COVID-19 in people with multiple sclerosis: A global data sharing initiative

Detalhes bibliográficos
Autor(a) principal: Peeters, Liesbet M
Data de Publicação: 2020
Outros Autores: Parciak, Tina, Walton, Clare, Geys, Lotte, Moreau, Yves, De Brouwer, Edward, Raimondi, Daniele, Pirmani, Ashkan, Kalincik, Tomas, Edan, Gilles, Simpson-Yap, Steve, De Raedt, Luc, Dauxais, Yann, Gautrais, Clément, Rodrigues, Paulo R, McKenna, Landon, Lazovski, Nikola, Hillert, Jan, Forsberg, Lars, Spelman, Tim, McBurney, Robert, Schmidt, Hollie, Bergmann, Arnfin, Braune, Stefan, Stahmann, Alexander, Middleton, Rodden, Salter, Amber, Bebo, Bruce F, Rojas, Juan I, van der Walt, Anneke, Butzkueven, Helmut, van der Mei, Ingrid, Ivanov, Rumen, Hellwig, Kerstin, Sciascia do Olival, Guilherme, Cohen, Jeffrey A, Van Hecke, Wim, Dobson, Ruth, Magyari, Melinda, Brum, Doralina Guimarães [UNESP], Alonso, Ricardo, Nicholas, Richard, Bauer, Johana, Chertcoff, Anibal, de Sèze, Jérôme, Louapre, Céline, Comi, Giancarlo, Rijke, Nick
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1177/1352458520941485
http://hdl.handle.net/11449/200762
Resumo: Background: We need high-quality data to assess the determinants for COVID-19 severity in people with MS (PwMS). Several studies have recently emerged but there is great benefit in aligning data collection efforts at a global scale. Objectives: Our mission is to scale-up COVID-19 data collection efforts and provide the MS community with data-driven insights as soon as possible. Methods: Numerous stakeholders were brought together. Small dedicated interdisciplinary task forces were created to speed-up the formulation of the study design and work plan. First step was to agree upon a COVID-19 MS core data set. Second, we worked on providing a user-friendly and rapid pipeline to share COVID-19 data at a global scale. Results: The COVID-19 MS core data set was agreed within 48 hours. To date, 23 data collection partners are involved and the first data imports have been performed successfully. Data processing and analysis is an on-going process. Conclusions: We reached a consensus on a core data set and established data sharing processes with multiple partners to address an urgent need for information to guide clinical practice. First results show that partners are motivated to share data to attain the ultimate joint goal: better understand the effect of COVID-19 in PwMS.
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spelling COVID-19 in people with multiple sclerosis: A global data sharing initiativecoronavirus 2COVID-19data collectionhumansMultiple sclerosispandemicsregistriesBackground: We need high-quality data to assess the determinants for COVID-19 severity in people with MS (PwMS). Several studies have recently emerged but there is great benefit in aligning data collection efforts at a global scale. Objectives: Our mission is to scale-up COVID-19 data collection efforts and provide the MS community with data-driven insights as soon as possible. Methods: Numerous stakeholders were brought together. Small dedicated interdisciplinary task forces were created to speed-up the formulation of the study design and work plan. First step was to agree upon a COVID-19 MS core data set. Second, we worked on providing a user-friendly and rapid pipeline to share COVID-19 data at a global scale. Results: The COVID-19 MS core data set was agreed within 48 hours. To date, 23 data collection partners are involved and the first data imports have been performed successfully. Data processing and analysis is an on-going process. Conclusions: We reached a consensus on a core data set and established data sharing processes with multiple partners to address an urgent need for information to guide clinical practice. First results