Tenofovir disoproxil fumarate is superior to Entecavir and Tenofovir alafenamide in Cost-Effectiveness of Treatment of Chronic Hepatitis B in China with New Volume-Based Purchasing Policy

DOI: https://doi.org/10.21203/rs.3.rs-2254145/v1

Abstract

Background/Aim:

Evidence indicates long-term nucleos(t)ide analogs (NAs) therapy can improve the prognosis of chronic hepatitis B (CHB). However, the optimized choice of first-line NAs in cost-effectiveness was still obscure. In 2019, China’s New Volume-Based Purchasing Policy (NVBPP) was implemented with a significant price reduction of entecavir (ETV), tenofovir disoproxil fumarate (TDF). This study evaluated the cost-effectiveness of ETV, TDF, and Tenofovir alafenamide (TAF) with or without NVBPP treatment of CHB in China from a social perspective.

Methods

A state-transition model was founded based on the paraments from published literature to compare treatment strategies involving non-NAs best support care (BSC), ETV, TDF with or without NVBPP, and TAF. A lifetime time cohort was simulated. Outcomes measured were predicted the number of liver-related deaths, costs, quality-adjusted-life-years (QALYs), and incremental cost-effectiveness ratios (ICERs).

Results

Compare to non-NAs BSC, the TAF generated an additional 2.38 QALYs/person at an additional cost of 17899.62USD with an ICER of 7520.85USD/QALY. Following, the TDF generated an additional 2.32 QALYs/person with an ICER of 6,301.84USD/QALY and ETV generated an additional 1.77 QALYs with an ICER of 11,397.28USD/QALY. With NVBPP, the ICER of TDF decreased to -66.38USD/QALY, and ETV decreased to -611.44USD/QALY compared to non-NAs BSC. With willingness-to-pay (WTP) thresholds of 30000USD/QALY, TDF with NVBPP had a 78.29% probability of being the optimal treatment strategy followed by ETV with NVBPP at 14.23% and TAF at 7.48% in the iterations.

Conclusion

In our analyses, the TDF with NVBPP would be the most cost-effect long-term therapy for CHB, followed by ETV with NVBPP and TAF. The ETV and TDF without NVBPP were cost-effectiveness-dominated.

Introduction

Chronic Hepatitis B (CHB) imposes a substantial health burden worldwide with a total population estimated to be nearly 2.92 billion [1]. In high prevalence areas, especially in China, the hepatitis B surface antigen (HBsAg) prevalence was around 6.89% (95% CI: 5.84–7.95%), which could be extrapolated to an estimated population of 84 million living with HBsAg in 2018[2]. On the ground of high HBsAg prevalence, the population of Cirrhosis and HCC in China account for 11% of global cirrhosis deaths [3] and over 50% of the global liver cancer burden [4].

The antiviral treatment is the efficient approach to reducing cirrhosis and HCC incidence in CHB patients which is recommended by guidelines [57]. And Entecavir (ETV), tenofovir disoproxil fumarate (TDF), and Tenofovir Alafenamide (TAF) were high resistance barrier nucleos(t)ide analogs (NAs) recommended by the American Association for the Study of Liver Diseases (AASLD), the World Health Organization (WHO), and Chinese Society of Hepatology (CSH) as first-line therapy [5, 79]. The available NAs are highly effective in suppressing HBV DNA replication. However, they do not eliminate covalently closed circular DNA (cccDNA) or viral DNA integrated into the host genome [10]. Importantly, HBV viremia typically recurs upon treatment cessation despite successful virus suppression during therapy [11]. Therefore, the widely accepted cessation criterion of therapy terms is still obscure.

Recent evidence showed both the long-term therapy of ETV and TDF can reduce the incidence of cirrhosis and HCC, and the mortality of CHB [1216]. Furthermore, some studies show that TDF might have a higher potential efficiency than ETV in the prevention of cirrhosis and HCC [1720]. However, on the other hand, the long-term utility of TDF may harm the bones and kidneys which require an extra cost of monitoring and might be increasing the total cost of whole-life therapy [5, 9]. Considering the Chinese average income level is still lower than the global average level [21], which NAs is an affordable and high cost-effective strategy for long-term therapy is needed to analyses.

Some studies already discussed the cost-effect of NAs choice in China [2224]. However, the TAF entered the Chinese market with less bone and renal toxicity and an additional 27% higher cost than TDF in 2018[25]. And from 2019, China’s New Volume-Based Purchasing Policy (NVBPP) was implemented in public hospitals in major cities and gradually spread to the whole country. The ETV and TDF in the NVBPP list dramatically decreased by around 90% in public hospitals compared to pharmacy retailers, while TAF was not included in the list[26]. In this new background, the cost-effectiveness of first-line NAs for the treatment of CHB is still known little. This study aims to model and analyze the cost-effectiveness of ETV, TDF, and TAF with or without NVBPP in CHB long-term therapy.

Methods

Type of Economic Evaluation

A cost-utility analysis was conducted from the China society perspective. The cost-effectiveness of the strategies was assessed using the predicted number of liver-related diseases and deaths, costs (denominated in US dollars 2020), quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs).

Strategies

Three NAs antiviral therapies recommended by the AASLD and CSH guidelines were included: ETV (0.5-mg tablet once daily), TDF (300-mg tablet once daily), and TAF (25-mg tablet once daily) [5, 7]. Non-NAs best supportive care (BSC) was defined as careful monitoring and other essential therapy without antiviral treatment. Generic drugs were assumed as the same quality and efficiency as brand-name drugs.

Cohort And Model Structure

A cost-effectiveness analysis was based on a Markov model simulating a hypothetical cohort of 1,000,000 cases of Chinese CHB patients aged 18 years fulfilling Chinese guidelines criteria for treatment of hepatitis B (Fig. 1). TreeAge Pro Suite 2019 software (TreeAge Software, Inc., Williamstown, MA, USA) was used. Patients were tracked as they moved between the following health states: CHB, compensated cirrhosis (CC), decompensated cirrhosis (DC), HCC, liver transplant (LT), post-liver transplant (PLT), and death. The life expectancy of Chinese people is 77 years [27], and thus, the lifetime horizons of this model were set at 59 years. The cycle length was 1 year. Details of the parameters used to derive transition probabilities between two states and related references are found in Table 1. Model input parameters were mainly derived from published studies. The cumulative probabilities or rates from published original studies were all converted to annual probabilities. The probabilities of liver transplant of DC and HCC were calculated based on the annual liver transplant cases and DC and HCC cases which were reported in the literature (Table 1).

