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Monitoring the decreasing trend of testicular cancer mortality in Spain during 2005–2019 through a Bayesian approach

Abstract Purpose : To assess time trends of testicular cancer (TC) mortality in Spain for period 1985–2019 for age groups 15–74 years old through a Bayesian age–period–cohort (APC) analysis. Methods : A Bayesian age–drift model has been fitted to describe trends. Projections for 2005–2019 have been...

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Published in:Cancer epidemiology 2010-06, Vol.34 (3), p.244-256
Main Authors: Clèries, Ramon, Martínez, José Miguel, Escribà, Josep Maria, Esteban, Laura, Pareja, Laura, Borràs, Josep Maria, Ribes, Josepa
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container_title Cancer epidemiology
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creator Clèries, Ramon
Martínez, José Miguel
Escribà, Josep Maria
Esteban, Laura
Pareja, Laura
Borràs, Josep Maria
Ribes, Josepa
description Abstract Purpose : To assess time trends of testicular cancer (TC) mortality in Spain for period 1985–2019 for age groups 15–74 years old through a Bayesian age–period–cohort (APC) analysis. Methods : A Bayesian age–drift model has been fitted to describe trends. Projections for 2005–2019 have been calculated by means of an autoregressive APC model. Prior precision for these parameters has been selected through evaluation of an adaptive precision parameter and 95% credible intervals (95% CRI) have been obtained for each model parameter. Results : A decrease of −2.41% (95% CRI: −3.65%; −1.13%) per year has been found for TC mortality rates in age groups 15–74 during 1985–2004, whereas mortality showed a lower annual decrease when data was restricted to age groups 15–54 (−1.18%; 95% CRI: −2.60%; −0.31%). During 2005–2019 is expected a decrease of TC mortality of 2.30% per year for men younger than 35, whereas a leveling off for TC mortality rates is expected for men older than 35. Conclusions : A Bayesian approach should be recommended to describe and project time trends for those diseases with low number of cases. Through this model it has been assessed that management of TC and advances in therapy led to decreasing trend of TC mortality during the period 1985–2004, whereas a leveling off for these trends can be considered during 2005–2019 among men older than 35.
doi_str_mv 10.1016/j.canep.2010.03.003
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Methods : A Bayesian age–drift model has been fitted to describe trends. Projections for 2005–2019 have been calculated by means of an autoregressive APC model. Prior precision for these parameters has been selected through evaluation of an adaptive precision parameter and 95% credible intervals (95% CRI) have been obtained for each model parameter. Results : A decrease of −2.41% (95% CRI: −3.65%; −1.13%) per year has been found for TC mortality rates in age groups 15–74 during 1985–2004, whereas mortality showed a lower annual decrease when data was restricted to age groups 15–54 (−1.18%; 95% CRI: −2.60%; −0.31%). During 2005–2019 is expected a decrease of TC mortality of 2.30% per year for men younger than 35, whereas a leveling off for TC mortality rates is expected for men older than 35. Conclusions : A Bayesian approach should be recommended to describe and project time trends for those diseases with low number of cases. Through this model it has been assessed that management of TC and advances in therapy led to decreasing trend of TC mortality during the period 1985–2004, whereas a leveling off for these trends can be considered during 2005–2019 among men older than 35.</description><identifier>ISSN: 1877-7821</identifier><identifier>EISSN: 1877-783X</identifier><identifier>DOI: 10.1016/j.canep.2010.03.003</identifier><identifier>PMID: 20381445</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Adolescent ; Adult ; Age Factors ; Aged ; Bayes Theorem ; Bayesian ; Bayesian analysis ; Cancer ; Cohort Studies ; Confidence intervals ; Càncer ; Disease ; Epidemiology ; Espanya ; Hematology, Oncology and Palliative Medicine ; Humans ; Internal Medicine ; Malalties del testicle ; Male ; Middle Aged ; Mortality ; Mortality - trends ; Population Surveillance ; Probability distribution ; Projections ; Spain ; Spain - epidemiology ; Statistical methods ; Studies ; Testicular cancer ; Testicular Neoplasms - mortality ; Testis diseases ; Time trends ; Trends ; Young Adult</subject><ispartof>Cancer epidemiology, 2010-06, Vol.34 (3), p.244-256</ispartof><rights>Elsevier Ltd</rights><rights>2010 Elsevier Ltd</rights><rights>Copyright (c) 2010 Elsevier Ltd. 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ispartof Cancer epidemiology, 2010-06, Vol.34 (3), p.244-256
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language eng
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source ScienceDirect Freedom Collection
subjects Adolescent
Adult
Age Factors
Aged
Bayes Theorem
Bayesian
Bayesian analysis
Cancer
Cohort Studies
Confidence intervals
Càncer
Disease
Epidemiology
Espanya
Hematology, Oncology and Palliative Medicine
Humans
Internal Medicine
Malalties del testicle
Male
Middle Aged
Mortality
Mortality - trends
Population Surveillance
Probability distribution
Projections
Spain
Spain - epidemiology
Statistical methods
Studies
Testicular cancer
Testicular Neoplasms - mortality
Testis diseases
Time trends
Trends
Young Adult
title Monitoring the decreasing trend of testicular cancer mortality in Spain during 2005–2019 through a Bayesian approach
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