Title: Multi-disciplinary cooperation for the micro-elimination of hepatitis C in China: A
hospital-based experience
Version: 2 Date: 23 Aug 2023
Reviewer:  Po-Yao Hsu
Reviewer's report:
Zheng et al. established a multi-disciplinary collaboration model to strengthen the tracking,
referral, and treatment of HCV infection, and it could accelerate the elimination of HCV in
China. This study demonstrated an useful HCV micro-elimination strategy in a hospital setting.
I have some comments as follows:
1. I'm curious about the reasons why the rate of correct diagnosis of HCV was so low (67.45%)
during 2016-2021 even though 91.77% of clinicians in 2021 knew that HCV RNA was the basis
of diagnosis?
2. The key of HCV micro-elimination is to establish a screening strategy for people at high risk
of HCV infection. You may describe more about that, and present the proportion of each risk
group in patients with positive HCV RNA (e.g., hemodialysis, HIV, PWID....).
3. Even though the rate of receiving RNA confirmation increased a lot after implementation
of multi-disciplinary collaboration, there were still 11.3% of patient with anti-HCV(+) didn't
receive HCV RNA tests. A reflex testing model built by Huang et al. might be a method to
diminish the gap in accurate HCV RNA diagnosis (Clin Mol Hepatol. 2021 Jan;27(1):136-143.
doi: 10.3350/cmh.2020.0150.)
Title: Multi-disciplinary cooperation for the micro-elimination of hepatitis C in China: A
hospital-based experience
Version: 2 Date: 23 Aug 2023
Reviewer:  Po-Yao Hsu
Reviewer's report:
Zheng et al. established a multi-disciplinary collaboration model to strengthen the tracking,
referral, and treatment of HCV infection, and it could accelerate the elimination of HCV in
China. This study demonstrated an useful HCV micro-elimination strategy in a hospital setting.
I have some comments as follows:
1. I'm curious about the reasons why the rate of correct diagnosis of HCV was so low (67.45%)
during 2016-2021 even though 91.77% of clinicians in 2021 knew that HCV RNA was the basis
of diagnosis?
2. The key of HCV micro-elimination is to establish a screening strategy for people at high risk
of HCV infection. You may describe more about that, and present the proportion of each risk
group in patients with positive HCV RNA (e.g., hemodialysis, HIV, PWID....).
3. Even though the rate of receiving RNA confirmation increased a lot after implementation
of multi-disciplinary collaboration, there were still 11.3% of patient with anti-HCV(+) didn't
receive HCV RNA tests. A reflex testing model built by Huang et al. might be a method to
diminish the gap in accurate HCV RNA diagnosis (Clin Mol Hepatol. 2021 Jan;27(1):136-143.
doi: 10.3350/cmh.2020.0150.)
Please review this paper.
user
Title: Multi-disciplinary cooperation for the micro-elimination of hepatitis C in China: A
hospital-based experience
Version: 2 Date: 23 Aug 2023
Reviewer:  Po-Yao Hsu
Reviewer's report:
Zheng et al. established a multi-disciplinary collaboration model to strengthen the tracking,
referral, and treatment of HCV infection, and it could accelerate the elimination of HCV in
China. This study demonstrated an useful HCV micro-elimination strategy in a hospital setting.
I have some comments as follows:
1. I'm curious about the reasons why the rate of correct diagnosis of HCV was so low (67.45%)
during 2016-2021 even though 91.77% of clinicians in 2021 knew that HCV RNA was the basis
of diagnosis?
2. The key of HCV micro-elimination is to establish a screening strategy for people at high risk
of HCV infection. You may describe more about that, and present the proportion of each risk
group in patients with positive HCV RNA (e.g., hemodialysis, HIV, PWID....).
3. Even though the rate of receiving RNA confirmation increased a lot after implementation
of multi-disciplinary collaboration, there were still 11.3% of patient with anti-HCV(+) didn't
receive HCV RNA tests. A reflex testing model built by Huang et al. might be a method to
diminish the gap in accurate HCV RNA diagnosis (Clin Mol Hepatol. 2021 Jan;27(1):136-143.
doi: 10.3350/cmh.2020.0150.)
assistant