Evidence map›Paper›PMID 33179557›Full record

ArticleThe Journal of international medical research2020

Predictors of inflammatory activity in treatment-naive hepatitis B e-antigen-negative patients with chronic hepatitis B infection.

Jianhua Hu, Yong Wang, Gongying Jiang, Jie Zheng, Tuxiang Chen, Zhiping Chen, Meifang Yang, Xuan Zhang, Hong Zhao, Lanjuan Li

Abstract read
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. [Research progress on the relationship between liver cirrhosis and thyroid hormones].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Review
  3. Review
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

10 authors.

Jianhua HuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yong WangDepartment of Infectious Diseases, People's Hospital of Changshan, Quzhou, Zhejiang, China.
Gongying JiangDepartment of Infectious Diseases, People's Hospital of Changshan, Quzhou, Zhejiang, China.
Jie ZhengDepartment of Infectious Diseases, People's Hospital of Changshan, Quzhou, Zhejiang, China.
Tuxiang ChenDepartment of Infectious Diseases, People's Hospital of Changshan, Quzhou, Zhejiang, China.
Zhiping ChenDepartment of Infectious Diseases, People's Hospital of Changshan, Quzhou, Zhejiang, China.
Meifang YangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xuan ZhangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Hong ZhaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Lanjuan LiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-6945-0593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLiver inflammatory activity staging is critical to guide the treatment of chronic hepatitis B virus (CHB) infection. Here, we aimed to identify practical clinical biomarkers of moderate inflammatory activity in hepatitis B e-antigen (HBeAg)-negative CHB patients.

methodsTreatment-naïve HBeAg-negative CHB patients who underwent liver biopsy at our hospital from 1 January 2013 to 31 December 2016 were enrolled. Markers of inflammatory activity were analyzed using binary logistic regression. The area under the receiver operator characteristic curve (AUROCC) was used to assess diagnostic accuracy.

resultsA total of 106 HBeAg-negative treatment-naive CHB patients were enrolled. According to their METAVIR inflammatory scores, 30.2% of patients were in stage ≥A2. Total triiodothyronine (TT3) and hepatitis B virus (HBV) DNA levels were predictors of moderate inflammatory activity (A ≥ 2). The AUROCCs of TT3 and HBV DNA levels were 0.651 and 0.797, respectively. The optimal cut-off values for TT3 and HBV DNA were 1.755 nmol/L and 4.61 log10 IU/mL, respectively.

conclusionsA sizable proportion of treatment-naive HBeAg-negative CHB patients required antiviral treatment (30.2%) after undergoing liver biopsy. TT3 and HBV DNA helps identify patients with moderate inflammatory activity (A ≥ 2), potentially reducing the need for liver biopsies and helping guide treatment of CHB patients.

Indexed as

Hepatitis B, ChronicAntiviral AgentsArea Under CurveDNA, ViralHepatitis B e AntigensHepatitis B virusHumansAntiviral AgentsDNA, ViralHepatitis B e AntigensChronic hepatitis BHBeAg-negativeinflammatory activitynoninvasive biomarkersthyroid hormonetotal triiodothyronine

Identifiers

PMID33179557
PMCPMC7673054

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.