Evidence map›Paper›PMID 19574418›Full record

SynthesisJournal of the National Cancer Institute2009

Associations between hepatitis B virus mutations and the risk of hepatocellular carcinoma: a meta-analysis.

Shijian Liu, Hongwei Zhang, Chunying Gu, Jianhua Yin, Yongchao He, Jiaxin Xie, Guangwen Cao

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of the National Cancer Institute, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 201 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
201citing papers in PubMed, 11 pooled it
15.4field-weighted citation impact, top 1% of its field
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

201 citing papers in PubMed, 11 syntheses or guidelines pooled it, 396 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. [Guideline for stratified screening and surveillance of primary liver cancer(2020 Edition)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
    Guideline
  5. Pooled it
  6. Guideline
  7. Pooled it
  8. Pooled it
  9. Guideline
  10. Associations between pre-S deletion mutation of hepatitis B virus and risk of hepatocellular carcinoma in the Asian population: a meta-analysis.Medical science monitor : international medical journal of experimental and clinical research · 2015
    Pooled it
  11. Pooled it
  12. Trial
  13. Trial
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. [Key epidemiological data and recommended prevention and control measures for primary liver cancer].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
  20. Article

141 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Shijian LiuDepartment of Epidemiology, Second Military Medical University, 800 Xiang-yin Road, Shanghai, China.
Hongwei Zhang
Chunying Gu
Jianhua Yin
Yongchao He
Jiaxin Xie
Guangwen Cao
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between hepatitis B virus (HBV) mutations and hepatocarcinogenesis remains controversial because of conflicting data in the literature. We conducted a meta-analysis of case-control and cohort studies to examine HBV PreS, enhancer II (EnhII), basal core promoter (BCP), and precore mutations in relation to the risk of hepatocellular carcinoma (HCC).

methodsWe searched databases for studies of these associations that were published in English or Chinese up to August 31, 2008. HBV mutation-specific odds ratios and relative risks were pooled by use of a random-effects model and stratified by potential confounders. All statistical tests were two-sided.

resultsOf the 43 studies included in this meta-analysis, 40 used a case-control design. The 43 studies evaluated a total of 11 582 HBV-infected participants, of whom 2801 had HCC. Statistically significant summary odds ratios of HCC were obtained for any PreS mutation (3.77, 95% confidence interval [CI] = 2.57 to 5.52), C1653T in EnhII (2.76, 95% CI = 2.09 to 3.64), T1753V (2.35, 95% CI = 1.63 to 3.40), and A1762T/G1764A in BCP (3.79, 95% CI = 2.71 to 5.29). PreS mutations were more strongly associated with an increased risk of HCC in subjects who were infected with HBV genotype C than in those who were infected with HBV genotype B, whereas the opposite was true for A1762T/G1764A. C1653T, T1753V, and A1762T/G1764A were more strongly associated with an increased risk of HCC in hepatitis B e antigen (HBeAg)-positive subjects than in HBeAg-negative subjects. PreS mutations, C1653T, T1753V, and A1762T/G1764A accumulated during the progression of chronic HBV infection from the asymptomatic carrier state to HCC (P(trend) < .001 for each mutation). PreS mutations, C1653T, C1653T + T1753V, and A1762T/G1764A-based combinations of mutations had specificities greater than 80% for the prediction of HCC. The precore mutations G1896A and C1858T were not associated with the risk of HCC, regardless of HBeAg status and HBV genotype.

conclusionsHBV PreS mutations, C1653T, T1753V, and A1762T/G1764A are associated with an increased risk of HCC. These mutations alone and in combination may be predictive for hepatocarcinogenesis.

Indexed as

MutationCarcinoma, HepatocellularCase-Control StudiesCohort StudiesConfounding Factors, EpidemiologicDNA, ViralGenotypeHepatitis B, ChronicHepatitis B Surface AntigensHepatitis B virusHepatitis C, ChronicHumansLiver CirrhosisLiver NeoplasmsOdds RatioPredictive Value of TestsDNA, ViralHepatitis B Surface AntigenspreS (120-145) peptideProtein PrecursorsViral Envelope Proteins

Identifiers

PMID19574418
PMCPMC2720989
OpenAlexW1996865638

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.