| Literature DB >> 33455067 |
Aixin Song1, Xiaoxiao Wang1, Junfeng Lu1, Yi Jin1, Lina Ma1, Zhongjie Hu1, Yanhong Zheng1, Chengli Shen2, Xinyue Chen1.
Abstract
Hepatitis B surface antigen (HBsAg) seroclearance is regarded as the ideal endpoint for antiviral treatment. However, reports on the durability of and outcomes after HBsAg seroclearance are few, which has become a focus in clinical practice. This meta-analysis was performed to evaluate the durability and hepatocellular carcinoma (HCC) incidence after HBsAg seroclearance after treatment cessation. We searched PubMed, Embase, Medline and Web of Science for studies that reported the durability and HCC incidence after HBsAg seroclearance published between 1 January 2000 and 31 January 2020. Data were analysed by a random-effects model. Thirty-eight studies and 43,924 patients were finally included. The results showed that HBsAg seroclearance was durable, with a pooled recurrence rate of 6.19% (95% CI: 4.10%-8.68%). There was no significant difference in recurrence rates after different seroclearance methods or among recurrence types and different regions. Anti-HBs seroconversion resulted in a significantly reduced recurrence rate (RR = 0.25, p < .001). Patients who experienced HBsAg seroclearance had significantly lower HCC incidence than HBsAg-positive (RR = 0.41, p < .001). The pooled HCC incidence after HBsAg seroclearance was 1.88%; this rate was reduced to 0.76% among patients without baseline cirrhosis. In conclusion, the analysis during an average follow-up of 4.74 years suggested that in patients who experienced sustained HBsAg seroclearance and anti-HBs seroconversion, this was associated with low HCC incidence. Patients without baseline cirrhosis benefited even more. We emphasize the importance of gaining HBsAg seroclearance while highlighting the benefits of achieving this as early as possible.Entities:
Keywords: HBV; HBsAg; HCC; meta-analysis; recurrence rate
Year: 2021 PMID: 33455067 PMCID: PMC7986681 DOI: 10.1111/jvh.13471
Source DB: PubMed Journal: J Viral Hepat ISSN: 1352-0504 Impact factor: 3.728
FIGURE 1Study selection process
Characteristics of studies
| Study | Year | Region | Design | Total number | HBsAg seroclearance number | HBsAg seroreversions number | Male (%) | Age (mean or median) | Follow‐up years after HBsAg seroclearance (mean or median) | Liver cirrhosis | HCC incidences | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | Post‐NUC/IFN | Total | HBsAg(+) | DNA(+) | ||||||||||
| Wu | 2019 | China | Retrospective | 1276 | 238 | 238 | 16 | 8 | 2 | 63.9 | 36 ± 11 | 3.08 (1.3–4.7) | 0 | 0/238 |
| Suárez | 2019 | Spain | Retrospective | 69 | 69 | 69 | 1/64 | 0 | 1 | 91.3 | 51.7 ± 11.9 | 3.15 (2.0–4.6) | 10 | 1/69 |
| Alawad | 2019 | USA | Retrospective | 787 | 65 | 46 | 3 | 2 | 0 | 80 | 49 ± 14 | 9.58 (1.1–29.4) | 7 | 0/65 |
| Li | 2019 | China | Prospective | 172 | 172 | 172 | 23 | 19 | 1 | 78.41 | 42.60 ± 10 | 1 | 14 | 1/172 |
| Yip | 2018 | Hongkong, China | Retrospective | 4080 | 2211 | 365 | 89 | 89 | 0 | 63.1 | 56.8 ± 14 | 1.95 (0.8–3.5) | NA | 24/2122 |
| Stelma | 2017 | The Netherlands | Prospective | 92 | 16 | 16 | 0 | 0 | 0 | 73.9 | 39.5 (19–69) | 5 | 14 | 1/92 |
| Chi | 2017 | The Netherlands, Canada, China | Retrospective | 5872 | 54 | 54 | 6 | 1 | 5 | 87 | 48 ± 12 | 1.6 (0.5–2.7) | 8 | 0/54 |
| Wong | 2017 | Asian | Retrospective | 1072 | 49 | 49 | 6 | 6 | 0 | 64.6 | NA | 2.27 | 88 | 44/1072 |
| Seto | 2016 | Hongkong, China | Retrospective | 51 | 51 | 51 | 2 | 1 | 0 | 82.4 | 48.7 (39.3–58.6) | 4.3 (2.0–6.9) | 5 | NA |
| Li | 2016 | China | Retrospective | 28 | 28 | 28 | 0 | 0 | 0 | 92.9 | 47.1 (27–67) | 2.3 (0.8–7.5) | NA | NA |
| Lauret | 2015 | Spain | Prospective | 612 | 78 | 22 | 2 | 2 | 0 | 71.79 | 49.5 (16–74) | 5.13 (0.7–17.1) | 12 | 1/78 |
