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

BACKGROUND: There 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...

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Autores principales: de Sá, Joao, Alcalde-Cabero, Enrique, Almazán-Isla, Javier, García-López, Fernando, de Pedro-Cuesta, Jesús
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300835/
https://www.ncbi.nlm.nih.gov/pubmed/25528357
http://dx.doi.org/10.1186/s12883-014-0249-1
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author de Sá, Joao
Alcalde-Cabero, Enrique
Almazán-Isla, Javier
García-López, Fernando
de Pedro-Cuesta, Jesús
author_facet de Sá, Joao
Alcalde-Cabero, Enrique
Almazán-Isla, Javier
García-López, Fernando
de Pedro-Cuesta, Jesús
author_sort de Sá, Joao
collection PubMed
description BACKGROUND: There 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.
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spelling pubmed-43008352015-02-03 Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998–2007 de Sá, Joao Alcalde-Cabero, Enrique Almazán-Isla, Javier García-López, Fernando de Pedro-Cuesta, Jesús BMC Neurol Research Article BACKGROUND: There 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 2014-12-21 /pmc/articles/PMC4300835/ /pubmed/25528357 http://dx.doi.org/10.1186/s12883-014-0249-1 Text en © de Sá et al.; licensee BioMed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
de Sá, Joao
Alcalde-Cabero, Enrique
Almazán-Isla, Javier
García-López, Fernando
de Pedro-Cuesta, Jesús
Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998–2007
title 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_short Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998–2007
title_sort incidence of multiple sclerosis in northern lisbon, portugal: 1998–2007
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300835/
https://www.ncbi.nlm.nih.gov/pubmed/25528357
http://dx.doi.org/10.1186/s12883-014-0249-1
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