Literature DB >> 25907644

Analyzing the evolution of young people's brain cancer mortality in Spanish provinces.

M D Ugarte1, A Adin2, T Goicoa3, G López-Abente4.   

Abstract

OBJECTIVES: To analyze the spatio-temporal evolution of brain cancer relative mortality risks in young population (under 20 years of age) in Spanish provinces during the period 1986-2010.
METHODS: A new and flexible conditional autoregressive spatio-temporal model with two levels of spatial aggregation was used.
RESULTS: Brain cancer relative mortality risks in young population in Spanish provinces decreased during the last years, although a clear increase was observed during the 1990s. The global geographical pattern emphasized a high relative mortality risk in Navarre and a low relative mortality risk in Madrid. Although there is a specific Autonomous Region-time interaction effect on the relative mortality risks this effect is weak in the final estimates when compared to the global spatial and temporal effects.
CONCLUSIONS: Differences in mortality between regions and over time may be caused by the increase in survival rates, the differences in treatment or the availability of diagnostic tools. The increase in relative risks observed in the 1990s was probably due to improved diagnostics with computerized axial tomography and magnetic resonance imaging techniques.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Brain cancer; Disease mapping; INLA; Spatio-temporal trends; Two-level CAR models

Mesh:

Year:  2015        PMID: 25907644     DOI: 10.1016/j.canep.2015.03.013

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  3 in total

1.  Applying spatio-temporal models to assess variations across health care areas and regions: Lessons from the decentralized Spanish National Health System.

Authors:  Julián Librero; Berta Ibañez; Natalia Martínez-Lizaga; Salvador Peiró; Enrique Bernal-Delgado
Journal:  PLoS One       Date:  2017-02-06       Impact factor: 3.240

2.  Modelling local patterns of child mortality risk: a Bayesian Spatio-temporal analysis.

Authors:  Alejandro Lome-Hurtado; Jacques Lartigue-Mendoza; Juan C Trujillo
Journal:  BMC Public Health       Date:  2021-01-06       Impact factor: 3.295

3.  Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia.

Authors:  Aritz Adin; Daniel Adyro Martínez-Bello; Antonio López-Quílez; María Dolores Ugarte
Journal:  PLoS One       Date:  2018-09-11       Impact factor: 3.240

  3 in total

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