CONP Portal | Dataset
5P: Predicting Persistent Postconcussive Problems in Pediatrics
Is About: | Homo sapiens |
---|---|
Acknowledges: | Ontario Brain Institute, Pediatric Emergency Research Canada Concussion Team, Government of Ontario, Canadian Institutes of Health Research, Ontario Neurotrauma Foundation, CHEO Foundation, CHEO Research Institute, University of Ottawa Brain and Mind Research Institute |
Spatial Coverage: | Canada |
Other Dates: | Start Date: 2013-08-01 00:00:00 -- End Date: 2015-06-30 00:00:00 |
Description:
Dataset README information
5P: Predicting Persistent Postconcussive Problems in Pediatrics
Dr. Roger Zemek, Dr. Martin Osmond and the Pediatric Emergency Research Canada (PERC) Concussion Team
Overview
Concussion is a common injury occurring in children and adolescents, and results in a wide variety of effects spanning physical, cognitive (thinking), psychological/behavioural, or sleep. While most cases of concussion improve within weeks, approximately one third of children have on-going symptoms for longer than 1 month, known as persistent post concussive symptoms (PPCS).
The goal of the 5P study was to derive and validate easy to use prognosticators for clinicians to identify children and youth for risk of PPCS. A 12-point PPCS risk score was developed which includes nine diagnostic variables: sex, age, physician-diagnosed migraine history, prior concussion symptoms duration, headache, sensitivity to noise, fatigue, answering questions slowly, and errors on the Balance Error Scoring System tandem stance. Among children presenting to the emergency department with concussion and head injury within the previous 48 hours, the clinical risk score demonstrated modest ability to discriminate PPCS risk at 28 days.
This project was funded by CIHR, ONF, CHEO Foundation, CHEO Research Institute, and the University of Ottawa Brain and Mind Research Institute.
Data profile
Standardized clinical outcome measures from 3,063 participants aged 5-18 years old, recruited across nine Canadian pediatric emergency departments.
Access information
To gain access to Brain-CODE Controlled Data Release data, Study Investigators will submit requests via Data Release Portals at www.braincode.ca. These requests will be reviewed by the Brain-CODE Data Access Committee and the Brain-CODE Steering Committee. Learn more about these Committees in the Brain-CODE Governance Policy (https://braininstitute.ca/docs/Brain-CODE-Governance-Policy-version-FINAL.pdf).
Visit outhe Brain-CODE Knowledge Base to learn more about our data releases.
Citations
Zemek R, Osmond MH, Barrowman N for PERC Concussion Team. Predicting and preventing postconcussive problems in paediatrics (5P) study: protocol for a prospective multicentre clinical prediction rule derivation study in children with concussion. BMJ Open. 2013 Aug 1;3(8). pii:e003550. doi: 10.1136/bmjopen-2013-003550. PubMed PMID: 23906960
Zemek R, Barrowman N, Freedman S, et al for the Pediatric Emergency Research Canada (PERC) Concussion Team. Clinical Risk Score for Persistent Postconcussion Symptoms Among Children With Acute Concussion in the ED. JAMA. 2016 Mar 8; 315(10): 1014-1025. PMID: 26954410
The following instructions require a basic understanding of UNIX/LINUX command lines. Future portal functionality may include downloads directly from the web browser. Dataset download is currently enabled through DataLad.
Note: The conp-dataset
requires version >=0.12.5 of DataLad
and version >=8.20200309 of git-annex.
To install DataLad on your system, please refer to the install section of the DataLad Handbook (installation via miniconda is recommended in order to obtain the latest version of DataLad).
1) Initiate the CONP dataset
To initiate the CONP dataset (conp-dataset
), run the following
command in the directory where you want CONP datasets to be installed:
datalad install https://github.com/CONP-PCNO/conp-dataset.git
2) Install the braincode_5P_Predicting_Persistent_Postconcussive_Problems_in_Pediatric dataset
To install the dataset, go into the created conp-dataset directory and run
datalad install
on the dataset braincode_5P_Predicting_Persistent_Postconcussive_Problems_in_Pediatric
:
cd conp-dataset
datalad install projects/braincode_5P_Predicting_Persistent_Postconcussive_Problems_in_Pediatric
3) Download the braincode_5P_Predicting_Persistent_Postconcussive_Problems_in_Pediatric dataset
Now that the DataLad dataset has been installed, go into the dataset
directory under projects/braincode_5P_Predicting_Persistent_Postconcussive_Problems_in_Pediatric
.
cd projects/braincode_5P_Predicting_Persistent_Postconcussive_Problems_in_Pediatric
Note that files visible in the dataset are symlinks and will need to be
downloaded manually using the
datalad get
command in the dataset directory:
datalad get <filepath>
Note, if you run datalad get *
command, all the files present
in the dataset directory will be downloaded.