Table 1

Model inputs

Parameter

Base-case

Range

Distribution

Source

Annual transition probabilities

       

CHB to CC

1.90%

1.0-2.8%

Beta

[3034]

CHB to HCC

0.59%

0.37%-0.8%

Beta

[30, 31, 35, 36]

CC to DC

5.40%

4.6–6.2%

Beta

[3234, 37]

CC to HCC

4.27%

1.94–6.6%

Beta

[32, 36, 38]

DC to HCC

6.50%

2.7–10.3%

Beta

[35, 3942]

Liver transplant of DC

0.05%*

NA

NA

[2, 4, 21, 43, 44]

Death of DC

9.55%

9.0-10.1%

Beta

[41, 42, 45]

Liver Transplant of HCC

0.20%*

NA

NA

[4, 44]

Death of HCC

29.03%

27.45–30.60%

Beta

[46]

Death of Liver Transplant

9.65%

6.3%-13%

Beta

[4749]

Death of Post-Liver Transplant

6.12%

3.98–8.25%

Beta

[50]

HR of ETV vs. non-NA without Cirrhosis

       

CHB to CC

0.51

0.22–1.19

lognormal

[12]

CHB to HCC

0.40

0.28–0.57

lognormal

[12]

HR of ETV vs. non-NA with Cirrhosis

       

CC to DC

0.51

0.34–0.78

lognormal

[12, 51]

Cirrhosis to HCC

0.55

0.31–0.99

lognormal

[12, 51]

Death or transplant of DC

0.26

0.13–0.55

lognormal

[12, 51]

HR of TDF vs. non-NA without Cirrhosis

       

CHB to CC

0.31

0.13–0.73

lognormal

[12, 52]

CHB to HCC

0.27

0.07–0.98

lognormal

[20, 53, 54]

HR of TDF vs. non-NA with Cirrhosis

       

CC to DC

0.28

0.11–0.76

lognormal

[52, 55]

Cirrhosis to HCC

0.46

0.29–0.75

lognormal

[20, 53, 55]

Death or transplant of DC

0.10

0.04–0.27

lognormal

[55]

HR of TAF vs. non-NA without Cirrhosis

       

CHB to CC

0.31**

0.13–0.73

lognormal

[12, 25, 56]

CHB to HCC

0.24

0.06–0.87

lognormal

[25, 53, 54]

HR of TAF vs. non-NA with Cirrhosis

       

CC to DC

0.28**

0.11–0.76

lognormal

[25, 56, 57]

Cirrhosis to HCC

0.41

0.26–0.67

lognormal

[53, 54]

Death or transplant of DC

0.10**

0.04–0.27

lognormal

[25, 56, 57]

Cost

       

Disease states(per year)

       

CHB

1177

589–1766

Gamma

[24]

CC

2000

1000–3000

Gamma

[24]

DC

3601

1801–5402

Gamma

[24]

HCC

12710

6355–19065

Gamma

[24]

Liver transplant

103548

85514–121582

Gamma

[58]

Post-Liver Transplant

23254

20886–25620

Gamma

[59]

ETV

1157

NA

NA

[23, 60]

ETV with NVBPP

11

NA

NA

[23, 26, 60]

TDF

792

NA

NA

[23, 60]

TDF with NVBPP

17

NA

NA

[23, 26, 60]

TAF

1002

NA

NA

[60]

Monitor For TDF use

108

NA

NA

[9, 28]

Monitor For TAF use

68

NA

NA

[9, 28]

Discount Rate

0.05

NA

NA

[29]

Utility scores

       

CHB (HUI3)

0.87

0.85–0.88

Beta

[61]

CC (HUI3)

0.81

0.75–0.86

Beta

[61]

DC (HUI3)

0.49

0.22–0.75

Beta

[61]

HCC (HUI3)

0.85

0.76–0.95

Beta

[61]

Post-liver transplant (HUI3)

0.72

0.60–0.83

Beta

[61]

CC compensated cirrhosis, CHB chronic hepatitis B, DC decompensated cirrhosis, HCC hepatocellular carcinoma, HUI3 Health Utility Index Mark 3, ETV entecavir, TDF tenofovir disoproxil fumarate, TAF Tenofovir alafenamide, NVBPP new volume-Based Purchasing Policy
*Probability was calculated base the liver-transplant cases and DC & HCC estimated numbers reported in paper in 2011, China.
** Assume TAF equivalent to TDF

Costs

This study calculated the direct costs of states within 1 year from the social perspective and literature report, indirect and intangible costs were not included. Direct costs included medical and non-medical costs. The direct medical costs of disease states included outpatient expenditures, inpatient expenditures, and expenditures on medicines self-purchased in retail pharmacies derived from published reports or Fujian Provincial Hospital. Furthermore, the direct medical costs of drugs without NVBPP used in the treatment strategies were calculated based on the current local market. The direct non-medical costs included the family’s travel expenses to get treatment and the patient’s extra health product expenses derived from published reports. The price of ETV(NVBPP), TDF(NVBPP), and the cost of monitoring TDF and TAF adverse drug reactions were evaluated based on the price in Fujian Provincial Hospital [28]. All costs were converted from Chinese Yuan (CNY) to US dollar (USD) at an average exchange rate of 6.35 in 2021. Both costs and quality-adjusted life-years (QALYs) were discounted at an annual rate of 5%, based on China Guidelines for Pharmacoeconomic Evaluations [29].

Utilities

The utilities of the health states were obtained from the literature (Table 1). Health Utility Index Mark 3 (HUI3) scores were the default values adopted in the models, with 1 representing perfect health and 0 representing death.

Sensitivity Analyses

One-way sensitivity analyses were conducted on the majority of parameters used by the model, and the ranges of most parameters analyzed were their range obtained from their sources (Table 1). In multiple strategies Markov model, net monetary benefit (NMB) was evaluated by 100,000 iterations of Monte Carlo simulation which were conducted in the probabilistic sensitivity analysis (PSA) to determine the overall impact of parameter uncertainty on the results.

