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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 |
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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. All rights reserved.</rights><rights>(c) Elsevier, 2010 info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c528t-da77905f7855616092d963615bfd7fbee6af59fcdbf785c016d5ef08d1bdede23</citedby><cites>FETCH-LOGICAL-c528t-da77905f7855616092d963615bfd7fbee6af59fcdbf785c016d5ef08d1bdede23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20381445$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Clèries, Ramon</creatorcontrib><creatorcontrib>Martínez, José Miguel</creatorcontrib><creatorcontrib>Escribà, Josep Maria</creatorcontrib><creatorcontrib>Esteban, Laura</creatorcontrib><creatorcontrib>Pareja, Laura</creatorcontrib><creatorcontrib>Borràs, Josep Maria</creatorcontrib><creatorcontrib>Ribes, Josepa</creatorcontrib><title>Monitoring the decreasing trend of testicular cancer mortality in Spain during 2005–2019 through a Bayesian approach</title><title>Cancer epidemiology</title><addtitle>Cancer Epidemiol</addtitle><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.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Bayes Theorem</subject><subject>Bayesian</subject><subject>Bayesian analysis</subject><subject>Cancer</subject><subject>Cohort Studies</subject><subject>Confidence intervals</subject><subject>Càncer</subject><subject>Disease</subject><subject>Epidemiology</subject><subject>Espanya</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Malalties del testicle</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Mortality - trends</subject><subject>Population Surveillance</subject><subject>Probability distribution</subject><subject>Projections</subject><subject>Spain</subject><subject>Spain - epidemiology</subject><subject>Statistical methods</subject><subject>Studies</subject><subject>Testicular cancer</subject><subject>Testicular Neoplasms - mortality</subject><subject>Testis diseases</subject><subject>Time trends</subject><subject>Trends</subject><subject>Young Adult</subject><issn>1877-7821</issn><issn>1877-783X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFUk2P0zAQjRCIXRZ-ARKyxIFTy9iu7eQAEqz4khZxWJC4Wa492bqkcbGTlXrjP_AP-SVM2rIr7YVIie3ovec386aqnnKYc-D65XruXY_buQD6A3IOIO9Vp7w2ZmZq-f3-zV7wk-pRKWsArTlXD6sTAbLmi4U6ra4_pz4OKcf-ig0rZAF9Rlf2x4x9YKllA5Yh-rFzmdGNHjPbpDy4Lg47Fnt2uXX0DeNeQwCoP79-k6eG9HIar1bMsbduhyW6nrntNifnV4-rB63rCj45rmfVt_fvvp5_nF18-fDp_M3FzCtRD7PgjGlAtaZWSnMNjQiNlpqrZRtMu0TUrlVN68NygnjqSlDYQh34MmBAIc8qftD1ZfQ2I5n3brDJxdvD9AowwgptQBjivDhwyOrPkWq3m1g8dh11O43FGimVkuSCkM_vINdpzD0VZDlIoZpmAZOePHrIqZSMrd3muHF5RyA7JWnXdp-knZK0IC0lSaxnR-1xucFww_kXHQFeHQBI_buOmG3xESmeEKm0wYYU_3PB6zt838U-etf9QErrthJbhAV7OQ3TNEsc6JFay7_9IsWa</recordid><startdate>20100601</startdate><enddate>20100601</enddate><creator>Clèries, Ramon</creator><creator>Martínez, José Miguel</creator><creator>Escribà, Josep Maria</creator><creator>Esteban, Laura</creator><creator>Pareja, Laura</creator><creator>Borràs, Josep Maria</creator><creator>Ribes, Josepa</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><general>Elsevier</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>XX2</scope></search><sort><creationdate>20100601</creationdate><title>Monitoring the decreasing trend of testicular cancer mortality in Spain during 2005–2019 through a Bayesian approach</title><author>Clèries, Ramon ; Martínez, José Miguel ; Escribà, Josep Maria ; Esteban, Laura ; Pareja, Laura ; Borràs, Josep Maria ; Ribes, Josepa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c528t-da77905f7855616092d963615bfd7fbee6af59fcdbf785c016d5ef08d1bdede23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Bayes Theorem</topic><topic>Bayesian</topic><topic>Bayesian analysis</topic><topic>Cancer</topic><topic>Cohort Studies</topic><topic>Confidence intervals</topic><topic>Càncer</topic><topic>Disease</topic><topic>Epidemiology</topic><topic>Espanya</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Malalties del testicle</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Mortality - trends</topic><topic>Population Surveillance</topic><topic>Probability distribution</topic><topic>Projections</topic><topic>Spain</topic><topic>Spain - epidemiology</topic><topic>Statistical methods</topic><topic>Studies</topic><topic>Testicular cancer</topic><topic>Testicular Neoplasms - mortality</topic><topic>Testis diseases</topic><topic>Time trends</topic><topic>Trends</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Clèries, Ramon</creatorcontrib><creatorcontrib>Martínez, José Miguel</creatorcontrib><creatorcontrib>Escribà, Josep Maria</creatorcontrib><creatorcontrib>Esteban, Laura</creatorcontrib><creatorcontrib>Pareja, Laura</creatorcontrib><creatorcontrib>Borràs, Josep Maria</creatorcontrib><creatorcontrib>Ribes, Josepa</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Source (ProQuest)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Health Management Database (Proquest)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Recercat</collection><jtitle>Cancer epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Clèries, Ramon</au><au>Martínez, José Miguel</au><au>Escribà, Josep Maria</au><au>Esteban, Laura</au><au>Pareja, Laura</au><au>Borràs, Josep Maria</au><au>Ribes, Josepa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monitoring the decreasing trend of testicular cancer mortality in Spain during 2005–2019 through a Bayesian approach</atitle><jtitle>Cancer epidemiology</jtitle><addtitle>Cancer Epidemiol</addtitle><date>2010-06-01</date><risdate>2010</risdate><volume>34</volume><issue>3</issue><spage>244</spage><epage>256</epage><pages>244-256</pages><issn>1877-7821</issn><eissn>1877-783X</eissn><abstract>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.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>20381445</pmid><doi>10.1016/j.canep.2010.03.003</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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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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