↓ Skip to main content

Clinical practice guidelines for translating pharmacogenomic knowledge to bedside. Focus on anticancer drugs

Overview of attention for article published in Frontiers in Pharmacology, August 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
30 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Clinical practice guidelines for translating pharmacogenomic knowledge to bedside. Focus on anticancer drugs
Published in
Frontiers in Pharmacology, August 2014
DOI 10.3389/fphar.2014.00188
Pubmed ID
Authors

José A. G. Agúndez, Gara Esguevillas, Gemma Amo, Elena García-Martín

Abstract

The development of clinical practice recommendations or guidelines for the clinical use of pharmacogenomics data is an essential issue for improving drug therapy, particularly for drugs with high toxicity and/or narrow therapeutic index such as anticancer drugs. Although pharmacogenomic-based recommendations have been formulated for over 40 anticancer drugs, the number of clinical practice guidelines available is very low. The guidelines already published indicate that pharmacogenomic testing is useful for patient selection, but final dosing adjustment should be carried out on the basis of clinical or analytical parameters rather than on pharmacogenomic information. Patient selection may seem a modest objective, but it constitutes a crucial improvement with regard to the pre-pharmacogenomics situation and it saves patients' lives. However, we should not overstate the current power of pharmacogenomics. At present the pharmacogenomics of anticancer drugs is not sufficiently developed for dose adjustments based on pharmacogenomics only, and no current guidelines recommend such adjustments without considering clinical and/or analytical parameters. This objective, if ever attained, would require the use of available guidelines, further implementation with clinical feedback, plus a combination of genomics and phenomics knowledge.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
United States 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Other 3 10%
Student > Doctoral Student 3 10%
Researcher 3 10%
Professor > Associate Professor 3 10%
Other 5 17%
Unknown 9 30%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 6 20%
Agricultural and Biological Sciences 5 17%
Medicine and Dentistry 5 17%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 10 33%
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 19 August 2014.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Frontiers in Pharmacology
#12,404
of 19,717 outputs
Outputs of similar age
#211,867
of 247,171 outputs
Outputs of similar age from Frontiers in Pharmacology
#47
of 65 outputs
Altmetric has tracked 25,374,917 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 19,717 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 247,171 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.