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2 results on '"MESH: Neoplasm Staging"'

1. Incidence and survival of gastric non-Hodgkin's lymphoma: A population-based study from the Association of the French Cancer Registries (FRANCIM)

Author

Danzon, Arlette, Belot, Aurélien, Maynadié, Marc, Remontet, Laurent, Dupont, Anne Claire Gossart, Carbonnel, Franck, Renseigné, Non, FRANCIM, Réseau des registres français du cancer, Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (UR 3181) (CEF2P / CARCINO), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Service de Biostatistique, Hospices Civils de Lyon (HCL), Biostatistiques santé, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Département des maladies chroniques et traumatismes, Institut de Veille Sanitaire (INVS), Registre des hémopathies malignes de Côte d'Or, Service de biostatistique, Agents pathogènes et inflammation - UFC (EA 4266) (API), Université de Franche-Comté (UFC), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (EA 3181) (CEF2P / CARCINO), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC ( CEF2P / CARCINO ), Centre Hospitalier Régional Universitaire [Besançon] ( CHRU Besançon ) -Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC ), Hospices Civils de Lyon ( HCL ), Laboratoire de Biométrie et Biologie Evolutive ( LBBE ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique ( Inria ) -Centre National de la Recherche Scientifique ( CNRS ), Agents pathogènes et inflammation - UFC (EA 4266) ( API ), and Université de Franche-Comté ( UFC )

Subjects
Male, Multivariate analysis, MESH: Registries, MESH : Age Distribution, MESH : Aged, 0302 clinical medicine, MESH: Lymphoma, Non-Hodgkin, Risk Factors, MESH: Risk Factors, Epidemiology, MESH : Stomach Neoplasms, MESH : Neoplasm Staging, MESH : Female, Registries, MESH: Incidence, 030212 general & internal medicine, Age of Onset, MESH : Sex Distribution, MESH: Aged, MESH : Prognosis, MESH: Middle Aged, Relative survival, Incidence, Lymphoma, Non-Hodgkin, Incidence (epidemiology), MESH: Sex Distribution, Not Otherwise Specified, MESH: Stomach Neoplasms, MESH: Neoplasm Staging, Hematology, General Medicine, Middle Aged, MESH : Adult, Prognosis, MESH : Risk Factors, MESH : Incidence, MESH : Age of Onset, 3. Good health, Oncology, MESH: Young Adult, MESH: Survival Analysis, 030220 oncology & carcinogenesis, Female, [ SDV.MHEP.HEG ] Life Sciences [q-bio]/Human health and pathology/Hépatology and Gastroenterology, France, Adult, medicine.medical_specialty, Adolescent, MESH : Male, MESH: Age of Onset, MESH : Young Adult, MESH: Multivariate Analysis, MESH: Prognosis, Young Adult, 03 medical and health sciences, Age Distribution, Stomach Neoplasms, MESH : Adolescent, Internal medicine, medicine, Humans, MESH : Middle Aged, MESH : Lymphoma, Non-Hodgkin, Radiology, Nuclear Medicine and imaging, Sex Distribution, MESH : France, MESH: Age Distribution, Survival analysis, Aged, Neoplasm Staging, MESH: Adolescent, MESH: Humans, business.industry, MESH : Humans, MESH : Multivariate Analysis, Cancer, MESH: Adult, [SDV.MHEP.HEG]Life Sciences [q-bio]/Human health and pathology/Hépatology and Gastroenterology, medicine.disease, Survival Analysis, MESH: Male, MESH: France, Multivariate Analysis, Immunology, MESH : Survival Analysis, Age of onset, business, MESH: Female, MESH : Registries
Abstract

International audience; BACKGROUND: Most epidemiological studies on gastric lymphomas (GL) were carried out before changes in therapy were introduced. The aim of the study was to measure the incidence of GL and to estimate survival. MATERIAL AND METHODS: Data were provided by the Association of the French Cancer Registries database. Age-standardized incidence rates were calculated for 786 incident cases diagnosed between 1978 and 2002. Crude and relative survival were calculated for 361 cases diagnosed between 1989 and 1997. Effects specific to sex, age at diagnosis, year of diagnosis, and grade of malignancy were estimated in multivariate analysis. RESULTS: Incidence was stable during the study period. However, high-grade GL frequency increased whereas low-grade and not otherwise specified (NOS) GL frequencies were respectively stable and decreased. At 5 years, relative survival was 63% in men and 60% in women. Patients aged 75 or older had a five-year relative survival of 33%. Age at diagnosis was the only significant prognostic factor in multivariate analysis. Time trend improvement in prognosis was observed. DISCUSSION: Results in elderly patients show that therapeutic regimens should be specifically designed and assessed for them. The prognosis improvement trend is probably related to the implementation of changes in management of patients and has to be confirmed by more recent data.

