Evidence map›Paper›PMID 40638020›Full record

ReviewInfectious diseases and therapy2025

Impact of Metabolic Dysfunction-Associated Fatty Liver Disease of Varying Severity on Antiviral Treatment Outcomes and Clinical Prognosis in Patients with Chronic Hepatitis B: A Systematic Review and Meta-analysis.

Qianqian Zhu, Chengde Su, Mingdan Li, Yali Xu, Qian Liu, Ying Zhang, Xinyi Zhang, Qiuxiang Li, Huajun Wang, Yawen Luo and 1 more

Abstract readReview
In one paragraph

Review in Infectious diseases and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Qianqian ZhuDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Chengde SuDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Mingdan LiDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Yali XuDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Qian LiuDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Ying ZhangDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Xinyi ZhangDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Qiuxiang LiDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Huajun WangSchool of Nursing, Zunyi Medical University, Zunyi, 563000, China.
Yawen LuoDepartment of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Ping YangDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China. yangping199607@sina.com.

Funding

Science and Technology Program of Guizhou Province Qiankehe Platform Talent-CXTD[2023]028Science and Technology Program of Guizhou Province Qiankehe Support [2021] General 049
6 · The paper itself

Abstract

introductionThe coexistence of hepatitis B virus (HBV) infection and metabolic dysfunction-associated fatty liver disease (MAFLD) is becoming increasingly common. The bidirectional interaction between persistent HBV infection and lipotoxicity may influence the progression of the disease. However, to date, there has been a lack of meta-analyses that stratify this dual-disease population based on the severity of MAFLD.

methodsThis study was conducted in accordance with the PRISMA guidelines. Relevant literature on chronic hepatitis B (CHB) coexisting with MAFLD, published in Chinese and English databases from inception to January 6, 2025, was systematically retrieved. A meta-analysis was performed to evaluate the impact of MAFLD of varying severity on the efficacy of antiviral therapy and clinical outcomes in patients with CHB.

resultsA total of 24 studies were included, among which seven investigated the impact of MAFLD severity on antiviral treatment efficacy, and 17 explored the influence of MAFLD on clinical outcomes in CHB. The meta-analysis revealed the following: HBeAg seroclearance rate: For the mild MAFLD group versus the CHB-only group, the odds ratio (OR) was 0.62; for the moderate-to-severe MAFLD group versus the CHB-only group, OR = 0.37, indicating a more pronounced negative impact of moderate-to-severe MAFLD on HBeAg seroconversion. HBsAg seroclearance rate: For the mild MAFLD group versus the CHB-only group, OR = 0.43; for the moderate-to-severe MAFLD group versus the CHB-only group, OR = 0.20, further supporting the greater adverse effect of more severe MAFLD on HBsAg seroclearance. Incidence of hepatocellular carcinoma (HCC): For the CHB combined with MAFLD group versus the CHB-only group, OR = 1.77, demonstrating a markedly increased risk of HCC development in the CHB combined with MAFLD group compared to the CHB-only group.

conclusionsThis study is the first to systematically examine the complex relationship between CHB and MAFLD from the perspective of hepatic steatosis severity stratification. CHB combined with moderate-to-severe MAFLD is associated with HBsAg/HBeAg seroclearance rate and the likelihood of achieving functional cure, suggesting that MAFLD may exert a potentially beneficial effect on antiviral therapy. However, MAFLD is also significantly associated with an increased risk of HCC, potentially accelerating hepatic carcinogenesis through lipotoxic pathways.

Indexed as

ChronicDegree of severityHepatitis BMeta-analysisMetabolic dysfunction-associated steatotic liver disease

Identifiers

PMID40638020
PMCPMC12339849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.