Title |
Predicting incident fatty liver using simple cardio-metabolic risk factors at baseline
|
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Published in |
BMC Gastroenterology, July 2012
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DOI | 10.1186/1471-230x-12-84 |
Pubmed ID | |
Authors |
Ki-Chul Sung, Bum-Soo Kim, Yong-Kyun Cho, Dong-il Park, Sookyoung Woo, Seonwoo Kim, Sarah H Wild, Christopher D Byrne |
Abstract |
Non alcoholic fatty liver disease (NAFLD) is associated with increased risk of type 2 diabetes and chronic liver disease but identifying patients who have NAFLD without resorting to expensive imaging tests is challenging. In order to help identify people for imaging investigation of the liver who are at high risk of NAFLD, our aim was to: a) identify easily measured risk factors at baseline that were independently associated with incident fatty liver at follow up, and then b) to test the diagnostic performance of thresholds of these factors at baseline, to predict or to exclude incident fatty liver at follow up. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 13% |
Student > Master | 4 | 10% |
Student > Bachelor | 4 | 10% |
Researcher | 3 | 8% |
Other | 3 | 8% |
Other | 5 | 13% |
Unknown | 15 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 28% |
Biochemistry, Genetics and Molecular Biology | 4 | 10% |
Nursing and Health Professions | 2 | 5% |
Business, Management and Accounting | 1 | 3% |
Mathematics | 1 | 3% |
Other | 5 | 13% |
Unknown | 15 | 38% |