IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i6p3605-d774002.html
   My bibliography  Save this article

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

Author

Listed:
  • Ramon Clèries

    (Hospitalet de Llobregat Avenue Gran Vía 199-203, 08908 Barcelona, Spain
    Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Hospitalet de Llobregat, Avenue Gran Via de l’Hospitalet, 199-203-1a Planta, 08908 Barcelona, Spain
    Department de Ciències Clíniques, Universitat de Barcelona, 08907 Barcelona, Spain)

  • Maria Buxó

    (Institut d’Investigació Biomèdica de Girona (IDIBGI), C/Dr. Castany s/n, Edifici M2, Parc Hospitalari Martí i Julià, 17190 Girona, Spain)

  • Mireia Vilardell

    (Independent Researcher, 08700 Barcelona, Spain)

  • Alberto Ameijide

    (Registre de Càncer de Tarragona, Servei d’Epidemiologia i Prevenció del Càncer, Hospital Universitari Sant Joan de Reus (IISPV), 43204 Reus, Spain)

  • José Miguel Martínez

    (Department de Estadística i Investigació Operativa, Universitat Politècnica de Catalunya (EDIFICI H), Diagonal 647, 08028 Barcelona, Spain
    Grupo de Investigación en Salud Pública, Universidad de Alicante, 03690 Alicante, Spain)

  • Rebeca Font

    (Hospitalet de Llobregat Avenue Gran Vía 199-203, 08908 Barcelona, Spain
    Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Hospitalet de Llobregat, Avenue Gran Via de l’Hospitalet, 199-203-1a Planta, 08908 Barcelona, Spain)

  • Rafael Marcos-Gragera

    (Institut d’Investigació Biomèdica de Girona (IDIBGI), C/Dr. Castany s/n, Edifici M2, Parc Hospitalari Martí i Julià, 17190 Girona, Spain
    Registre de Cáncer de Girona-Unitat d’Epidemiologia, Institut Català d’Oncología, 17005 Girona, Spain
    Grup d’Epidemiologia Descriptiva, Genètica i Prevenció del Càncer de Girona-IDIBGI, 17005 Girona, Spain
    Facultat de Medicina, Universitat de Girona (UdG), 17071 Girona, Spain)

  • Montse Puigdemont

    (Registre de Cáncer de Girona-Unitat d’Epidemiologia, Institut Català d’Oncología, 17005 Girona, Spain
    Grup d’Epidemiologia Descriptiva, Genètica i Prevenció del Càncer de Girona-IDIBGI, 17005 Girona, Spain)

  • Gemma Viñas

    (Servei d’Oncología Médica, Institut Català d’Oncología, Hospital Universitari de Girona “Doctor Josep Trueta”, 17005 Girona, Spain)

  • Marià Carulla

    (Registre de Càncer de Tarragona, Servei d’Epidemiologia i Prevenció del Càncer, Hospital Universitari Sant Joan de Reus (IISPV), 43204 Reus, Spain)

  • Josep Alfons Espinàs

    (Hospitalet de Llobregat Avenue Gran Vía 199-203, 08908 Barcelona, Spain
    Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Hospitalet de Llobregat, Avenue Gran Via de l’Hospitalet, 199-203-1a Planta, 08908 Barcelona, Spain)

  • Jaume Galceran

    (Registre de Càncer de Tarragona, Servei d’Epidemiologia i Prevenció del Càncer, Hospital Universitari Sant Joan de Reus (IISPV), 43204 Reus, Spain)

  • Ángel Izquierdo

    (Registre de Cáncer de Girona-Unitat d’Epidemiologia, Institut Català d’Oncología, 17005 Girona, Spain
    Grup d’Epidemiologia Descriptiva, Genètica i Prevenció del Càncer de Girona-IDIBGI, 17005 Girona, Spain
    Servei d’Oncología Médica, Institut Català d’Oncología, Hospital Universitari de Girona “Doctor Josep Trueta”, 17005 Girona, Spain)

  • Josep Maria Borràs

    (Hospitalet de Llobregat Avenue Gran Vía 199-203, 08908 Barcelona, Spain
    Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Hospitalet de Llobregat, Avenue Gran Via de l’Hospitalet, 199-203-1a Planta, 08908 Barcelona, Spain
    Department de Ciències Clíniques, Universitat de Barcelona, 08907 Barcelona, Spain)

Abstract

Breast cancer (BC) is globally the most frequent cancer in women. Adherence to endocrine therapy (ET) in hormone-receptor-positive BC patients is active and voluntary for the first five years after diagnosis. This study examines the impact of adherence to ET on 10-year excess mortality (EM) in patients diagnosed with Stages I to III BC (N = 2297). Since sample size is an issue for estimating age- and stage-specific survival indicators, we developed a method, ComSynSurData, for generating a large synthetic dataset (SynD) through probabilistic graphical modeling of the original cohort. We derived population-based survival indicators using a Bayesian relative survival model fitted to the SynD. Our modeling showed that hormone-receptor-positive BC patients diagnosed beyond 49 years of age at Stage I or beyond 59 years at Stage II do not have 10-year EM if they follow the prescribed ET regimen. This result calls for developing interventions to promote adherence to ET in patients with hormone receptor-positive BC and in turn improving cancer survival. The presented methodology here demonstrates the potential use of probabilistic graphical modeling for generating reliable synthetic datasets for validating population-based survival indicators when sample size is an issue.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3605-:d:774002
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/6/3605/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/6/3605/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    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. Mirjana Glisovic‐Bensa & Walter W. Piegorsch & Edward J. Bedrick, 2024. "Bayesian benchmark dose risk assessment with mixed‐factor quantal data," Environmetrics, John Wiley & Sons, Ltd., vol. 35(5), August.
    20. Będowska-Sójka, Barbara & Kliber, Agata, 2022. "Can cryptocurrencies hedge oil price fluctuations? A pandemic perspective," Energy Economics, Elsevier, vol. 115(C).
    21. 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.

    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:19:y:2022:i:6:p:3605-:d:774002. 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.