Results

Base-case results

The Monte Carlo microsimulation was set up with a 1,000,000 size trial cohort using the parameters (Table 1). The QALYs, life years expectance (LYs), incremental costs, incremental QALYs, and ICERs of the included strategies are summarized in Table 2. For a lifetime therapy, compared to the non-NAs support therapy, the ETV, TDF, and TAF reduced 91,802, 112,360, and 123,231 deaths respectively (Supplement Table 1). All the other clinical outcomes are demonstrated in Supplementary Table 1. Without NVBPP, the strategy of non-NAs support therapy strategy had the lowest life years expectance and QALYs at 16.53 and 14.10 years respectively with the lowest cost at 28,649.94USD. In contrast, The TAF therapy strategy successfully achieved the highest life years expectance and QALYs at 19.14 and 16.50 years respectively with a cost of 46,352.06USD which is even lower than the cost of ETV therapy. Compare to the Non-NAs strategy, the ETV strategy increased 20,173.19USD cost with an increment of 1.77 QALYs and 1.97 LYs, and the calculated ICER was 11,397.28.11USD/QALY. Similarly, the TDF strategy increased a cost of 14,620.26USD with 2.32 QALYs and 2.49 LYs incremental respectively. And the ICER of the TDF strategy was 6,301.84USD/QALY which is lower than the ETV strategy. Although the TAF strategy increased the largest QALYs and LYs which are 2.38 and 2.57 years with a cost of 17,899.62USD, the ICER of the TAF strategy is 7,520.85USD/QALY at a moderate level. With the NVBPP, the cost of ETV and TDF was significantly decreased. On the ground of non-NAs support therapy, the lifetime cost of ETV and TDF strategy was even lower. The ETV(NVBPP) strategy had a 1,082.24 USD decremental and the TDF(NVBPP) strategy had a 154.00 USD decremental. Considering the same gained QALYs with ETV and TDF strategy, the ICER of ETV (NVBPP) and TDF (NVBPP) achieved − 611.44 and − 66.38 USD/QALY. WTP/QALY ratio was highlighted as 1 to 3 times gross domestic product per capita as recommended by the World Health Organization [62]. As the GDP per capita of China in 2020 was 10500.40USD [63], the WTP/QALYs ratios ranged from 10,000.00 to 30,000.00 USD/QALY was reasonable. Except for the ICER of the ETV being higher than the 10,000.00USD/QALY, all the other strategies’ ICER is lower than GDP per capita (Fig. 2).

Table 2

Base-case cost-effectiveness results

Strategy

Cost(USD)

ΔCost(USD)

QALYs

ΔQALYs

ICER(USD/QALY)

LYs

ΔLYs

Non-NAs BSC

28649.94

 

14.10

   

16.53

 

ETV

48625.63

20173.19

15.89

1.77

11397.28

18.54

1.97

ETV(NVBPP)

27370.20

-1082.24

15.89

1.77

-611.44

18.54

1.97

TDF

43072.70

14620.26

16.44

2.32

6301.84

19.06

2.49

TDF(NVBPP)

28298.44

-154.00

16.44

2.32

-66.38

19.06

2.49

TAF

46352.06

17899.62

16.50

2.38

7520.85

19.14

2.57

BSC best supportive care, ETV entecavir, TDF tenofovir disoproxil fumarate, TAF Tenofovir alafenamide, NVBPP New Volume-based purchasing policy, ICER incremental cost-effectiveness ratio, QALY quality-adjusted life-year, LY life year expectancy

Univariate Sensitivity Analysis

A series of univariate sensitivity were performed for all transition probabilities, costs, and utilities. As the multiple strategies model, the tornado graph is based on NMB with a WTP threshold of 30,000USD/QALY and the most influence 15 paraments were present (Fig. 3). The discount and age of starting therapy were the highest impacts on NMB for a lifetime therapy. With the discount rate increasing from 3–6%, the NMB decreased from 660237.87USD to 402993.81USD. On the other hand, the later therapy start, the less NMB the patient gains. Starting therapy at 18 years old will gain 464,803.91USD NMB and only 335,062.11USD NMB was gained when starting therapy at 60 years old. For TDF monotherapy, the HR of TDF vs. non-NAs from CHB to HCC and HR from CHB to CC were the most influence paraments. With the increment of HR of TDF vs. Non-NAs from CHB to HCC and from CHB to CC, the NMB decreased from 472,503.02 to 449,503.50USD and 472,181.54 to 449,655.03USD respectively (expect value 464803.92USD, the percentage NMB change only ranges from − 3.3–1.7%). All parameters excepting the discount and start therapy age had little impact on the robustness of the models.

Probabilistic Sensitivity Analysis

PSA with 100,000 Monte Carlo simulations was conducted to assess the impact of uncertain parameters varying simultaneously within defined distributions. The results are displayed in the cost-effectiveness plane (Figs. 4&5). In pairwise comparison, taking the non-NAs support care therapy as the baseline, over 98.6% of simulations will choose ETV, TDF, ETV(NVBPP), TDF(NVBPP), or TAF respectively as an optimal strategy with a WTP threshold of 30,000USD/QALY. Although the TAF strategy has the highest QALYs and LYs, only 12.34% and 40.16% of simulations will take the TAF strategy as the optimal strategy compare with TDF(NVBPP) and ETV(NVBPP). Without NVBPP, the percentage of TAF as optimal therapy in simulation compering to TDF or ETV will rise to 44.56% and 96.62%.

The cost-effectiveness of each strategy across a range of WTP thresholds is shown in Fig. 6. The TDF(NVBPP) had a 78.29% chance of being the optimal treatment strategy at a WTP threshold of 30,000USD/QALY, and the chances of ETV(NVBPP) and TAF being optimal were 14.23% and 7.48%. Little chance of Non-NAs BSC, ETV, and TDF being optimal. With the decremental WTP threshold, the chance of ETV(NVBPP) being the optimal strategy increased while TAF being optimal decreased. At the threshold of 20,000USD/QALY, ETV(NVBPP) and TAF were 17.34% and 2.69%, and TDF(NVBPP) was 79.87%. Further decreasing the WTP thresholds to 10000USD/QALY, the ETV(NVBPP) increased to 24.83%, and TAF will decrease to only 0.04%, while the TDF(NVBPP) is still predominating which up to 75.13%. Therefore, the TDF(NVBPP) has the highest chance of being the most cost-effective treatment for CHB infections.

Discussion

In this study, we evaluated the cost-effectiveness of the first-line NAs as a lifetime CHB therapy, especially including the ETV and TDF with NVBPP. Our analyses suggested that compare to non-NAs support therapy, all the NAs with or without NVBPP were cost-effective at a WTP threshold of 30,000USD/QALY. The TAF gained the highest QALYs with the second-highest cost which is lower than ETV and higher than TDF. Considering the improvement of renal and bone safety [25], the TAF would be a promising therapy compared to the ETV and TDF. Indeed, our probabilistic sensitivity analysis show in most simulation compare to ETV and nearly half of the simulation compared to TDF, that TAF could be the optimal therapy with a WTP threshold of 30,000USD/QALY.

Tian’s study about the cost-effectiveness of TAF compare to TDF and ETV in Canada, shows a 33.4% reduction in price would be required to make TAF cost-effective [61]. Based on Tian’s study, the price of a unit of ETV, TDF, and TAF were 5.50 Canada Dollars (4.32 USD), 4.89 Canada Dollars (3.84USD), and 19.55 Canada Dollars (15.3 USD) respectively. At the same time, in China, the price of ETV, TDF without NVBPP, and TAF were 3.16USD, 2.17USD, and 2.74USD which means a 26.9%, 43.5%, and 82.1% reduction compared to Tian’s study. This might explain the incremental cost-effectiveness of TAF in China.

