Space-time analysis of ovarian cancer mortality rates by age groups in spanish provinces (1989-2015)

Ovarian cancer is a silent and largely asymptomatic cancer, leading to late diagnosis and worse prognosis. The late-stage detection and low survival rates, makes the study of the space-time evolution of ovarian cancer particularly relevant. In addition, research of this cancer in small areas (like p...

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Veröffentlicht in:BMC public health 2020-08, Vol.20 (1), p.1244-1244, Article 1244
Hauptverfasser: Trandafir, Paula Camelia, Adin, Aritz, Ugarte, María Dolores
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description Ovarian cancer is a silent and largely asymptomatic cancer, leading to late diagnosis and worse prognosis. The late-stage detection and low survival rates, makes the study of the space-time evolution of ovarian cancer particularly relevant. In addition, research of this cancer in small areas (like provinces or counties) is still scarce. The study presented here covers all ovarian cancer deaths for women over 50 years of age in the provinces of Spain during the period 1989-2015. Spatio-temporal models have been fitted to smooth ovarian cancer mortality rates in age groups [50,60), [60,70), [70,80), and [80,+), borrowing information from spatial and temporal neighbours. Model fitting and inference has been carried out using the Integrated Nested Laplace Approximation (INLA) technique. Large differences in ovarian cancer mortality among the age groups have been found, with higher mortality rates in the older age groups. Striking differences are observed between northern and southern Spain. The global temporal trends (by age group) reveal that the evolution of ovarian cancer over the whole of Spain has remained nearly constant since the early 2000s. Differences in ovarian cancer mortality exist among the Spanish provinces, years, and age groups. As the exact causes of ovarian cancer remain unknown, spatio-temporal analyses by age groups are essential to discover inequalities in ovarian cancer mortality. Women over 60 years of age should be the focus of follow-up studies as the mortality rates remain constant since 2002. High-mortality provinces should also be monitored to look for specific risk factors.
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subjects Age
Age Factors
Age groups
Age-space-time models
Aged
Asbestos
Cancer
Demographic aspects
Disease mapping
Distribution
Evolution
Female
Gynecology
Health Status Disparities
Hormone replacement therapy
Humans
Industrialized nations
INLA
Medical prognosis
Middle Aged
Mortality
Mortality - trends
Ovarian cancer
Ovarian cancer mortality
Ovarian Neoplasms - mortality
Patient outcomes
Population
Provinces
Public health
Risk analysis
Risk Factors
Smoothing
Spacetime
Spain - epidemiology
Spatio-Temporal Analysis
Survival
Survival Rate
Tumors
Womens health
title Space-time analysis of ovarian cancer mortality rates by age groups in spanish provinces (1989-2015)
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