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Differential diagnosis of dizziness after a sports-related concussion based on descriptors and triggers: an observational study

Overview of attention for article published in Injury Epidemiology, September 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
Differential diagnosis of dizziness after a sports-related concussion based on descriptors and triggers: an observational study
Published in
Injury Epidemiology, September 2015
DOI 10.1186/s40621-015-0055-2
Pubmed ID
Authors

Jennifer C. Reneker, Vinay Cheruvu, Jingzhen Yang, Chad E. Cook, Mark A. James, M. Clay Moughiman, Joseph A. Congeni

Abstract

Dizziness is often reported after a sports-related concussion. Forces experienced at the time of the concussion can cause an injury to multiple anatomical areas, including the central nervous system, the vestibular system, and the cervical spine, each of which is sufficient to cause dizziness. Medical professionals routinely use the subjective history to develop hypotheses about what may be causing a patient's dizziness. No previous studies have attempted to differentiate the source of the dizziness through precise patient descriptors or the triggers of dizziness. A structured symptom questionnaire was developed through purposive exploration of relevant literature for common dizziness quality descriptors and triggers. This questionnaire was used to interview a sample of 86 adolescent athletes (12-19 years of age) with a sports-related concussion between August 2013 and April 2014. Exploratory Latent Class Analysis was used to uncover latent constructs within the 15 dizziness descriptors and 11 dizziness triggers. The covariates sex, attention deficit hyperactivity disorder, and number of days between the concussion and the assessment were added to the model to estimate if these variables influenced class membership probabilities. Thirty-two (36 %) of the patients interviewed did not report a complaint of dizziness but did affirm one or more of the other descriptors. Three classes of dizziness based on dizziness quality descriptors and three classes based on dizziness triggers were identified by the analysis. Neither the classes of descriptors nor the classes of triggers enabled differentiation based on anatomical etiology of the dizziness. Patient description of dizziness is limited in its ability to assist in differential diagnosis based on anatomical location for athletes with concussion. This may be because more than one area is contributing to the dizziness or because concussed adolescents have difficulty describing the way that they feel. In this case, solely relying on the patient to provide a description of dizziness to develop the formation of hypotheses and lead the direction of objective tests is inappropriate. If the scope of the objective assessment is limited by the patient description of dizziness, it is likely that areas of dysfunction may be overlooked.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Student > Bachelor 12 17%
Other 7 10%
Student > Ph. D. Student 7 10%
Professor 6 8%
Other 12 17%
Unknown 16 22%
Readers by discipline Count As %
Medicine and Dentistry 19 26%
Nursing and Health Professions 12 17%
Sports and Recreations 5 7%
Psychology 5 7%
Agricultural and Biological Sciences 3 4%
Other 9 13%
Unknown 19 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 November 2016.
All research outputs
#5,224,476
of 24,769,082 outputs
Outputs from Injury Epidemiology
#177
of 382 outputs
Outputs of similar age
#63,700
of 278,175 outputs
Outputs of similar age from Injury Epidemiology
#4
of 7 outputs
Altmetric has tracked 24,769,082 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one has gotten more attention than average, scoring higher than 53% 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 278,175 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.