However, in 2019, China’s New Volume-Based Purchasing Policy was implemented in Beijing, Shanghai, Tianjin, Chongqing (4 municipalities directly under the Central Government), and other 7 megacities (“4 + 7”). With the NVBPP, brand or generic drug manufacturers will gain the predominant supplier position in public hospitals with a low drug price. In the first turn of purchasing, the price of ETV and TDF was 92.7% and 96.2% reduction [26]. With more cities implementing the NVBPP and annually price refreshing, the price of a unit of ETV and TDF in our hospital were 0.03USD and 0.05USD in 2021 while TAF was still out of the list of NVBPP[28]. In this new background, the ETV(NVBPP) and TDF(NVBPP) dominated the ETV and TDF in our analyses. Even considering the TAF has the highest QALYs gain, our acceptable care analysis demonstrated that the TDF(NVBPP) will be the most people’s optimal strategy followed by ETV(NVBPP), and only a small part of people will choose the TAF.

Our analysis is based on the ground of assuming the generic drugs were the same potent and quality as brand name drugs. NVBPP was open to all generic and brand-name drug manufacturers. However, all the generic drugs on the list were required to pass the generic consistency evaluation (GCE) which was launched by the National Medical Products Administration (NMPA) in 2018[26]. In the GCE, the generic drugs should have comparable quality to brand-name drugs, especially in the bioequivalence trials [64]. It’s reasonable to assume the ETV and TDF provided by generic manufacturers have similar qualities to brand-name ones. However, due to the lack of long-term clinical trials in GCE, whether the generic ETV and TDF with NVBPP are equivalent to brand-name ones in the real world in a long-term therapy still needs to be observed in the future.

All the ETV, TDF, and TAF are highly effective in suppressing HBV DNA replication and improving the outcome of CHB, especially in preventing HCC occur [1215]. However, none of them can eliminate cccDNA [10]. Researches show HBV viremia typically recurs upon treatment cessation despite successful virus suppression during therapy [11]. Some studies indicate that long-term NAs therapy can reduce the mortality and HCC incidence in CHB patients [12, 15, 16, 6567]. Based on these, we assume a lift-time therapy in our model, to evaluate the cost-effectiveness on a whole life scale. As expected, the ETV, TDF, and TAF therapy has a higher cost compare to non-NAs support therapy with a cost-effect ICER. Interestedly, the whole life cost of ETV and TDF with NVBPP were even lower than the non-NAs BSC. Given that we assume the ETV and TDF with NVBPP have the same efficiency as ETV and TDF without NVBPP, and the ETV and TDF reduce the clinical outcome of CHB such as DC, HCC, and liver transplant. The lower cost may be a result of improvement in the outcome of CHB compare to non-NAs support therapy.

As a developing country, the Chinese per capita spending on health care was 4,702.8 CNY (737.9USD) in 2019[68]. In contrast, the US. per capita spending on health care reach 10,623USD in 2018[69]. On the other hand, 84 million Chinese are living with HBsAg [2] while 1.59 million Americans live with HBsAg [70]. Therefore, affordable long-term NAs for CHB patients in China is a critical issue. In our study, the ETV(NVBPP) and TDF(NVBPP) strategies have a lower cost than non-NAs BCS, and TDF(NVBPP) has the highest acceptability probability. It’s reasonable to expect the TDF(NVBPP), followed by ETV(NVBPP), would improve the outcome of CHB patients without increasing the health care burden. ETV and TDF with NVBPP could be the optimal strategies to alleviate the CHB burden.

Conclusion

In China, the TDF with NVBPP would be the most cost-effect long-term therapy for CHB, followed by ETV with NVBPP and TAF. The ETV and TDF without NVBPP were cost-effect-dominated.

Declarations

Ethics approval and consent to participateAll methods were carried out in accordance with relevant guidelines and regulations or declaration of Helsinki (not applicable, the data in this paper were from published articles and do not involve patients, so ethical approval and informed consent are not required).

Consent for publication: Not Applicable.

Availability of data and materials: All data generated or analysed during this study are included in this published article.

Index

Source

URL or Notice

2

BMC Infect Dis. 2019 Sep 18;19(1):811

DOI: 10.1186/s12879-019-4428-y

4

Hepatology, 2014. 60(6): p. 2099-108.

DOI: 10.1002/hep.27406

9

Hepatol Int, 2012. 6(3): p. 531-61.

DOI: 10.1007/s12072-012-9365-4

12

Liver Int, 2016. 36(12): p. 1755-1764.

DOI: 10.1111/liv.13253

20

JAMA Oncol, 2019. 5(1): p. 30-36.

DOI: 10.1001/jamaoncol.2018.4070

21

Lancet Gastroenterol Hepatol, 2020. 5(3): p. 245-266.

DOI: 10.1016/S2468-1253(19)30349-8

23

Hepatology, 2018. 68(4): p. 1476-1486.

DOI: 10.1002/hep.29922

24

Chin Med J (Engl), 2019. 132(19): p. 2315-2324.

DOI: 10.1097/CM9.0000000000000445

25

J Clin Transl Hepatol, 2021. 9(3): p. 324-334.

DOI: 10.14218/JCTH.2020.00145

26

BMJ Glob Health, 2021. 6(9):e005519.

DOI: 10.1136/bmjgh-2021-005519

28

Fujian Provincial Hospital. [Accessed December 22, 2021]

Public annoucement in local bulletin board

29

Value Health Reg Issues, 2021. 24: p. 1-5.

DOI: 10.1016/j.vhri.2020.07.580

30

Hepat Mon, 2016. 16(5): p. e34790.

DOI: 10.5812/hepatmon.34790

31

Eur J Gastroenterol Hepatol, 2015. 27(6): p. 638-43.

DOI: 10.1097/MEG.0000000000000341

32

Int J Hepatol, 2011. 2011: p. 918017.

DOI: 10.4061/2011/918017

33

J Gastroenterol Hepatol, 2003. 18(12): p. 1345-52.

DOI: 10.1046/j.1440-1746.2003.03187.x

34

Liver, 1989. 9(4): p. 235-41.

DOI: 10.1111/j.1600-0676.1989.tb00405.x

35

Cancer Med, 2019. 8(3): p. 1054-1065.

DOI: 10.1002/cam4.1998

36

J Gastroenterol Hepatol, 2005. 20(6): p. 833-43.

DOI: 10.1111/j.1440-1746.2005.03813.x

37

Aliment Pharmacol Ther, 2010. 32(11-12): p. 1343-50.

DOI: 10.1111/j.1365-2036.2010.04473.x

38

Gastroenterology, 2004. 127(5 Suppl 1): p. S35-50.

DOI: 10.1053/j.gastro.2004.09.014

39

Sci Rep, 2020. 10(1): p. 20922.