show that partners are motivated to share data to attain the ultimate joint goal: better understand the effect of COVID-19 in PwMS.Multiple Sclerosis International FederationBiomedical Research Institute and Data Science Institute Hasselt UniversityDepartment of Medical Informatics University Medical Center GöttingenMS International FederationESAT-STADIUS KU LeuvenBiomedical Research Institute and Data Science Institute Hasselt University Diepenbeek Belgium/ESAT-STADIUS KU LeuvenClinical Outcomes Research (CORe) Unit The University of MelbourneDepartment of Neurology CHU PontchaillouNeuroepidemiology Unit Melbourne School of Population Global Health The University of MelbourneDepartment of Computer Science and Leuven.AI KU LeuvenQMENTADepartment of Clinical Neuroscience Swedish MS RegistryiConquerMS People-Powered Research Network Accelerated Cure Project for MSNeuroTransData Study Group NeuroTransDataMS Forschungs- und Projektentwicklungs-gGmbHUK MS RegisterCOViMS St Louis USA/ Division of Biostatistics Washington University in St. LouisCOViMS USA/National Multiple Sclerosis SocietyNeurology Department Hospital Universitario de CEMICMSBase Registry Department of Neuroscience Central Clinical School Monash UniversityThe Australian MS Longitudinal Study (AMSLS) Menzies Institute for Medical Research University of TasmaniaBulgarian SmartMS COVID-19 DatasetLEOSS Department of Neurology Katholisches Klinikum BochumBrazilian Multiple Sclerosis Association (ABEM)Cleveland Clinic MS COVID-19 Registry Mellen MS Center Cleveland ClinicIcometrix – IcompanionOptimiseMS Preventive Neurology Unit Queen Mary University of LondonThe Danish Multiple Sclerosis Registry Department of Neurology University Hospital RigshospitaletUniversidade Estadual Paulista (Unesp) Faculdade de Medicina Botucatu/REDONE – Brazilian Registry of Multiple Sclerosis and Neuromyelitis Optica Spectrum DisordersRELACOEMMental Health Area EMAMS and Demyelinating Diseases Hospital Británico de Buenos Aires – EMADepartment of Neurology Strasbourg University HospitalCOVISEPInstitute of Experimental Neurology Ospedale San RaffaeleMelbourne MS Centre Department of Neurology Royal Melbourne HospitalInstitut du Cerveau ICM APHP – Hôpital Pitié Salpêtrière Sorbonne UniversityMenzies Institute for Medical Research University of TasmaniaImperial College LondonSwansea UniversityMultiple Sclerosis University Center Ramos Mejia Hospital – EMAUniversidade Estadual Paulista (Unesp) Faculdade de Medicina Botucatu/REDONE – Brazilian Registry of Multiple Sclerosis and Neuromyelitis Optica Spectrum DisordersHasselt UniversityUniversity Medical Center GöttingenMS International FederationKU LeuvenThe University of MelbourneCHU PontchaillouQMENTASwedish MS RegistryAccelerated Cure Project for MSNeuroTransDataMS Forschungs- und Projektentwicklungs-gGmbHUK MS RegisterWashington University in St. LouisUSA/National Multiple Sclerosis SocietyHospital Universitario de CEMICMonash UniversityUniversity of TasmaniaBulgarian SmartMS COVID-19 DatasetKatholisches Klinikum BochumBrazilian Multiple Sclerosis Association (ABEM)Cleveland ClinicIcometrix – IcompanionQueen Mary University of LondonUniversity Hospital RigshospitaletUniversidade Estadual Paulista (Unesp)RELACOEMEMAHospital Británico de Buenos Aires – EMAStrasbourg University HospitalCOVISEPOspedale San RaffaeleRoyal Melbourne HospitalSorbonne UniversityImperial College LondonSwansea UniversityRamos Mejia Hospital – EMAPeeters, Liesbet MParciak, TinaWalton, ClareGeys, LotteMoreau, YvesDe Brouwer, EdwardRaimondi, DanielePirmani, AshkanKalincik, TomasEdan, GillesSimpson-Yap, SteveDe Raedt, LucDauxais, YannGautrais, ClémentRodrigues, Paulo RMcKenna, LandonLazovski, NikolaHillert, JanForsberg, LarsSpelman, TimMcBurney, RobertSchmidt, HollieBergmann, ArnfinBraune, StefanStahmann, AlexanderMiddleton, RoddenSalter, AmberBebo, Bruce