| Kim, Lim | 2014 | Korea | Retrospective | 5409 | 110 | 110 | 7 | 1 | 6 | 76.36 | 42 ± 10 | 2.1 (287 patient‐years) | 34 | 1/110 |
| Chu | 2012 | Taiwan, China | Retrospective | 118 | 118 | 0 | 21 | 0 | 21 | 85 | 51.1 ± 9.4 | 10 | 10 | NA |
| Yuen | 2008 | Hongkong, China | Retrospective | 298 | 298 | 13 | 6/99 | 0 | 6 | 70.81 | 49.6 (4.1–84.7) | 3.03 (0.5–18.5) | NA | 7/298 |
| Arase | 2006 | Japan | Retrospective | 231 | 231 | 75 | 4 | 0 | 4 | 80.52 | 51 (23–66) | 6.5 (1–23.6) | 67 | 2/231 |
| Yip | 2019 | Hongkong, China | Retrospective | 17,499 | 376 | 376 | NA | NA | NA | 74.2 | 47.8 ± 14.2 | 5.9 (3.8–7.7) | 23 | 2/376 |
| Song | 2018 | China | Prospective | 3635 | 652 | 0 | NA | NA | NA | NA | NA | 9 | NA | 8/652 |
| Yip | 2017 | Hongkong, China | Retrospective | 4568 | 4568 | 853 | NA | NA | NA | 62.9 | 56.7 ± 13.8 | 3.4 (1.5–5.0) | 839 | 54/4568 |
| Chen | 2016 | Taiwan, China | Retrospective | 422 | 422 | 110 | NA | NA | NA | 76.3 | 50.4 ± 11.2 | 8.93 ± 5.62 | 44 | 5/422 |
| Gounder | 2016 | Alaska | Retrospective | 1346 | 238 | 0 | NA | NA | NA | 64 | 28.8 (15.9–42.2) | 11.7 (6.5–18.3) | NA | 3/226 |
| Park | 2016 | Korea | Retrospective | 1919 | 90 | 0 | NA | NA | NA | 65.56 | NA | NA | 24 | 4/83 |
| Tseng | 2015 | Taiwan, China | Retrospective | 2121 | 338 | 0 | NA | NA | NA | 71.6 | 28‐75 | 3 | 0 | 5/338 |
| Ferreira | 2014 | Brazil | Retrospective | 548 | 40 | 0 | NA | NA | NA | 55 | 37.7 ± 13.3 | 15.8 | 0 | 0/40 |
| Cho | 2014 | Korea | Retrospective | 2392 | 166 | 17 | NA | NA | NA | 63.3 | 49.3 ± 0.6 | 3.53 | NA | 10/166 |
| Kim, Lee | 2014 | Korea | Retrospective | 829 | 829 | 105 | NA | NA | NA | 69.36 | 52.3 ± 9.3 | 3.2 (1.8–6.1) | 98 | 19/829 |
| Orito | 2014 | Japan | Retrospective | 602 | 13 | 13 | NA | NA | NA | 63.3 | 52 (21–79) | 7.5 | 0 | 0/13 |
| Liu | 2014 | Taiwan, China | Prospective | 2946 | 529 | 0 | NA | NA | NA | 75.43 | 30–60 | 48,149.1 p/y | 0 | 8/529 |
| Tseng | 2012 | Taiwan, China | Prospective | 668 | 130 | NA | NA | NA | NA | 54.5 | ≥28 | 9.4 ± 5.7 | 1 | 1/130 |
| Idilman | 2012 | Turkey | Retrospective | 183 | 10 | 10 | NA | NA | NA | 66.6 | 45.5 ± 11 | 2.87 ± 1.87 | 0 | 0/10 |
| Kim Ji Hoon | 2011 | Korea | Retrospective | 96 | 96 | 5 | NA | NA | NA | 80.21 | 46.4 ± 9.9 | 4.7 (0.6–19.8) | 24 | 6/96 |
| Fwu | 2009 | Taiwan, China | Retrospective | 1,782,401 | 31,088 | NA | NA | NA | NA | 0 | 28.72 ± 4.23 | 8.07 | 0 | 8/31,088 |
| Moucari | 2009 | France | Retrospective | 97 | 28 | 28 | NA | NA | NA | 82.14 | 43 (23–73) | 14 | 10 | 0/28 |
| Kim Jeong | 2008 | Korea | Retrospective | 215 | 11 | 0 | NA | NA | NA | 54.55 | 52 (40–67) | 2.5 | 0 | 0/11 |
| Nam | 2007 | Korea | Retrospective | 4061 | 47 | 0 | NA | NA | NA | 64.98 | 46.2 ± 15.7 | 7.3 | 7 | 9/47 |
| Ahn | 2005 | Korea | Retrospective | 49 | 49 | 0 | NA | NA | NA | 73.47 | 50 (27–72) | 1.6 (0.4–3.2) | 17 | 5/49 |
| Yuen | 2004 | Hongkong, China | Retrospective | 184 | 92 | 6 | NA | NA | NA | 70.65 | 48.8 ± 13.81 | 4.3 | NA | 5/92 |
| Chen | 2002 | Taiwan, China | Retrospective | 218 | 218 | 0 | NA | NA | NA | 78.9 | 44.8 ± 11.1 | 5.1 (1–14.9) | 29 | 3/218 |
| McMahon | 2001 | USA | Retrospective | 1536 | 106 | NA | NA | NA | NA | 59.1 | NA | 12.3 | NA | 2/106 |
Abbreviation: NA, Not available.
Data from the whole cohort.
FIGURE 2Meta‐analysis of overall pooled recurrence rate in CHB patients after HBsAg seroclearance
FIGURE 3Meta‐analysis of recurrence rate after HBsAg seroclearance among anti‐HBs‐positive or anti‐HBs‐negative patients
FIGURE 4Meta‐analysis of HCC incidence among CHB patients with HBsAg seroclearance male or HBsAg‐positive
FIGURE 5Meta‐analysis of overall pooled HCC incidence in CHB patients after HBsAg seroclearance