DOI: 10.1038/s41598-020-77515-y

40

J Hepatol, 2012. 57(2): p. 442-50.

DOI: 10.1016/j.jhep.2012.02.033

41

Gastroenterol Jpn, 1980. 15(4): p. 350-4.

DOI: 10.1007/BF02774306

42

J Clin Gastroenterol, 2002. 34(5): p. 569-72.

DOI: 10.1097/00004836-200205000-00018

43

J Clin Transl Hepatol, 2014. 2(1): p. 15-22.

DOI: 10.14218/JCTH.2013.00030

44

Chin J Cancer, 2015. 34(11): p. 508-13.

DOI: 10.1186/s40880-015-0056-0

45

JAMA Netw Open, 2019. 2(6): p. e196412.

DOI: 10.1001/jamanetworkopen.2019.6412

46

EXCLI J, 2020. 19: p. 108-130.

DOI: 10.17179/excli2019-1842

47

Transplantation, 2018. 102(12): p. 2025-2032.

DOI: 10.1097/TP.0000000000002246

48

PLoS One, 2016. 11(3): p. e0152324.

DOI: 10.1371/journal.pone.0152324

49

Hpb, 1999. 1(2): p. 85-89.

https://www.sciencedirect.com/science/article/pii/S1365182X17306251

50

World J Gastroenterol, 2019. 25(21): p. 2591-2602.

DOI: 10.3748/wjg.v25.i21.2591

51

Hepatology, 2013. 58(5): p. 1537-47.

DOI: 10.1002/hep.26301

52

J Viral Hepat, 2018. 25(12): p. 1565-1575.

DOI: 10.1111/jvh.12971

53

J Infect Dis, 2019. 219(1): p. 10-18.

DOI: 10.1093/infdis/jiy391

54

J Viral Hepat, 2021. 28(11): p. 1570-1578.

DOI: 10.1111/jvh.13601

55

Aliment Pharmacol Ther, 2019. 50(9): p. 1037-1048.

DOI: 10.1111/apt.15499

56

Intervirology, 2022;65(2):94-103.

DOI: 10.1159/000519440

57

J Gastroenterol, 2020. 55(11): p. 1023-1036.

DOI: 10.1007/s00535-020-01726-3

60

Online pharmacy retailer (old)

https://www.360kad.com/

60

Online pharmacy retailer (old)

http://www.zgyyjgw.com/front/cn/retailPrice

60

Online pharmacy retailer (new)

https://pages.tmall.com/wow/yao/act/ziyinghome?from=zebra:offline

60

Online pharmacy retailer (new)

https://mall.jd.com/index-1000015441.html

61

Pharmacoeconomics, 2020. 38(2): p. 181-192.

DOI: 10.1007/s40273-019-00852-y

Competing interests: The authors have no competing interests.

Founding: This study is supported by Fujian Provincial Natural Science Foundation, Grant No. 2020J05264 & Science and Technology Planning Project of Fujian Provincial Health Commission, Grant No. 2020GGA002 & Qihang Foundation of Fujian Medical University, Grant No. 2019QH1167.

Author’s contributions: Lin Y, Lin XY and Chen J designed the study, collected and analyzed the data, and wrote the manuscript, the authors have contributed equally to this work; Lin ZH and Lin Y contributions to conception, design, and coordination of the study and gave final approval of the version to be published.

Acknowledgements: This study was supported by the Fujian Provincial Natural Science Foundation (2020J05264), Science and Technology Planning Project of Fujian Provincial Health Commission (2020GGA002), and Qihang Foundation of Fujian Medical University (2019QH1167). The sponsor of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.

Authors' information:

1.Yi Lin, M.D., Ph.D. Department of Gastroenterology and Hepatology, Fujian Provincial Hospital; The Shengli Clinical Medical College, Fujian Medical University.

2.Zhihui Lin, Department of Gastroenterology and Hepatology, Fujian Provincial Hospital; The Shengli Clinical Medical College, Fujian Medical University.

3.Xueyan Lin, Department of Gastroenterology and Hepatology, Fujian Provincial Hospital; The Shengli Clinical Medical College, Fujian Medical University.

4.Juan Chen, Department of Gastroenterology and Hepatology, Fujian Provincial Hospital; The Shengli Clinical Medical College, Fujian Medical University.

