Evidence map›Paper›PMID 35197877›Full record

ArticleFrontiers in psychiatry2022

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 and 26 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

36 authors.

Anthony L VaccarinoIndoc Research, Toronto, ON, Canada.
Derek BeatonData Science and Advanced Analytics, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Sandra E BlackHurvitz Brain Sciences Research Program, Dr. Sandra Black Centre for Brain Resilience and Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.
Pierre BlierMood Disorders Research Unit, University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada.
Farnak FarzanSchool of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada.
Elizabeth FingerDepartment of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.
Jane A FosterDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
Morris FreedmanRotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada.
Benicio N FreyDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
Susan Gilbert EvansIndoc Research, Toronto, ON, Canada.
Keith HoDepartment of Psychiatry, University Health Network, Toronto, ON, Canada.
Mojib JavadiIndoc Research, Toronto, ON, Canada.
Sidney H KennedyDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Raymond W LamDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
Anthony E LangDivision of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
Bianca LasalandraIndoc Research, Toronto, ON, Canada.
Sara LatourIndoc Research, Toronto, ON, Canada.
Mario MasellisDivision of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
Roumen V MilevDepartments of Psychiatry and Psychology, Queen's University, Providence Care, Kingston, ON, Canada.
Daniel J MüllerDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Douglas P MunozCentre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
Sagar V ParikhDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Franca PlacenzaDepartment of Psychiatry, University Health Network, Toronto, ON, Canada.
Susan RotzingerDepartment of Psychiatry, University Health Network, Toronto, ON, Canada.
Claudio N SoaresDepartment of Psychiatry, Queen's University, Kingston, ON, Canada.
Alana SparksIndoc Research, Toronto, ON, Canada.
Stephen C StrotherIndoc Research, Toronto, ON, Canada.
Richard H SwartzHurvitz Brain Sciences Research Program, Dr. Sandra Black Centre for Brain Resilience and Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.
Brian TanRotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada.
Maria Carmela TartagliaTanz Centre for Research in Neurodegenerative Diseases University of Toronto, Toronto, ON, Canada.
Valerie H TaylorDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Elizabeth TheriaultOntario Brain Institute, Toronto, ON, Canada.
Gustavo TureckiDouglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
Rudolf UherDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.
Lorne ZinmanDepartment of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
Kenneth R EvansIndoc Research, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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).

Indexed as

brain-codecommon data elementsdata sharingdepression and anxietymajor depressive disorderneurological disorderspooled participant datapsychiatric comorbidity

Identifiers

PMID35197877
PMCPMC8859302

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.