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Predicting Clopidogrel Response Using DNA Samples Linked to an Electronic Health Record

Overview of attention for article published in Clinical Pharmacology & Therapeutics, December 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
2 X users

Citations

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90 Dimensions

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83 Mendeley
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Title
Predicting Clopidogrel Response Using DNA Samples Linked to an Electronic Health Record
Published in
Clinical Pharmacology & Therapeutics, December 2011
DOI 10.1038/clpt.2011.221
Pubmed ID
Authors

J T Delaney, A H Ramirez, E Bowton, J M Pulley, M A Basford, J S Schildcrout, Y Shi, R Zink, M Oetjens, H Xu, J H Cleator, E Jahangir, M D Ritchie, D R Masys, D M Roden, D C Crawford, J C Denny

Abstract

Variants in ABCB1 and CYP2C19 have been identified as predictors of cardiac events during clopidogrel therapy initiated after myocardial infarction (MI) or percutaneous coronary intervention (PCI). In addition, PON1 has recently been associated with stent thrombosis. The reported effects of these variants have not yet been replicated in a real-world setting. We used BioVU, the Vanderbilt DNA repository linked to de-identified electronic health records (EHRs), to find data on patients who were on clopidogrel treatment after an MI and/or a PCI; among these, we identified those who had experienced one or more recurrent cardiac events while on treatment (cases, n = 225) and those who had not experienced any cardiac event while on treatment (controls, n = 468). We found that CYP2C19*2 (hazard ratio (HR) 1.54, 95% confidence interval (CI) 1.16-2.06, P = 0.003) and ABCB1 (HR 1.28, 95% CI 1.04-1.57, P = 0.018), but not PON1 (HR 0.91, 95% CI 0.73-1.12, P = 0.370), were associated with recurrent events. In this population, genetic signals for clopidogrel resistance in ABCB1 and CYP2C19 were replicated, supporting the use of EHRs for pharmacogenomic studies. Our data do not show an association between PON1 and recurrent cardiovascular events.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Canada 2 2%
Colombia 1 1%
United Kingdom 1 1%
Unknown 76 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 22%
Researcher 18 22%
Student > Master 9 11%
Other 8 10%
Professor 4 5%
Other 15 18%
Unknown 11 13%
Readers by discipline Count As %
Medicine and Dentistry 28 34%
Agricultural and Biological Sciences 16 19%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Biochemistry, Genetics and Molecular Biology 5 6%
Mathematics 2 2%
Other 9 11%
Unknown 17 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 07 February 2023.
All research outputs
#1,995,728
of 24,213,557 outputs
Outputs from Clinical Pharmacology & Therapeutics
#312
of 4,351 outputs
Outputs of similar age
#14,629
of 250,378 outputs
Outputs of similar age from Clinical Pharmacology & Therapeutics
#4
of 36 outputs
Altmetric has tracked 24,213,557 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 4,351 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 92% 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 250,378 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 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.