ArticleHepatology international2014
Comparison of hepatitis B surface antigen and e antigen in predicting liver histology in hepatitis B e antigen-positive chronic hepatitis B patients.
Article in Hepatology international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- [Analysis of liver pathological characteristics and exploration of noninvasive markers of liver fibrosis in children with chronic hepatitis B].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021Article
- Role of quantitative hepatitis B surface antigen levels in predicting liver biopsy time in treatment-naive chronic hepatitis B patients.Clinical and experimental hepatology · 2020Article
- A Noninvasive Score to Predict Liver Fibrosis in HBeAg-Positive Hepatitis B Patients with Normal or Minimally Elevated Alanine Aminotransferase Levels.Disease markers · 2018Article
- Development and validation of a model for staging hepatic fibrosis for chronic hepatitis B patients with E antigen-positive.Oncotarget · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimThe purpose of this study was to determine the relationship between hepatitis B e antigen (HBeAg) and hepatitis B surface antigen (HBsAg) levels and liver histology in HBeAg-positive patients with chronic hepatitis B virus (CHB) infection.
methodsSerum HBsAg and HBeAg levels were analyzed, and liver biopsies were obtained from 203 HBeAg-positive CHB patients (62.6 % males; median age 31.3 years). The upper limit of normal (ULN) for ALT in this study was 30 and 19 U/L for males and females, respectively. Histologic assessment was based on Scheuer classification.
resultsALT <2 × ULN, fibrosis stage <S2, and necro-inflammation grade <G2 were noted in 70 (34.5 %), 141 (69.5 %), and 105 (51.7 %) patients, respectively. Patients with significant histology (fibrosis stage ≥S2 and/or fibrosis stage of 1 plus inflammation grade ≥2) had significantly lower median HBsAg (13,998.4 and 42,186.5 IU/mL, respectively, p < 0.001) and HBeAg levels (540.5 and 1,206.8 S/CO, respectively, p < 0.001) than patients with insignificant histology. Among patients with ALT <2 × ULN, the area under the ROC curve for serum HBsAg and HBeAg levels was 0.76 and 0.70, respectively. Using a cutoff value of 17,558 IU/mL for HBsAg and 875.6 S/CO for HBeAg in patients with ALT <2×ULN, positive predictive values for insignificant histology were 87 and 86.8 %, respectively, whereas the negative predictive values were 50 and 47.1 %, respectively.
conclusionsAmong HBeAg-positive patients with ALT <2 × ULN, high-serum HBsAg and HBeAg levels can equally accurately predict insignificant histology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.