FRojas, Juan Ivan der Walt, AnnekeButzkueven, Helmutvan der Mei, IngridIvanov, RumenHellwig, KerstinSciascia do Olival, GuilhermeCohen, Jeffrey AVan Hecke, WimDobson, RuthMagyari, MelindaBrum, Doralina Guimarães [UNESP]Alonso, RicardoNicholas, RichardBauer, JohanaChertcoff, Anibalde Sèze, JérômeLouapre, CélineComi, GiancarloRijke, Nick2020-12-12T02:15:20Z2020-12-12T02:15:20Z2020-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1157-1162http://dx.doi.org/10.1177/1352458520941485Multiple Sclerosis Journal, v. 26, n. 10, p. 1157-1162, 2020.1477-09701352-4585http://hdl.handle.net/11449/20076210.1177/13524585209414852-s2.0-85087992743Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMultiple Sclerosis Journalinfo:eu-repo/semantics/openAccess2024-08-16T15:45:54Zoai:repositorio.unesp.br:11449/200762Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-16T15:45:54Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv COVID-19 in people with multiple sclerosis: A global data sharing initiative
title COVID-19 in people with multiple sclerosis: A global data sharing initiative
spellingShingle COVID-19 in people with multiple sclerosis: A global data sharing initiative
Peeters, Liesbet M
coronavirus 2
COVID-19
data collection
humans
Multiple sclerosis
pandemics
registries
title_short COVID-19 in people with multiple sclerosis: A global data sharing initiative
title_full COVID-19 in people with multiple sclerosis: A global data sharing initiative
title_fullStr COVID-19 in people with multiple sclerosis: A global data sharing initiative
title_full_unstemmed COVID-19 in people with multiple sclerosis: A global data sharing initiative
title_sort COVID-19 in people with multiple sclerosis: A global data sharing initiative
author Peeters, Liesbet M
author_facet Peeters, Liesbet M
Parciak, Tina
Walton, Clare
Geys, Lotte
Moreau, Yves
De Brouwer, Edward
Raimondi, Daniele
Pirmani, Ashkan
Kalincik, Tomas
Edan, Gilles
Simpson-Yap, Steve
De Raedt, Luc
Dauxais, Yann
Gautrais, Clément
Rodrigues, Paulo R
McKenna, Landon
Lazovski, Nikola
Hillert, Jan
Forsberg, Lars
Spelman, Tim
McBurney, Robert
Schmidt, Hollie
Bergmann, Arnfin
Braune, Stefan
Stahmann, Alexander
Middleton, Rodden
Salter, Amber
Bebo, Bruce F
Rojas, Juan I
van der Walt, Anneke
Butzkueven, Helmut
van der Mei, Ingrid
Ivanov, Rumen
Hellwig, Kerstin
Sciascia do Olival, Guilherme
Cohen, Jeffrey A
Van Hecke, Wim
Dobson, Ruth
Magyari, Melinda
Brum, Doralina Guimarães [UNESP]
Alonso, Ricardo
Nicholas, Richard
Bauer, Johana
Chertcoff, Anibal
de Sèze, Jérôme
Louapre, Céline
Comi, Giancarlo
Rijke, Nick
author_role author
author2 Parciak, Tina
Walton, Clare
Geys, Lotte
Moreau, Yves
De Brouwer, Edward
Raimondi, Daniele
Pirmani, Ashkan
Kalincik, Tomas
Edan, Gilles
Simpson-Yap, Steve
De Raedt, Luc
Dauxais, Yann
Gautrais, Clément
Rodrigues, Paulo R
McKenna, Landon
Lazovski, Nikola
Hillert, Jan
Forsberg, Lars
Spelman, Tim
McBurney, Robert
Schmidt, Hollie
Bergmann, Arnfin
Braune, Stefan
Stahmann, Alexander
Middleton, Rodden
Salter, Amber
Bebo, Bruce F
Rojas, Juan I
van der Walt, Anneke
Butzkueven, Helmut
van der Mei, Ingrid
Ivanov, Rumen
Hellwig, Kerstin
Sciascia do Olival, Guilherme
Cohen, Jeffrey A
Van Hecke, Wim
Dobson, Ruth
Magyari, Melinda
Brum, Doralina Guimarães [UNESP]
Alonso, Ricardo
Nicholas, Richard
Bauer, Johana
Chertcoff, Anibal
de Sèze, Jérôme
Louapre, Céline
Comi, Giancarlo
Rijke, Nick
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Hasselt University
University Medical Center Göttingen
MS International Federation
KU Leuven
The University of Melbourne
CHU Pontchaillou
QMENTA
Swedish MS Registry
Accelerated Cure Project for MS
NeuroTransData
MS Forschungs- und Projektentwicklungs-gGmbH
