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dc.contributor.authorde Sá, Joao
dc.contributor.authorAlcalde-Cabero, Enrique 
dc.contributor.authorAlmazan-Isla, Javier 
dc.contributor.authorGarcia Lopez, Fernando Jose 
dc.contributor.authorPedro-Cuesta, Jesus de 
dc.date.accessioned2017-09-04T16:28:22Z
dc.date.available2017-09-04T16:28:22Z
dc.date.issued2014-12-21
dc.identifier.citationBMC Neurol. 2014; 14: 249
dc.identifier.urihttp://hdl.handle.net/20.500.12105/4812
dc.description.abstractBACKGROUND: 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.
dc.description.sponsorshipThis study was partially supported by the Consortium for Biomedical Research in Neurodegenerative Diseases (Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas – CIBERNED), and by a grant awarded to the Neurological Disease Research Centre (Centro de Investigación en Enfermedades Neurológicas - CIEN) by Biogen, Idec, Portugal.
dc.language.isoeng
dc.publisherBioMed Central (BMC) 
dc.type.hasVersionVoR
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCapture-recapture
dc.subjectEpidemiology
dc.subjectMethods
dc.subjectMultiple sclerosis
dc.subjectPublic health
dc.titleIncidence of multiple sclerosis in Northern Lisbon, Portugal: 1998–2007
dc.typejournal article
dc.rights.licenseAtribución 4.0 Internacional*
dc.identifier.pubmedID25528357
dc.format.volume14
dc.format.number1
dc.format.page249
dc.identifier.doi10.1186/s12883-014-0249-1
dc.contributor.funderCentro de Investigación Biomédica en Red - CIBERNED (Enfermedades Neurodegenerativas) 
dc.contributor.funderFundación Centro De Investigación De Enfermedades Neurológicas 
dc.description.peerreviewed
dc.identifier.e-issn1471-2377
dc.relation.publisherversionhttps://doi.org/10.1186/s12883-014-0249-1
dc.identifier.journalBMC Neurology
dc.repisalud.centroISCIII::Centro Nacional de Epidemología
dc.repisalud.institucionISCIII
dc.rights.accessRightsopen accesses_ES


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