کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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6047926 | 1191207 | 2012 | 7 صفحه PDF | دانلود رایگان |
ObjectiveThe purpose of the present study was to develop a risk estimation model for the 10-year risk of hepatocellular carcinoma (HCC) that could be easily used in a general population to aid in the prevention of HCC.MethodsOur prediction model was derived from data obtained on 17,654 Japanese aged 40 to 69 years who participated in health checkups (follow-up: 1993-2006). Cox proportional hazards regression was applied to obtain coefficients for each predictor.ResultsDuring follow-up, a total of 104 cases of HCC were newly diagnosed. After checking the model fit, we incorporated age, sex, alcohol consumption, body mass index, diabetes, coffee consumption, and hepatitis B and C virus infection into the prediction model. The model showed satisfactory discrimination (Harrell's c-index = 0.94) and was well calibrated (the overall observed/expected ratio = 1.03, 95% confidence interval = 0.83-1.29). We also developed a simple risk scoring system. Those subjects with total scores of 17 or more under this system (score range: â 1 to 19) had an estimated 10-year HCC risk of over 90%; those with 4 points or less had an estimated risk of less than 0.1%.ConclusionWe developed a simple 10-year risk prediction model for HCC in the Japanese general population as a public education tool.
âºWe developed a 10-year risk prediction model for HCC in a general population. âºThis is the first population-based study to estimate the risk of HCC development. âºOur prediction model was consisted of modifiable risk factors. âºThis tool is a useful first step in promoting HCC primary prevention.
Journal: Preventive Medicine - Volume 55, Issue 2, August 2012, Pages 137-143