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Prognostic capabilities of coronary computed tomographic angiography before non-cardiac surgery: prospective cohort study

Overview of attention for article published in British Medical Journal, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

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28 X users
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6 Facebook pages

Citations

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104 Dimensions

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138 Mendeley
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Title
Prognostic capabilities of coronary computed tomographic angiography before non-cardiac surgery: prospective cohort study
Published in
British Medical Journal, April 2015
DOI 10.1136/bmj.h1907
Pubmed ID
Authors

Tej Sheth, Matthew Chan, Craig Butler, Benjamin Chow, Vikas Tandon, Peter Nagele, Ayesha Mitha, Marko Mrkobrada, Wojciech Szczeklik, Yang Faridah, Bruce Biccard, Lori K Stewart, Diane Heels-Ansdell, P J Devereaux

Abstract

To determine if coronary computed tomographic angiography enhances prediction of perioperative risk in patients before non-cardiac surgery and to assess the preoperative coronary anatomy in patients who experience a myocardial infarction after non-cardiac surgery. Prospective cohort study. 12 centers in eight countries. 955 patients with, or at risk of, atherosclerotic disease who underwent non-cardiac surgery. Coronary computed tomographic angiography was performed preoperatively; clinicians were blinded to the results unless left main disease was suspected. Results were classified as normal, non-obstructive (<50% stenosis), obstructive (one or two vessels with ≥50% stenosis), or extensive obstructive (≥50% stenosis in two vessels including the proximal left anterior descending artery, three vessels, or left main). Composite of cardiovascular death and non-fatal myocardial infarction within 30 days after surgery (primary outcome). This was the dependent variable in Cox regression. The independent variables were scores on the revised cardiac risk index and findings on coronary computed tomographic angiography. The primary outcome occurred in 74 patients (8%). The model that included both scores on the revised cardiac risk index and findings on coronary computed tomographic angiography showed that coronary computed tomographic angiography provided independent prognostic information (P=0.014; C index=0.66). The adjusted hazard ratios were 1.51 (95% confidence interval 0.45 to 5.10) for non-obstructive disease; 2.05 (0.62 to 6.74) for obstructive disease; and 3.76 (1.12 to 12.62) for extensive obstructive disease. For the model with coronary computed tomographic angiography compared with the model based on the revised cardiac risk index alone, with 30 day risk categories of <5%, 5-15%, and >15% for the primary outcome, the results of risk reclassification indicate that in a sample of 1000 patients that coronary computed tomographic angiography would have resulted appropriately in 17 net patients receiving a higher risk estimation among the 77 patients who would have experienced the primary outcome (P<0.001). Coronary computed tomographic angiography, however, would have resulted inappropriately in 98 net patients receiving a higher risk estimation, among the 923 patients who would not have experienced the primary outcome (P<0.001). Among patients who had a perioperative myocardial infarction, preoperative coronary anatomy showed extensive obstructive disease in 31% (22/71), obstructive disease in 41% (29/71), non-obstructive disease in 24% (17/71), and normal findings in 4% (3/71). Though findings on coronary computed tomographic angiography can improve estimation of risk for patients who will experience perioperative cardiovascular death or myocardial infarction, findings are more than five times as likely to lead to an inappropriate overestimation of risk among patients who will not experience these outcomes. Perioperative myocardial infarction occurs across the spectrum of coronary artery disease, suggesting that there could be several pathophysiologic mechanisms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
Spain 1 <1%
Unknown 136 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 11%
Professor > Associate Professor 15 11%
Other 14 10%
Student > Master 14 10%
Student > Ph. D. Student 10 7%
Other 39 28%
Unknown 31 22%
Readers by discipline Count As %
Medicine and Dentistry 81 59%
Agricultural and Biological Sciences 3 2%
Nursing and Health Professions 3 2%
Social Sciences 3 2%
Computer Science 1 <1%
Other 10 7%
Unknown 37 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 10 October 2019.
All research outputs
#2,097,146
of 25,701,027 outputs
Outputs from British Medical Journal
#18,896
of 64,941 outputs
Outputs of similar age
#25,965
of 280,924 outputs
Outputs of similar age from British Medical Journal
#492
of 994 outputs
Altmetric has tracked 25,701,027 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 64,941 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.2. This one has gotten more attention than average, scoring higher than 70% 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 280,924 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 90% of its contemporaries.
We're also able to compare this research output to 994 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 50% of its contemporaries.