Titre :
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A case-control study of hepatitis B and C virus infection as risk factors for hepatocellular carcinoma in Henan, China. (1998)
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Auteurs :
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J.Y. ZHANG ;
L.P. DAI ;
S.G. HAN ;
HUI ZHUANG . (.) ;
D.S. LI ;
W.Q. LU ;
MIN DAI . (.) ;
K.J. WANG ;
XIAO WANG . (.) ;
M.X. ZHANG ;
Y.F. ZHOU ;
Department of Epidemiology. Henan Medical University. Zhengzhou Henan. CHN
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Type de document :
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Article
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Dans :
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International journal of epidemiology (vol. 27, n° 4, 1998)
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Pagination :
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574-578
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Langues:
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Anglais
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Mots-clés :
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Cancer
;
Foie
;
Hépatite virale B
;
Virose
;
Infection
;
Hépatite virale C
;
Epidémiologie
;
Facteur risque
;
Homme
;
Chine
;
Asie
;
Appareil digestif [pathologie]
;
Foie [pathologie]
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Résumé :
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[BDSP. Notice produite par INIST 1mh8R0xW. Diffusion soumise à autorisation]. Background Hepatocellular carcinoma (HCC) is one of the most common cancers in the world and is particularly prevalent in China. China is also a hyperendemic area for hepatitis B virus (HBV) infection. Although a strong association between HBV infection and HCC has been established previously, the role of hepatitis C virus (HCV) infection and the interaction between HBV and HCV in the development of HCC has not been adequately explored. The major objective of this study is to determine the relationship between HBV or HCV infection and HCC by use of case-control study in Henan, China. Method In all, 152 HCC patients and 115 control patients were collected from four hospitals in Henan, China between January 1994 and October 1995. The demographic characteristics of the two groups were comparable. In further analysis, a 1 : 1 pair-matched case-control study was performed. Of 152 HCC patients, 113 were randomly selected to be pair-matched by sex and age ( 5 years) to controls with non-hepatic disease. All the cases and controls were interviewed during hospitalization by two specially trained interviewers using a standard questionnaire. All sera were tested for HBV and HCV markers. Odds ratios (OR) and 95% CI for HCC risk factors were calculated by logistic regression model controlling for possible confounding factors such as sex and age. The multivariate analysis was done on the basis of the univariate analysis. (...)
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