Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data: Assessment of Psychiatric Comorbidity Across Brain Disorders

Anthony L. Vaccarino; Derek Beaton; Sandra E. Black; Pierre Blier; Farnak Farzan; Elizabeth Finger; Jane A. Foster; Morris Freedman; Benicio N. Frey; Susan Gilbert Evans; Keith Ho; Mojib Javadi; Sidney H. Kennedy; Raymond W. Lam; Anthony E. Lang; Bianca Lasalandra; Sara Latour; Mario Masellis; Roumen V. Milev; Daniel J. Müller; Douglas P. Munoz; Sagar V. Parikh; Franca Placenza; Susan Rotzinger; Claudio N. Soares; Alana Sparks; Stephen C. Strother; Richard H. Swartz; Brian Tan; Maria Carmela Tartaglia; Valerie H. Taylor; Elizabeth Theriault; Gustavo Turecki; Rudolf Uher; Lorne Zinman; Kenneth R. Evans

doi:10.3389/fpsyt.2022.816465

Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data: Assessment of Psychiatric Comorbidity Across Brain Disorders

Anthony L. Vaccarino, Derek Beaton, Sandra E. Black, Pierre Blier, Farnak Farzan, Elizabeth Finger, Jane A. Foster, Morris Freedman, Benicio N. Frey, Susan Gilbert Evans, Keith Ho, Mojib Javadi, Sidney H. Kennedy, Raymond W. Lam, Anthony E. Lang, Bianca Lasalandra, Sara Latour, Mario Masellis, Roumen V. Milev, Daniel J. MüllerDouglas P. Munoz, Sagar V. Parikh, Franca Placenza, Susan Rotzinger, Claudio N. Soares, Alana Sparks, Stephen C. Strother, Richard H. Swartz, Brian Tan, Maria Carmela Tartaglia, Valerie H. Taylor, Elizabeth Theriault, Gustavo Turecki, Rudolf Uher, Lorne Zinman, Kenneth R. Evans

Medicine

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

6 Citas (Scopus)

Resumen

The Ontario Brain Institute's “Brain-CODE” is a large-scale informatics platform designed to support the collection, storage and integration of diverse types of data across several brain disorders as a means to understand underlying causes of brain dysfunction and developing novel approaches to treatment. By providing access to aggregated datasets on participants with and without different brain disorders, Brain-CODE will facilitate analyses both within and across diseases and cover multiple brain disorders and a wide array of data, including clinical, neuroimaging, and molecular. To help achieve these goals, consensus methodology was used to identify a set of core demographic and clinical variables that should be routinely collected across all participating programs. Establishment of Common Data Elements within Brain-CODE is critical to enable a high degree of consistency in data collection across studies and thus optimize the ability of investigators to analyze pooled participant-level data within and across brain disorders. Results are also presented using selected common data elements pooled across three studies to better understand psychiatric comorbidity in neurological disease (Alzheimer's disease/amnesic mild cognitive impairment, amyotrophic lateral sclerosis, cerebrovascular disease, frontotemporal dementia, and Parkinson's disease).

Idioma original	English
Número de artículo	816465
Publicación	Frontiers in Psychiatry
Volumen	13
DOI	https://doi.org/10.3389/fpsyt.2022.816465
Estado	Published - feb. 7 2022

Nota bibliográfica

Funding Information:
This research was conducted with the support of the Ontario Brain Institute, an independent non-profit corporation, funded partially by the Ontario government. BEAM funding from Brain Canada, the Edwards Foundation and GE Healthcare for in kind support; funding was also received from Linda C. Campbell toward the BEAM study. CAN-BIND and ONDRI are Integrated Discovery Programs with support from the Ontario Brain Institute, with funding and/or in-kind support also provided by the investigators’ universities and academic institutions. Additional funding for CAN-BIND was provided by CIHR, Lundbeck, Bristol-Myers Squibb, Pfizer, and Servier. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.

Publisher Copyright:
Copyright © 2022 Vaccarino, Beaton, Black, Blier, Farzan, Finger, Foster, Freedman, Frey, Gilbert Evans, Ho, Javadi, Kennedy, Lam, Lang, Lasalandra, Latour, Masellis, Milev, Müller, Munoz, Parikh, Placenza, Rotzinger, Soares, Sparks, Strother, Swartz, Tan, Tartaglia, Taylor, Theriault, Turecki, Uher, Zinman and Evans.

ASJC Scopus Subject Areas

Psychiatry and Mental health

PubMed: MeSH publication types

Journal Article

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.3389/fpsyt.2022.816465

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Vaccarino, A. L., Beaton, D., Black, S. E., Blier, P., Farzan, F., Finger, E., Foster, J. A., Freedman, M., Frey, B. N., Gilbert Evans, S., Ho, K., Javadi, M., Kennedy, S. H., Lam, R. W., Lang, A. E., Lasalandra, B., Latour, S., Masellis, M., Milev, R. V., ... Evans, K. R. (2022). Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data: Assessment of Psychiatric Comorbidity Across Brain Disorders. Frontiers in Psychiatry, 13, Artículo 816465. https://doi.org/10.3389/fpsyt.2022.816465