References

  1. Howell, J., A. Pedrana, S.E. Schroeder, N. Scott, L. Aufegger, R. Atun, R. Baptista-Leite, G. Hirnschall, E. t Hoen, S.J. Hutchinson, J.V. Lazarus, L. Olufunmilayo, R. Peck, M. Sharma, A.H. Sohn, A. Thompson, M. Thursz, D. Wilson, and M. Hellard, A global investment framework for the elimination of hepatitis B. J Hepatol, 2021. 74(3): p. 535-549.
  2. Wang, H., P. Men, Y. Xiao, P. Gao, M. Lv, Q. Yuan, W. Chen, S. Bai, and J. Wu, Hepatitis B infection in the general population of China: a systematic review and meta-analysis. BMC Infect Dis, 2019. 19(1): p. 811.
  3. Li, M., Z.Q. Wang, L. Zhang, H. Zheng, D.W. Liu, and M.G. Zhou, Burden of Cirrhosis and Other Chronic Liver Diseases Caused by Specific Etiologies in China, 1990-2016: Findings from the Global Burden of Disease Study 2016. Biomed Environ Sci, 2020. 33(1): p. 1-10.
  4. Wang, F.S., J.G. Fan, Z. Zhang, B. Gao, and H.Y. Wang, The global burden of liver disease: the major impact of China. Hepatology, 2014. 60(6): p. 2099-108.
  5. Terrault, N.A., N.H. Bzowej, K.M. Chang, J.P. Hwang, M.M. Jonas, M.H. Murad, and D. American Association for the Study of Liver, AASLD guidelines for treatment of chronic hepatitis B. Hepatology, 2016. 63(1): p. 261-83.
  6. Omata, M., A.L. Cheng, N. Kokudo, M. Kudo, J.M. Lee, J. Jia, R. Tateishi, K.H. Han, Y.K. Chawla, S. Shiina, W. Jafri, D.A. Payawal, T. Ohki, S. Ogasawara, P.J. Chen, C.R.A. Lesmana, L.A. Lesmana, R.A. Gani, S. Obi, A.K. Dokmeci, and S.K. Sarin, Asia-Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update. Hepatol Int, 2017. 11(4): p. 317-370.
  7. Chinese Society of Infectious Diseases, C.M.A. and C.M.A. Chinese Society of Hepatology, [The guidelines of prevention and treatment for chronic hepatitis B (2019 version)]. Zhonghua Gan Zang Bing Za Zhi, 2019. 27(12): p. 938-961.
  8. WHO Guidelines Approved by the Guidelines Review Committee, in Guidelines for the Prevention, Care and Treatment of Persons with Chronic Hepatitis B Infection. 2015, World Health Organization: Geneva.
  9. Liaw, Y.F., J.H. Kao, T. Piratvisuth, H.L. Chan, R.N. Chien, C.J. Liu, E. Gane, S. Locarnini, S.G. Lim, K.H. Han, D. Amarapurkar, G. Cooksley, W. Jafri, R. Mohamed, J.L. Hou, W.L. Chuang, L.A. Lesmana, J.D. Sollano, D.J. Suh, and M. Omata, Asian-Pacific consensus statement on the management of chronic hepatitis B: a 2012 update. Hepatol Int, 2012. 6(3): p. 531-61.
  10. Summers, J. and W.S. Mason, Residual integrated viral DNA after hepadnavirus clearance by nucleoside analog therapy. Proc Natl Acad Sci U S A, 2004. 101(2): p. 638-40.
  11. Vigano, M., G. Mangia, and P. Lampertico, HBeAg-negative chronic hepatitis B: why do I treat my patients with nucleos(t)ide analogues? Liver Int, 2014. 34 Suppl 1: p. 120-6.
  12. Su, T.H., T.H. Hu, C.Y. Chen, Y.H. Huang, W.L. Chuang, C.C. Lin, C.C. Wang, W.W. Su, M.Y. Chen, C.Y. Peng, R.N. Chien, Y.W. Huang, H.Y. Wang, C.L. Lin, S.S. Yang, T.M. Chen, L.R. Mo, S.J. Hsu, K.C. Tseng, T.Y. Hsieh, F.M. Suk, C.T. Hu, M.J. Bair, C.C. Liang, Y.C. Lei, T.C. Tseng, C.L. Chen, J.H. Kao, C.T.s. group, and C. the Taiwan Liver Diseases, Four-year entecavir therapy reduces hepatocellular carcinoma, cirrhotic events and mortality in chronic hepatitis B patients. Liver Int, 2016. 36(12): p. 1755-1764.
  13. Wang, X., X. Liu, Z. Dang, L. Yu, Y. Jiang, X. Wang, and Z. Yan, Nucleos(t)ide Analogues for Reducing Hepatocellular Carcinoma in Chronic Hepatitis B Patients: A Systematic Review and Meta-Analysis. Gut Liver, 2020. 14(2): p. 232-247.
  14. Tseng, C.H., C.M. Tseng, J.L. Wu, Y.C. Hsu, and H.B. El-Serag, Magnitude of and prediction for risk of hepatocellular carcinoma in patients with chronic hepatitis B taking entecavir or tenofovir therapy: A systematic review. J Gastroenterol Hepatol, 2020. 35(10): p. 1684-1693.
  15. Hou, J.L., W. Zhao, C. Lee, H.W. Hann, C.Y. Peng, T. Tanwandee, V. Morozov, H. Klinker, J.D. Sollano, A. Streinu-Cercel, H. Cheinquer, Q. Xie, Y.M. Wang, L. Wei, J.D. Jia, G. Gong, K.H. Han, W. Cao, M. Cheng, X. Tang, D. Tan, H. Ren, Z. Duan, H. Tang, Z. Gao, S. Chen, S. Lin, J. Sheng, C. Chen, J. Shang, T. Han, Y. Ji, J. Niu, J. Sun, Y. Chen, E.L. Cooney, and S.G. Lim, Outcomes of Long-term Treatment of Chronic HBV Infection With Entecavir or Other Agents From a Randomized Trial in 24 Countries. Clin Gastroenterol Hepatol, 2020. 18(2): p. 457-467 e21.
  16. Papatheodoridis, G.V., V. Sypsa, G. Dalekos, C. Yurdaydin, F. van Boemmel, M. Buti, J. Goulis, J.L. Calleja, H. Chi, S. Manolakopoulos, A. Loglio, S. Siakavellas, N. Gatselis, O. Keskin, M. Lehretz, S. Savvidou, J. de la Revilla, B.E. Hansen, A. Kourikou, I. Vlachogiannakos, K. Galanis, R. Idilman, M. Colombo, R. Esteban, H.L.A. Janssen, T. Berg, and P. Lampertico, Eight-year survival in chronic hepatitis B patients under long-term entecavir or tenofovir therapy is similar to the general population. J Hepatol, 2018. 68(6): p. 1129-1136.
  17. Ha, Y., Y.E. Chon, M.N. Kim, J.H. Lee, and S.G. Hwang, Hepatocellular carcinoma and death and transplantation in chronic hepatitis B treated with entecavir or tenofovir disoproxil fumarate. Sci Rep, 2020. 10(1): p. 13537.
  18. Choi, W.M., J. Choi, and Y.S. Lim, Effects of Tenofovir vs Entecavir on Risk of Hepatocellular Carcinoma in Patients With Chronic HBV Infection: A Systematic Review and Meta-analysis. Clin Gastroenterol Hepatol, 2021. 19(2): p. 246-258 e9.
  19. Li, M., T. Lv, S. Wu, W. Wei, X. Wu, X. Ou, H. Ma, S.C. Chow, Y. Kong, H. You, and J. Jia, Tenofovir versus entecavir in lowering the risk of hepatocellular carcinoma development in patients with chronic hepatitis B: a critical systematic review and meta-analysis. Hepatol Int, 2020. 14(1): p. 105-114.
