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Validating the portal population of the United Kingdom Multiple Sclerosis Register.
Middleton, R M; Rodgers, W J; Chataway, J; Schmierer, K; Rog, D; Galea, I; Akbari, A; Tuite-Dalton, K; Lockhart-Jones, H; Griffiths, D; Noble, D G; Jones, K H; Al-Din, A; Craner, M; Evangelou, N; Harman, P; Harrower, T; Hobart, J; Husseyin, H; Kasti, M; Kipps, C; McDonnell, G; Owen, C; Pearson, O; Rashid, W; Wilson, H; Ford, D V.
Afiliação
  • Middleton RM; Swansea University Medical School, Swansea, United Kingdom. Electronic address: r.m.middleton@swansea.ac.uk.
  • Rodgers WJ; Swansea University Medical School, Swansea, United Kingdom.
  • Chataway J; University College London, London, United Kingdom.
  • Schmierer K; Queen Mary University of London, Blizard Institute, London, United Kingdom.
  • Rog D; Salford Royal Hospital, Manchester, United Kingdom.
  • Galea I; University of Southampton, Clinical Neurosciences, Southampton, United Kingdom.
  • Akbari A; Swansea University Medical School, Swansea, United Kingdom.
  • Tuite-Dalton K; Swansea University Medical School, Swansea, United Kingdom.
  • Lockhart-Jones H; Swansea University Medical School, Swansea, United Kingdom.
  • Griffiths D; Swansea University Medical School, Swansea, United Kingdom.
  • Noble DG; Swansea University Medical School, Swansea, United Kingdom.
  • Jones KH; Swansea University Medical School, Swansea, United Kingdom.
  • Al-Din A; National Health Service, Department of Neurology, North Yorkshire, United Kingdom.
  • Craner M; University of Oxford, Nuffield Department of Clinical Neurosciences, Oxford, United Kingdom.
  • Evangelou N; University of Nottingham, Division of Clinical Neurology, Nottingham, United Kingdom.
  • Harman P; Southend University Hospital NHS Foundation Trust, Southend, United Kingdom.
  • Harrower T; Exeter Foundation Trust, Department of Neurology Royal Devon, Exeter, United Kingdom.
  • Hobart J; Peninsula College of Medicine and Dentistry, Plymouth, United Kingdom.
  • Husseyin H; Luton and Dunstable NHS Foundation Trust, Luton, United Kingdom.
  • Kasti M; Basildon and Thurrock Hospitals NHS Foundation Trust, Basildon United Kingdom.
  • Kipps C; University of Southampton, Faculty of Medicine, Southampton, United Kingdom.
  • McDonnell G; Royal Group of Hospitals, Department of Neurology, Belfast, United Kingdom.
  • Owen C; Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, United Kingdom.
  • Pearson O; Abertawe Bro Morgannwg University Local Health Board, Swansea, United Kingdom.
  • Rashid W; Brighton and Sussex University Hospitals NHS Trust, Department of Neurology, Brighton, United Kingdom.
  • Wilson H; King's College London, London, United Kingdom.
  • Ford DV; Swansea University Medical School, Swansea, United Kingdom.
Mult Scler Relat Disord ; 24: 3-10, 2018 Aug.
Article em En | MEDLINE | ID: mdl-29860199
ABSTRACT
The UK Multiple Sclerosis Register (UKMSR) is a large cohort study designed to capture 'real world' information about living with multiple sclerosis (MS) in the UK from diverse sources. The primary source of data is directly from people with Multiple Sclerosis (pwMS) captured by longitudinal questionnaires via an internet portal. This population's diagnosis of MS is self-reported and therefore unverified. The second data source is clinical data which is captured from MS Specialist Treatment centres across the UK. This includes a clinically confirmed diagnosis of MS (by Macdonald criteria) for consented patients. A proportion of the internet population have also been consented at their hospital making comparisons possible. This dataset is called the 'linked dataset'. The purpose of this paper is to examine the characteristics of the three datasets the self-reported portal data, clinical data and linked data, in order to assess the validity of the self-reported portal data. The internet (n = 11,021) and clinical (n = 3,003) populations were studied for key shared characteristics. We found them to be closely matched for mean age at diagnosis (clinical = 37.39, portal = 39.28) and gender ratio (female %, portal = 73.1, clinical = 75.2). The Two Sample Kolmogorov-Smirnov test was for the continuous variables to examine is they were drawn from the same distribution. The null hypothesis was rejected only for age at diagnosis (D = 0.078, p < 0.01). The populations therefore, were drawn from different distributions, as there are more patients with relapsing disease in the clinical cohort. In all other analyses performed, the populations were shown to be drawn from the same distribution. Our analysis has shown that the UKMSR portal population is highly analogous to the entirely clinical (validated) population. This supports the validity of the self-reported diagnosis and therefore that the portal population can be utilised as a viable and valid cohort of people with Multiple Sclerosis for study.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistema de Registros / Esclerose Múltipla Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistema de Registros / Esclerose Múltipla Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Ano de publicação: 2018 Tipo de documento: Article