| Titre : | A population-based assessment of the prognostic value of the CD19 positive lymphocyte count in B-cell chronic lymphocytic leukemia using Cox and Markov models. (2005) |
| Auteurs : | R. CAILLIOD ; C. BINQUET ; P.M. CARLI ; V. JOOSTE ; G. LE TEUFF ; M. Maynadie ; C. Quantin ; Centre Hospitalier Universitaire. Service de Biostatistique et Informatique Médicale. Dijon. FRA ; Registre des Hémopathies Malignes de Côte d'Or. Equipe associée Inserm. Dijon. FRA |
| Type de document : | Article |
| Dans : | European journal of epidemiology (vol. 20, n° 12, 2005) |
| Pagination : | 993-1001 |
| Langues: | Anglais |
| Mots-clés : | Registre population ; Population ; Valeur prédictive ; Homme ; Registre ; Survie ; Evolution ; Sévérité ; Epidémiologie |
| Résumé : | [BDSP. Notice produite par INIST-CNRS k5WV6R0x. Diffusion soumise à autorisation]. No population-based study has assessed the prognostic impact on survival of the CD19 positive lymphocyte count, evaluated by immunophenotyping at diagnosis, in B-cell chronic lymphocytic leukemia (B-CLL). Aiming at addressing this issue, we investigated the clinical outcome of a well-defined population of B-CLL patients. Survival of B-CLL patients, diagnosed between 1990 and 1999 and recorded by the Registry of Hematological Malignancies of the Côte d'Or, was analysed applying Cox's regression model to the 237 included cases and to the 195 Binet stage A patients. To assess simultaneously the predictive value of each parameter on the risk of disease progression and on the risk of death, we completed this analysis by applying a three-states homogeneous Markov model to the whole study population. Analysis of the entire population showed that age (p |
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