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CDT, GGT, and AST As Markers of Alcohol Use: The WHO/ISBRA Collaborative Project

Overview of attention for article published in Alcoholism: Clinical & Experimental Research, April 2006
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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1 news outlet

Citations

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242 Dimensions

Readers on

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83 Mendeley
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Title
CDT, GGT, and AST As Markers of Alcohol Use: The WHO/ISBRA Collaborative Project
Published in
Alcoholism: Clinical & Experimental Research, April 2006
DOI 10.1111/j.1530-0277.2002.tb02542.x
Pubmed ID
Authors

Katherine M. Conigrave, Louisa J. Degenhardt, John B. Whitfield, John B. Saunders, Anders Helander, Boris Tabakoff, on behalf of the WHO/ISBRA Study Group

Abstract

Estimates of the performance of carbohydrate deficient transferrin (CDT) and gamma glutamyltransferase (GGT) as markers of alcohol consumption have varied widely. Studies have differed in design and subject characteristics. The WHO/ISBRA Collaborative Study allows assessment and comparison of CDT, GGT, and aspartate aminotransferase (AST) as markers of drinking in a large, well-characterized, multicenter sample. A total of 1863 subjects were recruited from five countries (Australia, Brazil, Canada, Finland, and Japan). Recruitment was stratified by alcohol use, age, and sex. Demographic characteristics, alcohol consumption, and presence of ICD-10 dependence were recorded using an interview schedule based on the AUDADIS. CDT was assayed using CDTect and GGT and AST by standard methods. Statistical techniques included receiver operating characteristic (ROC) analysis. Multiple regression was used to measure the impact of factors other than alcohol on test performance. CDT and GGT had comparable performance on ROC analysis, with AST performing slightly less well. CDT was a slightly but significantly better marker of high-risk consumption in men. All were more effective for detection of high-risk rather than intermediate-risk drinking. CDT and GGT levels were influenced by body mass index, sex, age, and smoking status. CDT was little better than GGT in detecting high- or intermediate-risk alcohol consumption in this large, multicenter, predominantly community-based sample. As the two tests are relatively independent of each other, their combination is likely to provide better performance than either test alone. Test interpretation should take account sex, age, and body mass index.

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 Kingdom 1 1%
United States 1 1%
South Africa 1 1%
Unknown 80 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 17%
Researcher 13 16%
Student > Ph. D. Student 11 13%
Student > Doctoral Student 7 8%
Student > Master 7 8%
Other 21 25%
Unknown 10 12%
Readers by discipline Count As %
Medicine and Dentistry 36 43%
Psychology 8 10%
Agricultural and Biological Sciences 7 8%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Biochemistry, Genetics and Molecular Biology 4 5%
Other 10 12%
Unknown 12 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 November 2018.
All research outputs
#4,932,966
of 25,837,817 outputs
Outputs from Alcoholism: Clinical & Experimental Research
#1,133
of 3,906 outputs
Outputs of similar age
#13,736
of 85,502 outputs
Outputs of similar age from Alcoholism: Clinical & Experimental Research
#148
of 741 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,906 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has gotten more attention than average, scoring higher than 69% 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 85,502 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 741 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.