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Precision Medicine in Alcohol Dependence: A Controlled Trial Testing Pharmacotherapy Response Among Reward and Relief Drinking Phenotypes

Overview of attention for article published in Neuropsychopharmacology, November 2017
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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)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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1 news outlet
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17 X users

Citations

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90 Dimensions

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98 Mendeley
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Title
Precision Medicine in Alcohol Dependence: A Controlled Trial Testing Pharmacotherapy Response Among Reward and Relief Drinking Phenotypes
Published in
Neuropsychopharmacology, November 2017
DOI 10.1038/npp.2017.282
Pubmed ID
Authors

Karl Mann, Corey R Roos, Sabine Hoffmann, Helmut Nakovics, Tagrid Leménager, Andreas Heinz, Katie Witkiewitz

Abstract

Randomized trials of medications for alcohol dependence (AD) often report no differences between active medications. Few studies in AD have tested hypotheses regarding which medication will work best for which patients (ie, precision medicine). The PREDICT Study tested acamprosate and naltrexone versus placebo in 426 randomly assigned AD patients in a 3-month treatment. PREDICT proposed individuals whose drinking was driven by positive reinforcement (ie, reward drinkers) would have a better treatment response to naltrexone, whereas individuals whose drinking was driven by negative reinforcement (ie, relief drinkers) would have a better treatment response to acamprosate. The goal of the current analysis was to test this precision medicine hypothesis of the PREDICT study via analyses of subgroups. Results indicated that four phenotypes could be derived using the Inventory of Drinking Situations, a 30-item self-report questionnaire. These were high reward/high relief, high reward/low relief, low reward/high relief, and low reward/low relief phenotypes. Construct validation analyses provided strong support for the validity of these phenotypes. The subgroup of individuals who were predominantly reward drinkers and received naltrexone versus placebo had an 83% reduction in the likelihood of any heavy drinking (large effect size). Cut-off analyses were done for clinical applicability: individuals are reward drinkers and respond to naltrexone if their reward score was higher than their relief score AND their reward score was between 12 and 31. Using naltrexone with individuals who are predominantly reward drinkers produces significantly higher effect sizes than prescribing the medication to a more heterogeneous sample.Neuropsychopharmacology accepted article preview online, 20 November 2017. doi:10.1038/npp.2017.282.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 14%
Researcher 13 13%
Student > Bachelor 9 9%
Student > Master 7 7%
Professor 6 6%
Other 22 22%
Unknown 27 28%
Readers by discipline Count As %
Psychology 29 30%
Medicine and Dentistry 12 12%
Neuroscience 5 5%
Unspecified 4 4%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 12 12%
Unknown 32 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 23 March 2020.
All research outputs
#1,987,609
of 25,584,565 outputs
Outputs from Neuropsychopharmacology
#957
of 5,202 outputs
Outputs of similar age
#43,044
of 446,457 outputs
Outputs of similar age from Neuropsychopharmacology
#21
of 82 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,202 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.3. This one has done well, scoring higher than 81% 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 446,457 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 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.