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Assessment of the European Society of Cardiology 0-Hour/1-Hour Algorithm to Rule-Out and Rule-In Acute Myocardial Infarction

Overview of attention for article published in Circulation, October 2016
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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2 news outlets
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32 X users
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2 patents
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1 Facebook page

Citations

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108 Dimensions

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Title
Assessment of the European Society of Cardiology 0-Hour/1-Hour Algorithm to Rule-Out and Rule-In Acute Myocardial Infarction
Published in
Circulation, October 2016
DOI 10.1161/circulationaha.116.022677
Pubmed ID
Authors

John W Pickering, Jaimi H Greenslade, Louise Cullen, Dylan Flaws, William Parsonage, Sally Aldous, Peter George, Andrew Worster, Peter A Kavsak, Martin P Than

Abstract

-The European Society of Cardiology (ESC) new guidelines to rule-in and rule-out acute myocardial infarction (AMI) in the emergency department (ED) include a rapid assessment algorithm based on high-sensitivity cardiac troponin and sampling at zero and one hour. ED physicians require very high sensitivity to confidently rule-out AMI, while cardiologists aim to minimise false positive results. -High-sensitivity troponin I (hs-cTnI) and T (hs-cTnT) assays were used to measure troponin concentrations in patients presenting with chest-pain symptoms and being investigated for possible acute coronary syndrome at hospitals in New Zealand, Australia and Canada. AMI outcomes were independently adjudicated by at least two physicians. The ESC algorithm performance with each assay was assessed by the sensitivity and proportion with AMI ruled out, and the positive predictive value (PPV) and proportion ruled-in. -There were 2222 patients with serial hs-cTnT and hs-cTnI measurements. The hs-cTnT algorithm ruled out 1425 (64.1%) with a sensitivity of 97.1% (95%CI: 94.0% to 98.8%) and ruled-in 292 (13.1%) with a PPV of 63.4% (57.5% to 68.9%)). The hs-cTnI algorithm ruled out 1205 (54.2%) with a sensitivity of 98.8% (96.4% to 99.7%)) and ruled-in 310 (14.0%) with a PPV of 68.1% (62.6% to 73.2%). -The sensitivity of the ESC rapid assessment 0/1h algorithm to rule-out AMI with hs-cTn may be insufficient for some ED physicians to confidently send patients home. These algorithms may prove useful to identify patients requiring expedited management. However, the PPV was modest for both algorithms.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 109 99%

Demographic breakdown

Readers by professional status Count As %
Other 15 14%
Researcher 12 11%
Student > Bachelor 12 11%
Student > Ph. D. Student 11 10%
Student > Doctoral Student 10 9%
Other 31 28%
Unknown 19 17%
Readers by discipline Count As %
Medicine and Dentistry 58 53%
Nursing and Health Professions 7 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Unspecified 1 <1%
Business, Management and Accounting 1 <1%
Other 6 5%
Unknown 33 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 24 January 2024.
All research outputs
#1,017,920
of 25,765,370 outputs
Outputs from Circulation
#2,506
of 21,243 outputs
Outputs of similar age
#18,550
of 324,170 outputs
Outputs of similar age from Circulation
#49
of 185 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.5. 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 324,170 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 94% of its contemporaries.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.