  20. Choi, J., H.J. Kim, J. Lee, S. Cho, M.J. Ko, and Y.S. Lim, Risk of Hepatocellular Carcinoma in Patients Treated With Entecavir vs Tenofovir for Chronic Hepatitis B: A Korean Nationwide Cohort Study. JAMA Oncol, 2019. 5(1): p. 30-36.
  21. Collaborators, G.B.D.C., The global, regional, and national burden of cirrhosis by cause in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol Hepatol, 2020. 5(3): p. 245-266.
  22. Zhang, S.X., P.C. Yang, Y.L. Cai, Y. Lin, and Y.H. Zou, [Cost-effectiveness of community-based treatment of chronic hepatitis B in China]. Zhonghua Liu Xing Bing Xue Za Zhi, 2017. 38(7): p. 860-867.
  23. Xie, L., J. Yin, R. Xia, and G. Zhuang, Cost-effectiveness of antiviral treatment after resection in hepatitis B virus-related hepatocellular carcinoma patients with compensated cirrhosis. Hepatology, 2018. 68(4): p. 1476-1486.
  24. Yin, X.R., Z.H. Liu, J. Liu, Y.Y. Liu, L. Xie, L.B. Tao, J.D. Jia, F.Q. Cui, G.H. Zhuang, and J.L. Hou, First line nucleos(t)ide analog monotherapy is more cost-effective than combination strategies in hepatitis B e antigen-positive chronic hepatitis B patients in China. Chin Med J (Engl), 2019. 132(19): p. 2315-2324.
  25. Hou, J., Q. Ning, Z. Duan, Y. Chen, Q. Xie, F.S. Wang, L. Zhang, S. Wu, H. Tang, J. Li, F. Lin, Y. Yang, G. Gong, J.F. Flaherty, A. Gaggar, S. Mo, C. Cheng, G. Camus, C. Chen, Y. Huang, J. Jia, M. Zhang, U.S. Gs, and G.-U.-C. Investigators, 3-year Treatment of Tenofovir Alafenamide vs. Tenofovir Disoproxil Fumarate for Chronic HBV Infection in China. J Clin Transl Hepatol, 2021. 9(3): p. 324-334.
  26. Yuan, J., Z.K. Lu, X. Xiong, and B. Jiang, Lowering drug prices and enhancing pharmaceutical affordability: an analysis of the national volume-based procurement (NVBP) effect in China. BMJ Glob Health, 2021. 6(9).
  27. The Central People's Government of the People's Republic of China. Available from http://www.gov.cn/xinwen/2020-10/14/content_5551288.htm [Accessed December 22, 2021].
  28. The Prices of Drugs, Examination, and Test in Fujian Provincial Hospital. [Accessed December 22, 2021].
  29. Yue, X., Y. Li, J. Wu, and J.J. Guo, Current Development and Practice of Pharmacoeconomic Evaluation Guidelines for Universal Health Coverage in China. Value Health Reg Issues, 2021. 24: p. 1-5.
  30. Alavian, S.M., M.H. Imanieh, and M.H. Imanieh, Predictive Factors in the Incidence of Cirrhosis in Chronic Hepatitis B Virus Infections. Hepat Mon, 2016. 16(5): p. e34790.
  31. Poh, Z., B.B. Goh, P.E. Chang, and C.K. Tan, Rates of cirrhosis and hepatocellular carcinoma in chronic hepatitis B and the role of surveillance: a 10-year follow-up of 673 patients. Eur J Gastroenterol Hepatol, 2015. 27(6): p. 638-43.
  32. Guan, R. and H.F. Lui, Treatment of hepatitis B in decompensated liver cirrhosis. Int J Hepatol, 2011. 2011: p. 918017.
  33. Xu, B., D.C. Hu, D.M. Rosenberg, Q.W. Jiang, X.M. Lin, J.L. Lu, and N.J. Robinson, Chronic hepatitis B: a long-term retrospective cohort study of disease progression in Shanghai, China. J Gastroenterol Hepatol, 2003. 18(12): p. 1345-52.
  34. Liaw, Y.F., D.Y. Lin, T.J. Chen, and C.M. Chu, Natural course after the development of cirrhosis in patients with chronic type B hepatitis: a prospective study. Liver, 1989. 9(4): p. 235-41.
  35. Tarao, K., A. Nozaki, T. Ikeda, A. Sato, H. Komatsu, T. Komatsu, M. Taguri, and K. Tanaka, Real impact of liver cirrhosis on the development of hepatocellular carcinoma in various liver diseases-meta-analytic assessment. Cancer Med, 2019. 8(3): p. 1054-1065.
  36. Lin, X., N.J. Robinson, M. Thursz, D.M. Rosenberg, A. Weild, J.M. Pimenta, and A.J. Hall, Chronic hepatitis B virus infection in the Asia-Pacific region and Africa: review of disease progression. J Gastroenterol Hepatol, 2005. 20(6): p. 833-43.
  37. Fleming, K.M., G.P. Aithal, T.R. Card, and J. West, The rate of decompensation and clinical progression of disease in people with cirrhosis: a cohort study. Aliment Pharmacol Ther, 2010. 32(11-12): p. 1343-50.
  38. Fattovich, G., T. Stroffolini, I. Zagni, and F. Donato, Hepatocellular carcinoma in cirrhosis: incidence and risk factors. Gastroenterology, 2004. 127(5 Suppl 1): p. S35-50.
  39. Yang, M., N.D. Parikh, H. Liu, E. Wu, H. Rao, B. Feng, A. Lin, L. Wei, and A.S. Lok, Incidence and risk factors of hepatocellular carcinoma in patients with hepatitis C in China and the United States. Sci Rep, 2020. 10(1): p. 20922.
  40. Peng, C.Y., R.N. Chien, and Y.F. Liaw, Hepatitis B virus-related decompensated liver cirrhosis: benefits of antiviral therapy. J Hepatol, 2012. 57(2): p. 442-50.
  41. Okazaki, I., K. Maruyama, K. Funatsu, K. Kashiwazaki, and M. Tsuchiya, Ten year survival rate of 131 patients with liver cirrhosis excluded the association of liver carcinoma at the establishment of diagnosis. Gastroenterol Jpn, 1980. 15(4): p. 350-4.
  42. Hui, A.Y., H.L. Chan, N.W. Leung, L.C. Hung, F.K. Chan, and J.J. Sung, Survival and prognostic indicators in patients with hepatitis B virus-related cirrhosis after onset of hepatic decompensation. J Clin Gastroenterol, 2002. 34(5): p. 569-72.
  43. Yan, Y.P., H.X. Su, Z.H. Ji, Z.J. Shao, and Z.S. Pu, Epidemiology of Hepatitis B Virus Infection in China: Current Status and Challenges. J Clin Transl Hepatol, 2014. 2(1): p. 15-22.
  44. Zuo, T.T., R.S. Zheng, S.W. Zhang, H.M. Zeng, and W.Q. Chen, Incidence and mortality of liver cancer in China in 2011. Chin J Cancer, 2015. 34(11): p. 508-13.
  45. Orman, E.S., A. Roberts, M. Ghabril, L. Nephew, A.P. Desai, K. Patidar, and N. Chalasani, Trends in Characteristics, Mortality, and Other Outcomes of Patients With Newly Diagnosed Cirrhosis. JAMA Netw Open, 2019. 2(6): p. e196412.
