CONP Portal | Dataset


5P: Predicting Persistent Postconcussive Problems in Pediatrics
Creators: Ontario Brain Institute
Contact: Brain-CODE, datarelease@braincode.ca
Licenses: Refer to Brain-CODE Governance Policy
Version: 1.0
Formats: CSV
Size: 141.0 MB
No of Files: 2
No of Subjects: 3063
Primary Publication: Clinical Risk Score for Persistent Postconcussion Symptoms Among Children With Acute Concussion in the ED. Roger Zemek et al. JAMA. 10.1001/jama.2016.1203
Metadata file: DATS.json
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:
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.

Dataset README information

README.md

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

Download Using DataLad

CircleCI status

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.

For more information on how DataLad works, please visit the DataLad Handbook documentation .