Articles producció científica> Economia

Effectiveness of early detection on breast cancer mortality reduction in Catalonia (Spain)

  • Datos identificativos

    Identificador: imarina:6386125
    Autores:
    Rue MVilaprinyo ELee SMartinez-Alonso MCarles MMarcos-Gragera RPla REspinas J
    Resumen:
    Background: At present, it is complicated to use screening trials to determine the optimal age intervals and periodicities of breast cancer early detection. Mathematical models are an alternative that has been widely used. The aim of this study was to estimate the effect of different breast cancer early detection strategies in Catalonia (Spain), in terms of breast cancer mortality reduction (MR) and years of life gained (YLG), using the stochastic models developed by Lee and Zelen (LZ). Methods: We used the LZ model to estimate the cumulative probability of death for a cohort exposed to different screening strategies after T years of follow-up. We also obtained the cumulative probability of death for a cohort with no screening. These probabilities were used to estimate the possible breast cancer MR and YLG by age, period and cohort of birth. The inputs of the model were: incidence of, mortality from and survival after breast cancer, mortality from other causes, distribution of breast cancer stages at diagnosis and sensitivity of mammography. The outputs were relative breast cancer MR and YLG. Results: Relative breast cancer MR varied from 20% for biennial exams in the 50 to 69 age interval to 30% for annual exams in the 40 to 74 age interval. When strategies differ in periodicity but not in the age interval of exams, biennial screening achieved almost 80% of the annual screening MR. In contrast to MR, the effect on YLG of extending screening from 69 to 74 years of age was smaller than the effect of extending the screening from 50 to 45 or 40 years. Conclusion: In this study we have obtained a measure of the effect of breast cancer screening in terms of mortality and years of life gained. The Lee and Zelen mathematical models have been very useful for assessing the impac
  • Otros:

    Autor según el artículo: Rue M; Vilaprinyo E; Lee S; Martinez-Alonso M; Carles M; Marcos-Gragera R; Pla R; Espinas J
    Departamento: Economia
    Autor/es de la URV: Carles Lavila, Misericòrdia / Espinas Pinol, Josep Alfons / Pla Farnòs, Roger Jesús
    Palabras clave: Deteccion precoz Cáncer de mama
    Resumen: Background: At present, it is complicated to use screening trials to determine the optimal age intervals and periodicities of breast cancer early detection. Mathematical models are an alternative that has been widely used. The aim of this study was to estimate the effect of different breast cancer early detection strategies in Catalonia (Spain), in terms of breast cancer mortality reduction (MR) and years of life gained (YLG), using the stochastic models developed by Lee and Zelen (LZ). Methods: We used the LZ model to estimate the cumulative probability of death for a cohort exposed to different screening strategies after T years of follow-up. We also obtained the cumulative probability of death for a cohort with no screening. These probabilities were used to estimate the possible breast cancer MR and YLG by age, period and cohort of birth. The inputs of the model were: incidence of, mortality from and survival after breast cancer, mortality from other causes, distribution of breast cancer stages at diagnosis and sensitivity of mammography. The outputs were relative breast cancer MR and YLG. Results: Relative breast cancer MR varied from 20% for biennial exams in the 50 to 69 age interval to 30% for annual exams in the 40 to 74 age interval. When strategies differ in periodicity but not in the age interval of exams, biennial screening achieved almost 80% of the annual screening MR. In contrast to MR, the effect on YLG of extending screening from 69 to 74 years of age was smaller than the effect of extending the screening from 50 to 45 or 40 years. Conclusion: In this study we have obtained a measure of the effect of breast cancer screening in terms of mortality and years of life gained. The Lee and Zelen mathematical models have been very useful for assessing the impact of different modalities of early detection on MR and YLG in Catalonia (Spain). © 2009 Rue et al; licensee BioMed Central Ltd.
    Áreas temáticas: Saúde coletiva Química Planejamento urbano e regional / demografia Oncology Odontología Nutrição Medicina veterinaria Medicina iii Medicina ii Medicina i Interdisciplinar Genetics Farmacia Ensino Engenharias iii Engenharias ii Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciência de alimentos Ciência da computação Cancer research Biotecnología Biodiversidade Administração, ciências contábeis e turismo
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 1471-2407
    Direcció de correo del autor: rogerjesus.pla@urv.cat misericordia.carles@urv.cat
    Identificador del autor: 0000-0002-3727-8933 0000-0003-3796-3014
    Fecha de alta del registro: 2024-09-28
    Volumen de revista: 9
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://bmccancer.biomedcentral.com/articles/10.1186/1471-2407-9-326
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Bmc Cancer. 9 326-
    Referencia de l'ítem segons les normes APA: Rue M; Vilaprinyo E; Lee S; Martinez-Alonso M; Carles M; Marcos-Gragera R; Pla R; Espinas J (2009). Effectiveness of early detection on breast cancer mortality reduction in Catalonia (Spain). Bmc Cancer, 9(), 326-. DOI: 10.1186/1471-2407-9-326
    DOI del artículo: 10.1186/1471-2407-9-326
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2009
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Cancer Research,Genetics,Oncology
    Deteccion precoz
    Cáncer de mama
    Saúde coletiva
    Química
    Planejamento urbano e regional / demografia
    Oncology
    Odontología
    Nutrição
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Interdisciplinar
    Genetics
    Farmacia
    Ensino
    Engenharias iii
    Engenharias ii
    Educação física
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciência de alimentos
    Ciência da computação
    Cancer research
    Biotecnología
    Biodiversidade
    Administração, ciências contábeis e turismo
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