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  1. A Markov model of the natural history of prostate cancer.

    Article - En anglais

    The objective of this study was to lay a foundation for future cost-benefit analyses evaluating the public health impact of treatment and screening protocols for prostate cancer.

    Specifically we wanted to define the relative impact on cancer-specific mortality rates of the individual epidemiological components: pathological incidences by age groups, cancer progression rates, and the effect of competing causes of death, assuming expectant management (i.e. no definitive treatment).

    A biological model of prostate cancer incidence and progression was converted into a standard Markov tree where competing causes of death could occur.

    Weighted averages of progression rates were obtained from clinical studies.

    Separate cohorts of 30 year old black and white men were followed for 50 years.

    Mots-clés Pascal : Tumeur maligne, Prostate, Epidémiologie, Homme, Simulation ordinateur, Arbre décision, Modèle, Race, Age, Analyse décision, Appareil génital mâle pathologie, Appareil urinaire pathologie, Prostate pathologie

    Mots-clés Pascal anglais : Malignant tumor, Prostate, Epidemiology, Human, Computer simulation, Decision tree, Models, Race, Age, Decision analysis, Male genital diseases, Urinary system disease, Prostatic disease

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 94-0173897

    Code Inist : 002B14D02. Création : 199406.