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Chapter 3.1<br />
134<br />
DISCUSSION<br />
The aim of this study was to determine the long-term clinical outcome of chronic hepatitis<br />
C patients who did not respond to interferon monotherapy and to evaluate the effect<br />
of glycyrrhizin treatment on the incidence of HCC in this group of patients.<br />
During follow-up 107 patients developed HCC. This is well in accordance with data<br />
published by Yoshida et al., who presented the rates of development of HCC by age, sex<br />
and fi brosis stage in their population of non-sustained responders. Applying these rates<br />
to our dataset would lead to an expected number of 117 HCCs (95% CI 99-139) during<br />
6.1 years of follow-up. 10 In our cohort the overall yearly incidence of HCC was 1.6%. Previous<br />
large cohort studies found a yearly incidence of 0.3 to 2.7% per year in Japanese<br />
non sustained responders to interferon treatment. 10-12 In the literature, lower rates of<br />
HCC development are described in patients who relapsed after an initial response and<br />
in patients with persistently low ALT levels. 13 Similarly, in our cohort, patients with lower<br />
baseline ALT levels had a smaller probability of developing HCC.<br />
As chronic hepatitis C only progresses slowly, it is hard to evaluate the effi cacy of<br />
treatment on clinical outcomes like mortality and development of HCC in randomized<br />
controlled trials. Therefore, “best” information should be derived from cohort studies.<br />
However, cohort studies are only reliable if the drop-out rate is low compared to the<br />
events. In retrospective cohort studies the risk of introducing bias is even larger. Incomplete<br />
capture of early clinical events, confounding bias and compliance bias have been<br />
described as possible confounders in retrospective studies. 14 In large randomized trials<br />
this problem is usually avoided, as unmeasured confounders are likely to be equally<br />
divided over the groups by randomization.<br />
We executed this retrospective cohort analysis with great care to avoid these biases.<br />
Incomplete capture of clinical events could not play a role in our analysis as the development<br />
of HCC was monitored during the whole follow-up period. Secondly, confounding<br />
bias may have played a role as raised ALT-levels increased both the chance of receiving<br />
glycyrrhizin treatment as the risk of developing HCC. Sophisticated statistical analyses<br />
were used to correct for this confounder. 9,15,16<br />
Finally, compliance bias may have played a role in this study, as patients who are willing<br />
to attend the hospital several times a week for intravenous injections of glycyrrhizin are<br />
possibly also more likely to adhere to other protective types of behavior. However, the<br />
fact that the follow-up of patients who did not receive glycyrrhizin was similar to those<br />
who did, suggests that they were equally compliant in their hospital visits.<br />
A previous study on the effect of glycyrrhizin on clinical outcome did show a signifi cant<br />
protective effect on development of HCC. 17 In our study we refi ned the methodology<br />
by using an intention-to-treat approach. All patients who received glycyrrhizin were