UK MS Register
Washington University in St. Louis
USA/National Multiple Sclerosis Society
Hospital Universitario de CEMIC
Monash University
University of Tasmania
Bulgarian SmartMS COVID-19 Dataset
Katholisches Klinikum Bochum
Brazilian Multiple Sclerosis Association (ABEM)
Cleveland Clinic
Icometrix – Icompanion
Queen Mary University of London
University Hospital Rigshospitalet
Universidade Estadual Paulista (Unesp)
RELACOEM
EMA
Hospital Británico de Buenos Aires – EMA
Strasbourg University Hospital
COVISEP
Ospedale San Raffaele
Royal Melbourne Hospital
Sorbonne University
Imperial College London
Swansea University
Ramos Mejia Hospital – EMA
dc.contributor.author.fl_str_mv Peeters, Liesbet M
Parciak, Tina
Walton, Clare
Geys, Lotte
Moreau, Yves
De Brouwer, Edward
Raimondi, Daniele
Pirmani, Ashkan
Kalincik, Tomas
Edan, Gilles
Simpson-Yap, Steve
De Raedt, Luc
Dauxais, Yann
Gautrais, Clément
Rodrigues, Paulo R
McKenna, Landon
Lazovski, Nikola
Hillert, Jan
Forsberg, Lars
Spelman, Tim
McBurney, Robert
Schmidt, Hollie
Bergmann, Arnfin
Braune, Stefan
Stahmann, Alexander
Middleton, Rodden
Salter, Amber
Bebo, Bruce F
Rojas, Juan I
van der Walt, Anneke
Butzkueven, Helmut
van der Mei, Ingrid
Ivanov, Rumen
Hellwig, Kerstin
Sciascia do Olival, Guilherme
Cohen, Jeffrey A
Van Hecke, Wim
Dobson, Ruth
Magyari, Melinda
Brum, Doralina Guimarães [UNESP]
Alonso, Ricardo
Nicholas, Richard
Bauer, Johana
Chertcoff, Anibal
de Sèze, Jérôme
Louapre, Céline
Comi, Giancarlo
Rijke, Nick
dc.subject.por.fl_str_mv coronavirus 2
COVID-19
data collection
humans
Multiple sclerosis
pandemics
registries
topic coronavirus 2
COVID-19
data collection
humans
Multiple sclerosis
pandemics
registries
description Background: We need high-quality data to assess the determinants for COVID-19 severity in people with MS (PwMS). Several studies have recently emerged but there is great benefit in aligning data collection efforts at a global scale. Objectives: Our mission is to scale-up COVID-19 data collection efforts and provide the MS community with data-driven insights as soon as possible. Methods: Numerous stakeholders were brought together. Small dedicated interdisciplinary task forces were created to speed-up the formulation of the study design and work plan. First step was to agree upon a COVID-19 MS core data set. Second, we worked on providing a user-friendly and rapid pipeline to share COVID-19 data at a global scale. Results: The COVID-19 MS core data set was agreed within 48 hours. To date, 23 data collection partners are involved and the first data imports have been performed successfully. Data processing and analysis is an on-going process. Conclusions: We reached a consensus on a core data set and established data sharing processes with multiple partners to address an urgent need for information to guide clinical practice. First results show that partners are motivated to share data to attain the ultimate joint goal: better understand the effect of COVID-19 in PwMS.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:15:20Z
2020-12-12T02:15:20Z
2020-09-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1177/1352458520941485
Multiple Sclerosis Journal, v. 26, n. 10, p. 1157-1162, 2020.
1477-0970
1352-4585
http://hdl.handle.net/11449/200762
10.1177/1352458520941485
2-s2.0-85087992743
url http://dx.doi.org/10.1177/1352458520941485
http://hdl.handle.net/11449/200762
identifier_str_mv Multiple Sclerosis Journal, v. 26, n. 10, p. 1157-1162, 2020.
1477-0970
1352-4585
10.1177/1352458520941485
2-s2.0-85087992743
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Multiple Sclerosis Journal
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1157-1162
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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