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Clinical decision aids for chest pain in the emergency department: identifying low-risk patients

Overview of attention for article published in Open access emergency medicine OAEM, November 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

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66 Mendeley
Title
Clinical decision aids for chest pain in the emergency department: identifying low-risk patients
Published in
Open access emergency medicine OAEM, November 2015
DOI 10.2147/oaem.s71282
Pubmed ID
Authors

William Alley, Simon A Mahler

Abstract

Chest pain is one of the most common presenting complaints in the emergency department, though only a small minority of patients are subsequently diagnosed with acute coronary syndrome (ACS). However, missing the diagnosis has potential for significant morbidity and mortality. ACS presentations can be atypical, and their workups are often prolonged and costly. In order to risk-stratify patients and better direct the workup and care given, many decision aids have been developed. While each may have merit in certain clinical settings, the most useful aid in the emergency department is one that finds all cases of ACS while also identifying a substantial subset of patients at low risk who can be discharged without stress testing or coronary angiography. This review describes several of the chest pain decision aids developed and studied through the recent past, starting with the thrombolysis in myocardial infarction (TIMI) risk score and Global Registry of Acute Coronary Events (GRACE) scores, which were developed as prognostic aids for patients already diagnosed with ACS, then subsequently validated in the undifferentiated chest pain population. Asia-Pacific Evaluation of Chest Pain Trial (ASPECT); Accelerated Diagnostic Protocol to Assess Patients With Chest Pain Symptoms Using Contemporary Troponins (ADAPT); North American Chest Pain Rule (NACPR); and History, Electrocardiogram, Age, Risk factors, Troponin (HEART) score have been developed exclusively for use in the undifferentiated chest pain population as well, with improved performance compared to their predecessors. This review describes the relative merits and limitations of these decision aids so that providers can determine which tool fits the needs of their clinical practice setting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 15%
Student > Bachelor 9 14%
Student > Postgraduate 8 12%
Other 6 9%
Researcher 4 6%
Other 14 21%
Unknown 15 23%
Readers by discipline Count As %
Medicine and Dentistry 33 50%
Nursing and Health Professions 10 15%
Unspecified 1 2%
Computer Science 1 2%
Agricultural and Biological Sciences 1 2%
Other 2 3%
Unknown 18 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 November 2015.
All research outputs
#14,277,392
of 25,374,647 outputs
Outputs from Open access emergency medicine OAEM
#94
of 230 outputs
Outputs of similar age
#132,093
of 294,815 outputs
Outputs of similar age from Open access emergency medicine OAEM
#2
of 2 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 230 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 57% 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 294,815 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.