COVID-19 in people with multiple sclerosis: A global data sharing initiative
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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COVID-19 in people with multiple sclerosis : A global data sharing initiative. / 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; Alonso, Ricardo; Nicholas, Richard; Bauer, Johana; Chertcoff, Anibal; de Sèze, Jérôme; Louapre, Céline; Comi, Giancarlo; Rijke, Nick.
I: Multiple Sclerosis Journal, Bind 26, Nr. 10, 2020, s. 1157-1162.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - COVID-19 in people with multiple sclerosis
T2 - A global data sharing initiative
AU - Peeters, Liesbet M
AU - Parciak, Tina
AU - Walton, Clare
AU - Geys, Lotte
AU - Moreau, Yves
AU - De Brouwer, Edward
AU - Raimondi, Daniele
AU - Pirmani, Ashkan
AU - Kalincik, Tomas
AU - Edan, Gilles
AU - Simpson-Yap, Steve
AU - De Raedt, Luc
AU - Dauxais, Yann
AU - Gautrais, Clément
AU - Rodrigues, Paulo R
AU - McKenna, Landon
AU - Lazovski, Nikola
AU - Hillert, Jan
AU - Forsberg, Lars
AU - Spelman, Tim
AU - McBurney, Robert
AU - Schmidt, Hollie
AU - Bergmann, Arnfin
AU - Braune, Stefan
AU - Stahmann, Alexander
AU - Middleton, Rodden
AU - Salter, Amber
AU - Bebo, Bruce F
AU - Rojas, Juan I
AU - van der Walt, Anneke
AU - Butzkueven, Helmut
AU - van der Mei, Ingrid
AU - Ivanov, Rumen
AU - Hellwig, Kerstin
AU - Sciascia do Olival, Guilherme
AU - Cohen, Jeffrey A
AU - Van Hecke, Wim
AU - Dobson, Ruth
AU - Magyari, Melinda
AU - Brum, Doralina Guimarães
AU - Alonso, Ricardo
AU - Nicholas, Richard
AU - Bauer, Johana
AU - Chertcoff, Anibal
AU - de Sèze, Jérôme
AU - Louapre, Céline
AU - Comi, Giancarlo
AU - Rijke, Nick
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Betacoronavirus
KW - COVID-19
KW - Coronavirus Infections/complications
KW - Data Collection
KW - Humans
KW - Information Dissemination
KW - International Cooperation
KW - Multiple Sclerosis/complications
KW - Pandemics
KW - Pneumonia, Viral/complications
KW - Registries
KW - Risk Factors
KW - SARS-CoV-2
KW - Treatment Outcome
U2 - 10.1177/1352458520941485
DO - 10.1177/1352458520941485
M3 - Journal article
C2 - 32662757
VL - 26
SP - 1157
EP - 1162
JO - Multiple Sclerosis Journal
JF - Multiple Sclerosis Journal
SN - 1352-4585
IS - 10
ER -
ID: 261236461