Literature DB >> 22009822

Impact of delayed diagnosis time in estimating progression rates to hepatitis C virus-related cirrhosis and death.

Bo Fu1, Wenbin Wang2, Xin Shi3.   

Abstract

Delay of the diagnosis of hepatitis C virus (HCV), and its treatment to avert cirrhosis, is often present sincethe early stage of HCV progression is latent. Current methods to determine the incubation time to HCV-related cirrhosis and the duration time from cirrhosis to subsequent events (e.g. complications or death) used to be based on the time of liver biopsy diagnosis and ignore this delay which led to an interval censoring for the first event time and a double censoring for the subsequent event time. To investigate the impact of this delay in estimating HCV progression rates and relevant estimating bias, we present a correlated two-stage progression model for delayed diagnosis time and fit the developed model to the previously studied hepatitis C cohort data from Edinburgh. Our analysis shows that taking the delayed diagnosis into account gives a mildly different estimate of progression rate to cirrhosis and significantly lower estimated progression rate to HCV-related death in comparison with conventional modelling. We also find that when the delay increases, the bias in estimating progression increases significantly.
© The Author(s) 2011.

Entities:  

Keywords:  cirrhosis; delayed diagnosis; hepatitis C virus (HCV); progression rate; two-stage model

Mesh:

Year:  2011        PMID: 22009822     DOI: 10.1177/0962280211424667

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  2 in total

1.  Chronic hepatitis C virus (HCV) burden in Rhode Island: modelling treatment scale-up and elimination.

Authors:  A I Soipe; H Razavi; D Razavi-Shearer; O Galárraga; L E Taylor; B D L Marshall
Journal:  Epidemiol Infect       Date:  2016-08-05       Impact factor: 2.451

2.  The impact of COVID-19 pandemic on the 2020 hepatitis C cascade of care in the Republic of Georgia.

Authors:  A Gamkrelidze; S Handanagic; S Shadaker; A Turdziladze; M Tsereteli; V Getia; A Aslanikashvili; S Surguladze; L Gvinjilia; T Kuchuloria; I Tskhomelidze; P A Armstrong
Journal:  Public Health       Date:  2022-02-09       Impact factor: 2.427

  2 in total

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