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The Role of Pre-Hospital Telecardiology in Reducing the Coronary Reperfusion Time; a Brief Report.

Overview of attention for article published in Emergency, February 2019
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Title
The Role of Pre-Hospital Telecardiology in Reducing the Coronary Reperfusion Time; a Brief Report.
Published in
Emergency, February 2019
Pubmed ID
Authors

Peyman Saberian, Nader Tavakoli, Tayeb Ramim, Parisa Hasani-Sharamin, Elham Shams, Alireza Baratloo

Abstract

Telecardiology is defined as using telecommunication for remote treatment of cardiac patients. This study aimed to assess the role of pre-hospital triage via telecardiology on coronary reperfusion time of patients with ST segment elevation myocardial infarction (STEMI). This cross-sectional study was conducted from September, 2015 to January, 2018 in six academic referral hospitals, Tehran, Iran. Studied patients were divided into two groups of percutaneous coronary intervention (PCI) following telecardiology or PCI following emergency department (ED) diagnosis of STEMI and time to reperfusion was compared between them. 1205 patients with the mean age of 58.99 ± 12.33 (19-95) years entered the study (82.7% male). 841 (69.8%) cases were transferred directly to the Cath-Lab following telecardiology and 364 (30.2%) cases were first admitted to the ED. There was no significant difference between the groups regarding mean age (p = 0.082) and gender (p = 0.882) of participants. Symptom-to-device interval time in patients who underwent PCI following telecardiology was significantly lower (p < 0.001); however, the difference was not significant in the first medical contact (FMC)-to-device interval time (p = 0.268). It is likely that the use of telecardiology in pre-hospital triage plays an important role in reducing time to PCI for patients with STEMI.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 16%
Professor > Associate Professor 4 16%
Student > Bachelor 3 12%
Student > Ph. D. Student 3 12%
Other 2 8%
Other 4 16%
Unknown 5 20%
Readers by discipline Count As %
Medicine and Dentistry 11 44%
Unspecified 1 4%
Business, Management and Accounting 1 4%
Nursing and Health Professions 1 4%
Linguistics 1 4%
Other 2 8%
Unknown 8 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 March 2019.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Emergency
#161
of 208 outputs
Outputs of similar age
#386,314
of 447,218 outputs
Outputs of similar age from Emergency
#9
of 9 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 208 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.