↓ Skip to main content

CMAJ

Validation and refinement of a clinical decision rule for the use of computed tomography in children with minor head injury in the emergency department

Overview of attention for article published in Canadian Medical Association Journal, July 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
64 X users
facebook
5 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
92 Mendeley
Title
Validation and refinement of a clinical decision rule for the use of computed tomography in children with minor head injury in the emergency department
Published in
Canadian Medical Association Journal, July 2018
DOI 10.1503/cmaj.170406
Pubmed ID
Authors

Martin H Osmond, Terry P Klassen, George A Wells, Jennifer Davidson, Rhonda Correll, Kathy Boutis, Gary Joubert, Serge Gouin, Simi Khangura, Troy Turner, Francois Belanger, Norm Silver, Brett Taylor, Janet Curran, Ian G Stiell

Abstract

There is uncertainty about which children with minor head injury need to undergo computed tomography (CT). We sought to prospectively validate the accuracy and potential for refinement of a previously derived decision rule, Canadian Assessment of Tomography for Childhood Head injury (CATCH), to guide CT use in children with minor head injury. This multicentre cohort study in 9 Canadian pediatric emergency departments prospectively enrolled children with blunt head trauma presenting with a Glasgow Coma Scale score of 13-15 and loss of consciousness, amnesia, disorientation, persistent vomiting or irritability. Phys icians completed standardized assessment forms before CT, including clinical predictors of the rule. The primary outcome was neurosurgical intervention and the secondary outcome was brain injury on CT. We calculated test characteristics of the rule and used recursive partitioning to further refine the rule. Of 4060 enrolled patients, 23 (0.6%) underwent neurosurgical intervention, and 197 (4.9%) had brain injury on CT. The original 7-item rule (CATCH) had sensitivities of 91.3% (95% confidence interval [CI] 72.0%-98.9%) for neurosurgical intervention and 97.5% (95% CI 94.2%-99.2%) for predicting brain injury. Adding "≥ 4 episodes of vomiting" resulted in a refined 8-item rule (CATCH2) with 100% (95% CI 85.2%-100%) sensitivity for neurosurgical intervention and 99.5% (95% CI 97.2%-100%) sensitivity for brain injury. Among children presenting to the emergency department with minor head injury, the CATCH2 rule was highly sensitive for identifying those children requiring neurosurgical intervention and those with any brain injury on CT. The CATCH2 rule should be further validated in an implementation study designed to assess its clinical impact.

X Demographics

X Demographics

The data shown below were collected from the profiles of 64 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 14%
Other 11 12%
Student > Master 8 9%
Professor > Associate Professor 7 8%
Student > Ph. D. Student 7 8%
Other 22 24%
Unknown 24 26%
Readers by discipline Count As %
Medicine and Dentistry 43 47%
Nursing and Health Professions 5 5%
Biochemistry, Genetics and Molecular Biology 3 3%
Psychology 3 3%
Computer Science 3 3%
Other 8 9%
Unknown 27 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 02 June 2023.
All research outputs
#628,327
of 24,357,902 outputs
Outputs from Canadian Medical Association Journal
#1,027
of 9,175 outputs
Outputs of similar age
#14,222
of 331,297 outputs
Outputs of similar age from Canadian Medical Association Journal
#26
of 118 outputs
Altmetric has tracked 24,357,902 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,175 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.7. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,297 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.