IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2022i1p405-d1016087.html
   My bibliography  Save this article

Ten-Year Probabilities of Death Due to Cancer and Cardiovascular Disease among Breast Cancer Patients Diagnosed in North-Eastern Spain

Author

Listed:
  • Ramon Clèries

    (Pla Director d’Oncología, Av Gran Vía 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
    Bellvitge Biomedical Research Institute, IDIBELL, Av. Gran Via de l’Hospitalet, 199-203-1a planta, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
    Clinical Sciences Department, Universitat de Barcelona, 08907 Barcelona, Spain)

  • Alberto Ameijide

    (Tarragona Cancer Registry, Epidemiology and Cancer Prevention Service, Hospital Universitari Sant Joan de Reus, IISPV, 43204 Reus, Spain)

  • Maria Buxó

    (Girona Biomedical Research Institute, IDIBGI, C/Dr. Castany s/n, Edifici M2, Parc Hospitalari Martí i Julià, 17190 Salt, Spain)

  • Mireia Vilardell

    (Independent Researcher, 08700 Barcelona, Spain)

  • José Miguel Martínez

    (Statistics and Operational Research Department, Universitat Politècnica de Catalunya, EDIFICI H, Diagonal 647, 08028 Barcelona, Spain
    Public Health Research Group, University of Alicante, 03690 Alicante, Spain)

  • Rebeca Font

    (Pla Director d’Oncología, Av Gran Vía 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
    Bellvitge Biomedical Research Institute, IDIBELL, Av. Gran Via de l’Hospitalet, 199-203-1a planta, 08908 L’Hospitalet de Llobregat, Barcelona, Spain)

  • Rafael Marcos-Gragera

    (Girona Biomedical Research Institute, IDIBGI, C/Dr. Castany s/n, Edifici M2, Parc Hospitalari Martí i Julià, 17190 Salt, Spain
    Girona Cancer Registry, Epidemiology Unit, Pla Director d’Oncologia, Institut Català d’Oncología, Group for Descriptive Epidemiology, Genetics and Cancer Prevention, Girona-IDIBGI, 17005 Girona, Spain
    Medical School, Universitat de Girona (UdG), 17071 Girona, Spain
    Epidemiology and Public Health Research Network Centre (CIBERESP), 28029 Madrid, Spain)

  • Montse Puigdemont

    (Girona Cancer Registry, Epidemiology Unit, Pla Director d’Oncologia, Institut Català d’Oncología, Group for Descriptive Epidemiology, Genetics and Cancer Prevention, Girona-IDIBGI, 17005 Girona, Spain)

  • Gemma Viñas

    (Medical Oncology Service, Catalan Institute of Oncology, Hospital Universitari de Girona “Doctor Josep Trueta”, 17005 Girona, Spain)

  • Marià Carulla

    (Tarragona Cancer Registry, Epidemiology and Cancer Prevention Service, Hospital Universitari Sant Joan de Reus, IISPV, 43204 Reus, Spain)

  • Josep Alfons Espinàs

    (Pla Director d’Oncología, Av Gran Vía 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
    Bellvitge Biomedical Research Institute, IDIBELL, Av. Gran Via de l’Hospitalet, 199-203-1a planta, 08908 L’Hospitalet de Llobregat, Barcelona, Spain)

  • Jaume Galceran

    (Tarragona Cancer Registry, Epidemiology and Cancer Prevention Service, Hospital Universitari Sant Joan de Reus, IISPV, 43204 Reus, Spain)

  • Ángel Izquierdo

    (Girona Cancer Registry, Epidemiology Unit, Pla Director d’Oncologia, Institut Català d’Oncología, Group for Descriptive Epidemiology, Genetics and Cancer Prevention, Girona-IDIBGI, 17005 Girona, Spain
    Medical Oncology Service, Catalan Institute of Oncology, Hospital Universitari de Girona “Doctor Josep Trueta”, 17005 Girona, Spain)

