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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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. |
doi_str_mv | 10.1186/s12889-020-09267-3 |
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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.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-020-09267-3</identifier><identifier>PMID: 32807139</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>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</subject><ispartof>BMC public health, 2020-08, Vol.20 (1), p.1244-1244, Article 1244</ispartof><rights>COPYRIGHT 2020 BioMed Central Ltd.</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c563t-46e234fff002cf9ea7004bad36170ef514d5ee4353db1cec81e1030f1f3549c93</citedby><cites>FETCH-LOGICAL-c563t-46e234fff002cf9ea7004bad36170ef514d5ee4353db1cec81e1030f1f3549c93</cites><orcidid>0000-0002-3505-8400</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430125/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430125/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32807139$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Trandafir, Paula Camelia</creatorcontrib><creatorcontrib>Adin, Aritz</creatorcontrib><creatorcontrib>Ugarte, María Dolores</creatorcontrib><title>Space-time analysis of ovarian cancer mortality rates by age groups in spanish provinces (1989-2015)</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><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.</description><subject>Age</subject><subject>Age Factors</subject><subject>Age groups</subject><subject>Age-space-time models</subject><subject>Aged</subject><subject>Asbestos</subject><subject>Cancer</subject><subject>Demographic aspects</subject><subject>Disease mapping</subject><subject>Distribution</subject><subject>Evolution</subject><subject>Female</subject><subject>Gynecology</subject><subject>Health Status Disparities</subject><subject>Hormone replacement therapy</subject><subject>Humans</subject><subject>Industrialized nations</subject><subject>INLA</subject><subject>Medical prognosis</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Mortality - trends</subject><subject>Ovarian cancer</subject><subject>Ovarian cancer mortality</subject><subject>Ovarian Neoplasms - mortality</subject><subject>Patient outcomes</subject><subject>Population</subject><subject>Provinces</subject><subject>Public health</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Smoothing</subject><subject>Spacetime</subject><subject>Spain - 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trends</topic><topic>Ovarian cancer</topic><topic>Ovarian cancer mortality</topic><topic>Ovarian Neoplasms - mortality</topic><topic>Patient outcomes</topic><topic>Population</topic><topic>Provinces</topic><topic>Public health</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Smoothing</topic><topic>Spacetime</topic><topic>Spain - epidemiology</topic><topic>Spatio-Temporal Analysis</topic><topic>Survival</topic><topic>Survival Rate</topic><topic>Tumors</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Trandafir, Paula Camelia</creatorcontrib><creatorcontrib>Adin, Aritz</creatorcontrib><creatorcontrib>Ugarte, María Dolores</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>Health and Safety Science Abstracts (Full archive)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Trandafir, Paula Camelia</au><au>Adin, Aritz</au><au>Ugarte, María Dolores</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Space-time analysis of ovarian cancer mortality rates by age groups in spanish provinces (1989-2015)</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2020-08-17</date><risdate>2020</risdate><volume>20</volume><issue>1</issue><spage>1244</spage><epage>1244</epage><pages>1244-1244</pages><artnum>1244</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>32807139</pmid><doi>10.1186/s12889-020-09267-3</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-3505-8400</orcidid><oa>free_for_read</oa></addata></record> |
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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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