  46. Hassanipour, S., M. Vali, S. Gaffari-Fam, H.A. Nikbakht, E. Abdzadeh, F. Joukar, A. Pourshams, A. Shafaghi, M. Malakoutikhah, M. Arab-Zozani, H. Salehiniya, and F. Mansour-Ghanaei, The survival rate of hepatocellular carcinoma in Asian countries: a systematic review and meta-analysis. EXCLI J, 2020. 19: p. 108-130.
  47. Gil, E., J.M. Kim, K. Jeon, H. Park, D. Kang, J. Cho, G.Y. Suh, and J. Park, Recipient Age and Mortality After Liver Transplantation: A Population-based Cohort Study. Transplantation, 2018. 102(12): p. 2025-2032.
  48. Chen, H.P., Y.F. Tsai, J.R. Lin, F.C. Liu, and H.P. Yu, Recipient Age and Mortality Risk after Liver Transplantation: A Population-Based Cohort Study. PLoS One, 2016. 11(3): p. e0152324.
  49. Fan, S.T., C.M. Lo, C.L. Liu, B.H. Yong, and C.L. Lai, Causes of hospital death in patients undergoing liver transplantation. Hpb, 1999. 1(2): p. 85-89.
  50. Santopaolo, F., I. Lenci, M. Milana, T.M. Manzia, and L. Baiocchi, Liver transplantation for hepatocellular carcinoma: Where do we stand? World J Gastroenterol, 2019. 25(21): p. 2591-2602.
  51. Wong, G.L., H.L. Chan, C.W. Mak, S.K. Lee, Z.M. Ip, A.T. Lam, H.W. Iu, J.M. Leung, J.W. Lai, A.O. Lo, H.Y. Chan, and V.W. Wong, Entecavir treatment reduces hepatic events and deaths in chronic hepatitis B patients with liver cirrhosis. Hepatology, 2013. 58(5): p. 1537-47.
  52. Kim, B.G., N.H. Park, S.B. Lee, H. Lee, B.U. Lee, J.H. Park, S.W. Jung, I.D. Jeong, S.J. Bang, and J.W. Shin, Mortality, liver transplantation and hepatic complications in patients with treatment-naive chronic hepatitis B treated with entecavir vs tenofovir. J Viral Hepat, 2018. 25(12): p. 1565-1575.
  53. Nguyen, M.H., H.I. Yang, A. Le, L. Henry, N. Nguyen, M.H. Lee, J. Zhang, C. Wong, C. Wong, and H. Trinh, Reduced Incidence of Hepatocellular Carcinoma in Cirrhotic and Noncirrhotic Patients With Chronic Hepatitis B Treated With Tenofovir-A Propensity Score-Matched Study. J Infect Dis, 2019. 219(1): p. 10-18.
  54. Lee, H.W., Y.Y. Cho, H. Lee, J.S. Lee, S.U. Kim, J.Y. Park, D.Y. Kim, S.H. Ahn, B.K. Kim, and S.Y. Park, Effect of tenofovir alafenamide vs. tenofovir disoproxil fumarate on hepatocellular carcinoma risk in chronic hepatitis B. J Viral Hepat, 2021. 28(11): p. 1570-1578.
  55. Liu, K., J. Choi, A. Le, T.C. Yip, V.W. Wong, S.L. Chan, H.L. Chan, M.H. Nguyen, Y.S. Lim, and G.L. Wong, Tenofovir disoproxil fumarate reduces hepatocellular carcinoma, decompensation and death in chronic hepatitis B patients with cirrhosis. Aliment Pharmacol Ther, 2019. 50(9): p. 1037-1048.
  56. Jeong, S., H.P. Shin, and H.I. Kim, Real-World Single-Center Comparison of the Safety and Efficacy of Entecavir, Tenofovir Disoproxil Fumarate, and Tenofovir Alafenamide in Patients with Chronic Hepatitis B. Intervirology, 2021: p. 1-10.
  57. Yip, T.C., J.C. Lai, and G.L. Wong, Secondary prevention for hepatocellular carcinoma in patients with chronic hepatitis B: are all the nucleos(t)ide analogues the same? J Gastroenterol, 2020. 55(11): p. 1023-1036.
  58. van der Hilst, C.S., A.J. Ijtsma, M.J. Slooff, and E.M. Tenvergert, Cost of liver transplantation: a systematic review and meta-analysis comparing the United States with other OECD countries. Med Care Res Rev, 2009. 66(1): p. 3-22.
  59. Wang, X.T.H., Zhang Jinpin, Huang Lili, Pharmacoeconomic comparison of cyclosporine A and FK506 in liver transplant recipients (in Chinese). Chin Hosp Pharm J., 2006. 26(3): p. 324-325.
  60. The Prices of Chinese Medicine. Available from: http://www.zgyyjgw.com/front/cn/retailPrice.; https://www.360kad.com/ [Accessed December 22, 2021].
  61. Tian, F., S.K.D. Houle, M.W. Alsabbagh, and W.W.L. Wong, Cost-Effectiveness of Tenofovir Alafenamide for Treatment of Chronic Hepatitis B in Canada. Pharmacoeconomics, 2020. 38(2): p. 181-192.
  62. Zhao, F.L., M. Yue, H. Yang, T. Wang, J.H. Wu, and S.C. Li, Willingness to pay per quality-adjusted life year: is one threshold enough for decision-making? results from a study in patients with chronic prostatitis. Med Care, 2011. 49(3): p. 267-72.
  63. World Bank Date Base Available from: https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=CN [Accessed December 22, 2021].
  64. (NDA) TCNDA. Opinions on the evaluation of the consistency of quality and efficacy of drugs, 2016. Available: http://www.gov.cn/zhengce/content/2016-03/05/content_5049364.htm [Accessed 20 Dec 2021].
  65. Chang, T.S., Y.H. Yang, W.M. Chen, C.H. Shen, S.Y. Tung, C.W. Yen, Y.Y. Hsieh, C.P. Lee, M.L. Tsai, C.H. Hung, and S.N. Lu, Long-term risk of primary liver cancers in entecavir versus tenofovir treatment for chronic hepatitis B. Sci Rep, 2021. 11(1): p. 1365.
  66. Kim, S.U., Y.E. Chon, Y.S. Seo, H.W. Lee, H.A. Lee, M.N. Kim, I.K. Min, J.Y. Park, D.Y. Kim, S.H. Ahn, W.Y. Tak, B.K. Kim, and S.Y. Park, A multi-centre study of trends in hepatitis B virus-related hepatocellular carcinoma risk over time during long-term entecavir therapy. J Viral Hepat, 2020. 27(12): p. 1352-1358.
  67. Lee, H.W., [Long Term Efficacy of Antiviral Therapy: Mortality and Incidence of Hepatocellular Carcinoma]. Korean J Gastroenterol, 2019. 74(5): p. 251-257.
  68. China Health Statistics Yearbook 2020 Available from https://data.cnki.net/area/Yearbook/Single/N2021020144?z=D09.
  69. World Bank Date Base Available from: https://data.worldbank.org/indicator/SH.XPD.CHEX.PC.CD?locations=US [Accessed December 22, 2021].
  70. Lim, J.K., M.H. Nguyen, W.R. Kim, R. Gish, P. Perumalswami, and I.M. Jacobson, Prevalence of Chronic Hepatitis B Virus Infection in the United States. Am J Gastroenterol, 2020. 115(9): p. 1429-1438.