Published
2009

2. Disease progression and survival in ALS: First multi‐state model approach

Author

Jean-Claude Desport, Ahmadou Alioum, Philippe Couratier, Carlos Ketzoian, Pierre-Marie Preux, Michel Druet-Cabanac, Juan Gil, Neuroépidémiologie Tropicale et Comparée (NETEC), Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST FR CNRS 3503)-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Université de Limoges (UNILIM), Laboratoire de Biostatistique et d'Informatique Médicale, Université de Limoges (UNILIM), Service de l'Information Médicale et de l'Évaluation [CHU Limoges] (SIME), CHU Limoges, Service d'Hépato-Gastro-Entérologie et Nutrition [CHU Limoges], Service de Santé au Travail [CHU Limoges], Unité Fonctionnelle Registre Général des Cancers du Limousin (UFRGC), and Service de Neurologie [CHU Limoges]

Subjects
Male, Oncology, Pathology, MESH: Taxoids, MESH: Comorbidity, 01 natural sciences, Body Mass Index, Cohort Studies, 010104 statistics & probability, 0302 clinical medicine, Outcome Assessment, Health Care, Epidemiology, Age of Onset, Amyotrophic lateral sclerosis, 10. No inequality, MESH: Cohort Studies, MESH: Amyotrophic Lateral Sclerosis, MESH: Treatment Outcome, MESH: Aged, 2. Zero hunger, MESH: Antimetabolites, Antineoplastic, MESH: Middle Aged, Multi state, Respiration, Clinical course, MESH: Neoplasm Staging, General Medicine, Middle Aged, Markov Chains, MESH: Antineoplastic Combined Chemotherapy Protocols, Neurology, Disease Progression, MESH: Disease Progression, Female, medicine.medical_specialty, MESH: Age of Onset, MESH: Pleural Neoplasms, MESH: Body Mass Index, 03 medical and health sciences, MESH: Markov Chains, MESH: Analysis of Variance, MESH: Severity of Illness Index, Internal medicine, medicine, Humans, MESH: Patient Selection, 0101 mathematics, MESH: Outcome Assessment (Health Care), Aged, Retrospective Studies, MESH: Age Factors, MESH: Respiration, Analysis of Variance, MESH: Humans, business.industry, MESH: Deoxycytidine, Amyotrophic Lateral Sclerosis, Disease progression, MESH: Retrospective Studies, medicine.disease, MESH: Male, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Neurology (clinical), business, MESH: Female, Neurological impairment, Body mass index, MESH: Carcinoma, Non-Small-Cell Lung, 030217 neurology & neurosurgery, Clinical progression
Abstract

Although several prognostic factors have been identified in ALS, there remains some discordance concerning the prognostic significance of the age and clinical form at onset. In order to clarify these findings, we have analysed already known prognostic factors using a multi-state model. Two hundred and twenty-two sporadic ALS patients were followed. A simple unidirectional three-states model was used to summarize clinical course of ALS. States 1 and 2 reflected the progression of neurological impairment and state 3 represented the end of follow-up (tracheotomy or death). Gender, diagnostic delay, body mass index (BMI) and slow vital capacity (SVC) were also recorded. A time-inhomogeneous Markov model with piecewise constant transition intensities was used to estimate the effect of the covariates in each transition. The bulbar form at onset was only correlated with a more rapid clinical progression between state 1 and state 2. In contrast, an advanced age at diagnosis affected only survival from state 2. This methodological approach suggests that these two factors have a different prognostic significance: age at onset is related to patient's survival and the clinical form at onset predicts the progression of motoneuronal impairment in different regions.

Published
2007

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