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Predictor variables of abnormal imaging findings of syncope in the emergency department

Overview of attention for article published in International Journal of Emergency Medicine, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 610)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 news outlet
blogs
2 blogs
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5 X users

Citations

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2 Dimensions

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17 Mendeley
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Title
Predictor variables of abnormal imaging findings of syncope in the emergency department
Published in
International Journal of Emergency Medicine, March 2018
DOI 10.1186/s12245-018-0180-0
Pubmed ID
Authors

Kerem Ozturk, Esra Soylu, Cem Bilgin, Bahattin Hakyemez, Mufit Parlak

Abstract

This study aimed to describe the pathological findings and to analyze clinical predictors of abnormal imaging findings in patients presenting to the emergency department (ED) with syncope. The database was retrospectively reviewed for all patients who underwent cranial computed tomography (CT) or magnetic resonance imaging (MRI), having the symptom of syncope. Patients were included only if they were from the emergency department and excluded if were under 18 years of age, had known recent intracranial pathology, known brain tumor, or having a history of trauma. The primary outcome was assumed as abnormal head CT or MRI including intracranial hemorrhage, acute or subacute stroke, and newly diagnosed brain mass. Univariate and multivariate logistic regression analysis was utilized to determine the association between clinical variables and any significant pathology in either CT or MR scan. Total of 1230 syncope (717 men and 513 women; range, 18-92 years; mean, 54.5 years) as presenting symptoms were identified in patients receiving either cranial CT or MR scan in the ED. Abnormal findings related to the syncope were observed in 47 (3.8%) patients. The following predictor variables were found to be significantly correlated with acutely abnormal head CT and MRI: a focal neurologic deficit, history of malignancy, hypertension, and age greater than 60 years. Our data offer that the identification of predictor variables has a potential to decrease the routine use of head CT and MRI in patients admitting to the ED with syncope.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 12%
Student > Postgraduate 2 12%
Researcher 2 12%
Student > Ph. D. Student 2 12%
Other 1 6%
Other 3 18%
Unknown 5 29%
Readers by discipline Count As %
Medicine and Dentistry 8 47%
Unspecified 1 6%
Neuroscience 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 6 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 23 September 2019.
All research outputs
#1,468,901
of 23,567,572 outputs
Outputs from International Journal of Emergency Medicine
#42
of 610 outputs
Outputs of similar age
#34,149
of 333,774 outputs
Outputs of similar age from International Journal of Emergency Medicine
#2
of 22 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 610 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 93% 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 333,774 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 89% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.