Vaccarino, AL, Beaton, D, Black, SE, Blier, P, Farzan, F, Finger, E, Foster, JA, Freedman, M, Frey, BN, Gilbert Evans, S, Ho, K, Javadi, M, Kennedy, SH, Lam, RW, Lang, AE, Lasalandra, B, Latour, S, Masellis, M, Milev, RV, Müller, DJ, Munoz, DP, Parikh, SV, Placenza, F, Rotzinger, S, Soares, CN, Sparks, A, Strother, SC, Swartz, RH, Tan, B, Tartaglia, MC, Taylor, VH, Theriault, E, Turecki, G, Uher, R, Zinman, L & Evans, KR 2022, 'Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data: Assessment of Psychiatric Comorbidity Across Brain Disorders', Frontiers in Psychiatry, vol. 13, 816465. https://doi.org/10.3389/fpsyt.2022.816465

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title = "Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data: Assessment of Psychiatric Comorbidity Across Brain Disorders",

abstract = "The Ontario Brain Institute's “Brain-CODE” is a large-scale informatics platform designed to support the collection, storage and integration of diverse types of data across several brain disorders as a means to understand underlying causes of brain dysfunction and developing novel approaches to treatment. By providing access to aggregated datasets on participants with and without different brain disorders, Brain-CODE will facilitate analyses both within and across diseases and cover multiple brain disorders and a wide array of data, including clinical, neuroimaging, and molecular. To help achieve these goals, consensus methodology was used to identify a set of core demographic and clinical variables that should be routinely collected across all participating programs. Establishment of Common Data Elements within Brain-CODE is critical to enable a high degree of consistency in data collection across studies and thus optimize the ability of investigators to analyze pooled participant-level data within and across brain disorders. Results are also presented using selected common data elements pooled across three studies to better understand psychiatric comorbidity in neurological disease (Alzheimer's disease/amnesic mild cognitive impairment, amyotrophic lateral sclerosis, cerebrovascular disease, frontotemporal dementia, and Parkinson's disease).",

author = "Vaccarino, {Anthony L.} and Derek Beaton and Black, {Sandra E.} and Pierre Blier and Farnak Farzan and Elizabeth Finger and Foster, {Jane A.} and Morris Freedman and Frey, {Benicio N.} and {Gilbert Evans}, Susan and Keith Ho and Mojib Javadi and Kennedy, {Sidney H.} and Lam, {Raymond W.} and Lang, {Anthony E.} and Bianca Lasalandra and Sara Latour and Mario Masellis and Milev, {Roumen V.} and M{\"u}ller, {Daniel J.} and Munoz, {Douglas P.} and Parikh, {Sagar V.} and Franca Placenza and Susan Rotzinger and Soares, {Claudio N.} and Alana Sparks and Strother, {Stephen C.} and Swartz, {Richard H.} and Brian Tan and Tartaglia, {Maria Carmela} and Taylor, {Valerie H.} and Elizabeth Theriault and Gustavo Turecki and Rudolf Uher and Lorne Zinman and Evans, {Kenneth R.}",

note = "Funding Information: This research was conducted with the support of the Ontario Brain Institute, an independent non-profit corporation, funded partially by the Ontario government. BEAM funding from Brain Canada, the Edwards Foundation and GE Healthcare for in kind support; funding was also received from Linda C. Campbell toward the BEAM study. CAN-BIND and ONDRI are Integrated Discovery Programs with support from the Ontario Brain Institute, with funding and/or in-kind support also provided by the investigators{\textquoteright} universities and academic institutions. Additional funding for CAN-BIND was provided by CIHR, Lundbeck, Bristol-Myers Squibb, Pfizer, and Servier. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication. Publisher Copyright: Copyright {\textcopyright} 2022 Vaccarino, Beaton, Black, Blier, Farzan, Finger, Foster, Freedman, Frey, Gilbert Evans, Ho, Javadi, Kennedy, Lam, Lang, Lasalandra, Latour, Masellis, Milev, M{\"u}ller, Munoz, Parikh, Placenza, Rotzinger, Soares, Sparks, Strother, Swartz, Tan, Tartaglia, Taylor, Theriault, Turecki, Uher, Zinman and Evans.",

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AU - Blier, Pierre

AU - Farzan, Farnak

AU - Finger, Elizabeth

AU - Foster, Jane A.

AU - Freedman, Morris

AU - Frey, Benicio N.

AU - Gilbert Evans, Susan

AU - Ho, Keith

AU - Javadi, Mojib

AU - Kennedy, Sidney H.

AU - Lam, Raymond W.

AU - Lang, Anthony E.

AU - Lasalandra, Bianca

AU - Latour, Sara

AU - Masellis, Mario

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AU - Müller, Daniel J.

AU - Munoz, Douglas P.

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AU - Soares, Claudio N.

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AU - Swartz, Richard H.

AU - Tan, Brian

AU - Tartaglia, Maria Carmela

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AU - Turecki, Gustavo

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Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data: Assessment of Psychiatric Comorbidity Across Brain Disorders

Resumen

Nota bibliográfica

ASJC Scopus Subject Areas

PubMed: MeSH publication types

ODS de las Naciones Unidas

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