Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998-2007

Background: are few, recent, well assessed, multiple sclerosis (MS) incidence surveys on European populations. This study sought to measure MS incidence in a Northern Lisbon population and assess it using capture-recapture methods (CRMs). Methods: Among the population residing in the Northern Lisbon...

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Autores: de Sá, Joao, Alcalde-Cabero, Enrique, Almazan-Isla, Javier, Garcia Lopez, Fernando Jose, Pedro-Cuesta, Jesus de
Formato: artículo
Fecha de publicación:2014
País:España
Recursos:Instituto de Salud Carlos III (ISCIII)
Repositorio:Repisalud
Idioma:inglés
OAI Identifier:oai:repisalud.isciii.es:20.500.12105/13842
Acesso em linha:http://hdl.handle.net/20.500.12105/13842
Access Level:acceso abierto
Palavra-chave:Cities
Adolescent
Adult
Age Distribution
Aged
Female
Humans
Incidence
Male
Middle Aged
Multiple Sclerosis
Portugal
Sex Distribution
Young Adult
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spelling Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998-2007de Sá, JoaoAlcalde-Cabero, EnriqueAlmazan-Isla, JavierGarcia Lopez, Fernando JosePedro-Cuesta, Jesus deCitiesAdolescentAdultAge DistributionAgedFemaleHumansIncidenceMaleMiddle AgedMultiple SclerosisPortugalSex DistributionYoung AdultBackground: are few, recent, well assessed, multiple sclerosis (MS) incidence surveys on European populations. This study sought to measure MS incidence in a Northern Lisbon population and assess it using capture-recapture methods (CRMs). Methods: Among the population residing in the Northern Lisbon Health Area, registered MS diagnoses were obtained from general practitioners in three primary-care districts covering a population of 196,300, and a neurology unit at the main referral hospital. Cases with onset during the periods 1978-1997 and 2008-2012 were excluded due to perceived poor access to image-supported neurological diagnosis and administrative changes in patient referral respectively. Age- and sex-specific incidences for the period 1998-2007 were calculated using McDonald diagnostic criteria, and CRMs were used to correct age-specific incidence rates. The corrected figures were also adjusted for age using the European Standard Population as reference. Results: When applied to 62 MS patients with onset in the period 1998-2007, the rates per 100,000 population were as follows for both sexes: crude, 3.16; age-adjusted, 3.09 (95% CI 2.32 to 3.87); CRM-adjusted, 4.53 (95% CI 3.13 to 5.94); and age- and CRM-adjusted, 4.48 (3.54-5.41). In general, the rates were 3-fold higher among women than among men. Negative source dependency and CRM impact were highest at ages 35-44 years, where a 60% rise led to a peak incidence. Conclusions: MS incidence in Northern Lisbon, Portugal, is moderately lower than that yielded by surveys on European populations. CRMs, which in this instance suggest undercounts, are a potentially useful tool for case-finding assessment but their application may introduce bias.BioMed Central (BMC)Centro de Investigación Biomédica en Red - CIBERNED (Enfermedades Neurodegenerativas)Fundación Centro De Investigación De Enfermedades NeurológicasBiogen20222022-03-2820142014-12-0120142014-12-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.12105/13842reponame:Repisaludinstname:Instituto de Salud Carlos III (ISCIII)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repisalud.isciii.es:20.500.12105/138422026-06-12T12:43:37Z
dc.title.none.fl_str_mv Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998-2007
title Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998-2007
spellingShingle Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998-2007
de Sá, Joao
Cities
Adolescent
Adult
Age Distribution
Aged
Female
Humans
Incidence
Male
Middle Aged
Multiple Sclerosis
Portugal
Sex Distribution
Young Adult
title_short Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998-2007
title_full Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998-2007
title_fullStr Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998-2007
title_full_unstemmed Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998-2007
title_sort Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998-2007
dc.creator.none.fl_str_mv de Sá, Joao
Alcalde-Cabero, Enrique
Almazan-Isla, Javier
Garcia Lopez, Fernando Jose
Pedro-Cuesta, Jesus de
author de Sá, Joao
author_facet de Sá, Joao
Alcalde-Cabero, Enrique
Almazan-Isla, Javier
Garcia Lopez, Fernando Jose
Pedro-Cuesta, Jesus de
author_role author
author2 Alcalde-Cabero, Enrique
Almazan-Isla, Javier
Garcia Lopez, Fernando Jose
Pedro-Cuesta, Jesus de
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Centro de Investigación Biomédica en Red - CIBERNED (Enfermedades Neurodegenerativas)
Fundación Centro De Investigación De Enfermedades Neurológicas
Biogen
dc.subject.none.fl_str_mv Cities
Adolescent
Adult
Age Distribution
Aged
Female
Humans
Incidence
Male
Middle Aged
Multiple Sclerosis
Portugal
Sex Distribution
Young Adult
topic Cities
Adolescent
Adult
Age Distribution
Aged
Female
Humans
Incidence
Male
Middle Aged
Multiple Sclerosis
Portugal
Sex Distribution
Young Adult
description Background: are few, recent, well assessed, multiple sclerosis (MS) incidence surveys on European populations. This study sought to measure MS incidence in a Northern Lisbon population and assess it using capture-recapture methods (CRMs). Methods: Among the population residing in the Northern Lisbon Health Area, registered MS diagnoses were obtained from general practitioners in three primary-care districts covering a population of 196,300, and a neurology unit at the main referral hospital. Cases with onset during the periods 1978-1997 and 2008-2012 were excluded due to perceived poor access to image-supported neurological diagnosis and administrative changes in patient referral respectively. Age- and sex-specific incidences for the period 1998-2007 were calculated using McDonald diagnostic criteria, and CRMs were used to correct age-specific incidence rates. The corrected figures were also adjusted for age using the European Standard Population as reference. Results: When applied to 62 MS patients with onset in the period 1998-2007, the rates per 100,000 population were as follows for both sexes: crude, 3.16; age-adjusted, 3.09 (95% CI 2.32 to 3.87); CRM-adjusted, 4.53 (95% CI 3.13 to 5.94); and age- and CRM-adjusted, 4.48 (3.54-5.41). In general, the rates were 3-fold higher among women than among men. Negative source dependency and CRM impact were highest at ages 35-44 years, where a 60% rise led to a peak incidence. Conclusions: MS incidence in Northern Lisbon, Portugal, is moderately lower than that yielded by surveys on European populations. CRMs, which in this instance suggest undercounts, are a potentially useful tool for case-finding assessment but their application may introduce bias.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-12-01
2014
2014-12-01
2022
2022-03-28
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12105/13842
url http://hdl.handle.net/20.500.12105/13842
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv BioMed Central (BMC)
publisher.none.fl_str_mv BioMed Central (BMC)
dc.source.none.fl_str_mv reponame:Repisalud
instname:Instituto de Salud Carlos III (ISCIII)
instname_str Instituto de Salud Carlos III (ISCIII)
reponame_str Repisalud
collection Repisalud
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869421957629345792
score 15,811543

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