  • Josep Maria Borràs

    (Pla Director d’Oncología, Av Gran Vía 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
    Bellvitge Biomedical Research Institute, IDIBELL, Av. Gran Via de l’Hospitalet, 199-203-1a planta, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
    Clinical Sciences Department, Universitat de Barcelona, 08907 Barcelona, Spain)

Abstract

Mortality from cardiovascular disease (CVD), second tumours, and other causes is of clinical interest in the long-term follow-up of breast cancer (BC) patients. Using a cohort of BC patients (N = 6758) from the cancer registries of Girona and Tarragona (north-eastern Spain), we studied the 10-year probabilities of death due to BC, other cancers, and CVD according to stage at diagnosis and hormone receptor (HR) status. Among the non-BC causes of death (N = 720), CVD (N = 218) surpassed other cancers (N = 196). The BC cohort presented a significantly higher risk of death due to endometrial and ovarian cancers than the general population. In Stage I, HR− patients showed a 1.72-fold higher probability of all-cause death and a 6.11-fold higher probability of breast cancer death than HR+ patients. In Stages II–III, the probability of CVD death (range 3.11% to 3.86%) surpassed that of other cancers (range 0.54% to 3.11%). In Stage IV patients, the probability of death from any cancer drove the mortality risk. Promoting screening and preventive measures in BC patients are warranted, since long-term control should encompass early detection of second neoplasms, ruling out the possibility of late recurrence. In patients diagnosed in Stages II–III at an older age, surveillance for preventing late cardiotoxicity is crucial.

