: 27.9% vs. 30.6%, N° screen-detected invasive BC 15/28 vs. 18/25). In S3A vs. S1A, an increase in benefits was observed (BC mortality reduction: 32.2% vs. 30.6%), N° screen-detected in situ B: 5/2 vs. 4/3), but also in harms (N° FP: 460 vs. 423, overdiagnosis: 5.8% vs. 5.0%). Similar trends were observed with increased participation. Conclusions As the age range increases, so does not only the reduction in BC mortality, but also the probability of FP and overdiagnosis.

Publisher

Oxford University Press (OUP)

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