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Prospective validation of a clinical decision rule to identify patients presenting to the emergency department with chest pain who can safely be removed from cardiac monitoring

Overview of attention for article published in Canadian Medical Association Journal, January 2017
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
2 news outlets
blogs
5 blogs
twitter
115 X users
facebook
7 Facebook pages

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
58 Mendeley
citeulike
1 CiteULike
Title
Prospective validation of a clinical decision rule to identify patients presenting to the emergency department with chest pain who can safely be removed from cardiac monitoring
Published in
Canadian Medical Association Journal, January 2017
DOI 10.1503/cmaj.160742
Pubmed ID
Authors

Shahbaz Syed, Mathieu Gatien, Jeffrey J Perry, Hina Chaudry, Soo-Min Kim, Kenneth Kwong, Muhammad Mukarram, Venkatesh Thiruganasambandamoorthy

Abstract

Most patients with chest pain in the emergency department are assigned to cardiac monitoring for several hours, blocking access for patients in greater need. We sought to validate a previously derived decision rule for safe removal of patients from cardiac monitoring after initial evaluation in the emergency department. We prospectively enrolled adults (age ≥ 18 yr) who presented with chest pain and were assigned to cardiac monitoring at 2 academic emergency departments over 18 months. We collected standardized baseline characteristics, findings from clinical evaluations and predictors for the Ottawa Chest Pain Cardiac Monitoring Rule: whether the patient is currently free of chest pain, and whether the electrocardiogram is normal or shows only nonspecific changes. The outcome was an arrhythmia requiring intervention in the emergency department or within 8 hours of presentation to the emergency department. We calculated diagnostic characteristics for the clinical prediction rule. We included 796 patients (mean age 63.8 yr, 55.8% male, 8.9% admitted to hospital). Fifteen patients (1.9%) had an arrhythmia, and the rule performed with the following characteristics: sensitivity 100% (95% confidence interval [CI] 78.2%-100%) and specificity 36.4% (95% CI 33.0%-39.6%). Application of the Ottawa Chest Pain Cardiac Monitoring Rule would have allowed 284 out of 796 patients (35.7%) to be safely removed from cardiac monitoring. We successfully validated the decision rule for safe removal of a large subset of patients with chest pain from cardiac monitoring after initial evaluation in the emergency department. Implementation of this simple yet highly sensitive rule will allow for improved use of health care resources.

X Demographics

X Demographics

The data shown below were collected from the profiles of 115 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 10%
Student > Postgraduate 6 10%
Student > Master 6 10%
Student > Doctoral Student 6 10%
Student > Bachelor 5 9%
Other 15 26%
Unknown 14 24%
Readers by discipline Count As %
Medicine and Dentistry 26 45%
Nursing and Health Professions 10 17%
Computer Science 1 2%
Unspecified 1 2%
Psychology 1 2%
Other 1 2%
Unknown 18 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 117. 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 31 March 2023.
All research outputs
#360,718
of 25,604,262 outputs
Outputs from Canadian Medical Association Journal
#642
of 9,508 outputs
Outputs of similar age
#7,855
of 425,371 outputs
Outputs of similar age from Canadian Medical Association Journal
#12
of 74 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.1. 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 425,371 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 98% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.