Suggested Citation

  • Ramon Clèries & Alberto Ameijide & Maria Buxó & Mireia Vilardell & José Miguel Martínez & Rebeca Font & Rafael Marcos-Gragera & Montse Puigdemont & Gemma Viñas & Marià Carulla & Josep Alfons Espinàs &, 2022. "Ten-Year Probabilities of Death Due to Cancer and Cardiovascular Disease among Breast Cancer Patients Diagnosed in North-Eastern Spain," IJERPH, MDPI, vol. 20(1), pages 1-17, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:405-:d:1016087
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/1/405/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/1/405/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ramon Clèries & Maria Buxó & Mireia Vilardell & Alberto Ameijide & José Miguel Martínez & Rebeca Font & Rafael Marcos-Gragera & Montse Puigdemont & Gemma Viñas & Marià Carulla & Josep Alfons Espinàs &, 2022. "No Excess Mortality up to 10 Years in Early Stages of Breast Cancer in Women Adherent to Oral Endocrine Therapy: A Probabilistic Graphical Modeling Approach," IJERPH, MDPI, vol. 19(6), pages 1-17, March.
    2. Sturtz, Sibylle & Ligges, Uwe & Gelman, Andrew, 2005. "R2WinBUGS: A Package for Running WinBUGS from R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i03).
    3. Paula Peremiquel-Trillas & Jon Frias-Gomez & Laia Alemany & Alberto Ameijide & Mireia Vilardell & Rafael Marcos-Gragera & Sònia Paytubi & Jordi Ponce & José Manuel Martínez & Marta Pineda & Joan Brune, 2022. "Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age–Period–Cohort Modelling," IJERPH, MDPI, vol. 19(3), pages 1-8, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lachaud, Michée A. & Bravo-Ureta, Boris E., 2022. "A Bayesian statistical analysis of return to agricultural R&D investment in Latin America: Implications for food security," Technology in Society, Elsevier, vol. 70(C).
    2. Yu, Jun, 2012. "A semiparametric stochastic volatility model," Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
    3. Liang, Zhongyao & Qian, Song S. & Wu, Sifeng & Chen, Huili & Liu, Yong & Yu, Yanhong & Yi, Xuan, 2019. "Using Bayesian change point model to enhance understanding of the shifting nutrients-phytoplankton relationship," Ecological Modelling, Elsevier, vol. 393(C), pages 120-126.
    4. Qian Wu & Monique Vanerum & Anouk Agten & Andrés Christiansen & Frank Vandenabeele & Jean-Michel Rigo & Rianne Janssen, 2021. "Certainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 518-543, June.
    5. Horrocks, Julie & Rueffer, Matthew, 2014. "A Bayesian approach to estimating animal density from binary acoustic transects," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 17-25.
    6. Sakshaug Joseph W. & Wiśniowski Arkadiusz & Ruiz Diego Andres Perez & Blom Annelies G., 2019. "Supplementing Small Probability Samples with Nonprobability Samples: A Bayesian Approach," Journal of Official Statistics, Sciendo, vol. 35(3), pages 653-681, September.
    7. Eugenia Buta & Stephanie S. O’Malley & Ralitza Gueorguieva, 2018. "Bayesian joint modelling of longitudinal data on abstinence, frequency and intensity of drinking in alcoholism trials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(3), pages 869-888, June.
    8. Millington, James D.A. & Walters, Michael B. & Matonis, Megan S. & Liu, Jianguo, 2013. "Filling the gap: A compositional gap regeneration model for managed northern hardwood forests," Ecological Modelling, Elsevier, vol. 253(C), pages 17-27.
    9. Marc Marí-Dell’Olmo & Miguel Ángel Martínez-Beneito, 2015. "A Multilevel Regression Model for Geographical Studies in Sets of Non-Adjacent Cities," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-12, August.
    10. Zhao, Qing & Boomer, G. Scott & Silverman, Emily & Fleming, Kathy, 2017. "Accounting for the temporal variation of spatial effect improves inference and projection of population dynamics models," Ecological Modelling, Elsevier, vol. 360(C), pages 252-259.
    11. Adrian D Vickers & Claire Ainsworth & Reema Mody & Annika Bergman & Caroline S Ling & Jasmina Medjedovic & Michael Smyth, 2016. "Systematic Review with Network Meta-Analysis: Comparative Efficacy of Biologics in the Treatment of Moderately to Severely Active Ulcerative Colitis," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-21, October.
    12. Marco Gramatica & Peter Congdon & Silvia Liverani, 2021. "Bayesian modelling for spatially misaligned health areal data: A multiple membership approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 645-666, June.
    13. Yong Li & Zeng Tao & Jun Yu, "undated". "Robust Deviance Information Criterion for Latent Variable Models," Working Papers CoFie-04-2012, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    14. repec:jss:jstsof:36:c01 is not listed on IDEAS
    15. Abadi, Fitsum & Gimenez, Olivier & Jakober, Hans & Stauber, Wolfgang & Arlettaz, Raphaël & Schaub, Michael, 2012. "Estimating the strength of density dependence in the presence of observation errors using integrated population models," Ecological Modelling, Elsevier, vol. 242(C), pages 1-9.
    16. Leandro García Barrado & Els Coart & Tomasz Burzykowski, 2017. "Estimation of diagnostic accuracy of a combination of continuous biomarkers allowing for conditional dependence between the biomarkers and the imperfect reference-test," Biometrics, The International Biometric Society, vol. 73(2), pages 646-655, June.
    17. Shirin Moghaddam & John Newell & John Hinde, 2022. "A Bayesian Approach for Imputation of Censored Survival Data," Stats, MDPI, vol. 5(1), pages 1-19, January.
    18. Alina Jędrzejczak & Jan Kubacki, 2016. "Small Area Estimation of Income Under Spatial Sar Model," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 17(3), pages 365-390, September.
    19. Będowska-Sójka, Barbara & Kliber, Agata, 2022. "Can cryptocurrencies hedge oil price fluctuations? A pandemic perspective," Energy Economics, Elsevier, vol. 115(C).
    20. Earl W Duncan & Kerrie L Mengersen, 2020. "Comparing Bayesian spatial models: Goodness-of-smoothing criteria for assessing under- and over-smoothing," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-28, May.
    21. repec:jss:jstsof:40:i05 is not listed on IDEAS
    22. Guy Abel & Jakub Bijak & Jonathan J. Forster & James Raymer & Peter W.F. Smith & Jackie S.T. Wong, 2013. "Integrating uncertainty in time series population forecasts: An illustration using a simple projection model," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(43), pages 1187-1226.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:405-:d:1016087. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.