| Title |
Predicting Concussion Recovery in Children and Adolescents in the Emergency Department
|
|---|---|
| Published in |
Current Neurology and Neuroscience Reports, September 2018
|
| DOI | 10.1007/s11910-018-0881-z |
| Pubmed ID | |
| Authors |
Vanessa C. Rausa, Vicki Anderson, Franz E. Babl, Michael Takagi |
| Abstract |
Concussion, or mild traumatic brain injury (mTBI), represents the majority of pediatric Emergency Department (ED) presentations of TBI. While most children and adolescents will recover within 4 weeks of injury, approximately one third will continue to experience persisting symptoms. This review aimed to provide an overview of literature from the past 5 years examining predictors of recovery in the ED. Predictors could be characterized into three categories; (i) cognition, (ii) proteomics, and (iii) pre-injury/injury-related factors. There is preliminary support for the use of computerized neuropsychological testing. The prognostic use of proteomics is a promising area of future research. Pre-injury and injury-related characteristics have been thoroughly examined and developed into a clinical risk score for predicting delayed recovery. Substantial progress has been made in identifying risk factors for delayed recovery at ED presentation. The current evidence provides a platform for additional research that can refine and validate these predictors. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 15% |
| Other | 5 | 13% |
| Student > Doctoral Student | 5 | 13% |
| Researcher | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 8 | 21% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 12 | 31% |
| Medicine and Dentistry | 10 | 26% |
| Unspecified | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 12 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2019.
All research outputs
#14,264,158
of 23,305,591 outputs
Outputs from Current Neurology and Neuroscience Reports
#619
of 930 outputs
Outputs of similar age
#185,375
of 342,568 outputs
Outputs of similar age from Current Neurology and Neuroscience Reports
#16
of 29 outputs
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