K
Katherine M. Conigrave
Researcher at Royal Prince Alfred Hospital
Publications - 203
Citations - 7180
Katherine M. Conigrave is an academic researcher from Royal Prince Alfred Hospital. The author has contributed to research in topics: Population & Poison control. The author has an hindex of 38, co-authored 188 publications receiving 6569 citations. Previous affiliations of Katherine M. Conigrave include Harvard University & St. Vincent's Health System.
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Journal ArticleDOI
Roles of Drinking Pattern and Type of Alcohol Consumed in Coronary Heart Disease in Men
Kenneth J. Mukamal,Katherine M. Conigrave,Murray A. Mittleman,Carlos A. Camargo,Meir J. Stampfer,Walter C. Willett,Eric B. Rimm +6 more
TL;DR: In this article, the authors studied the association of alcohol consumption with the risk of myocardial infarction among 38,077 male health professionals who were free of cardiovascular disease and cancer at base line.
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The AUDIT questionnaire: choosing a cut-off score
TL;DR: It is concluded that the recommended cut-off score of eight is a reasonable approximation to the optimal for a variety of endpoints and a good predictor of both alcohol-related social and medical problems.
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Alcohol use in China.
TL;DR: There is a need for increased policies and public health programmes to reduce alcohol related harm, and evaluation of outpatient treatment potential.
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Traditional markers of excessive alcohol use.
TL;DR: These conventional tests are widely available and relatively inexpensive, and while having limited sensitivity and specificity in detection of excessive drinking, they also provide valuable data on complications of drinking, comorbid conditions that may be affected by drinking and, in some cases, prognosis.
Journal ArticleDOI
CDT, GGT, and AST as markers of alcohol use: the WHO/ISBRA collaborative project.
Katherine M. Conigrave,Louisa Degenhardt,John Whitfield,John B. Saunders,Anders Helander,Boris Tabakoff +5 more
TL;DR: CDT was little better than GGT in detecting high- or intermediate-risk alcohol consumption in this large, multicenter, predominantly community-based sample.