Evidence map›Paper›PMID 36148219›Full record

ArticleFrontiers in immunology2022

Interferon add-on therapy increased clinical cure significantly for interferon-experienced chronic hepatitis B patients with low HBsAg.

Xiaoan Yang, Ka Zhang, Qihuan Xu, Xin Shu, Zhishuo Mo, Dongying Xie, Zhiliang Gao, Hong Deng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. [Chinese expert consensus on clinical practice of chronic hepatitis B functional (clinical) cure].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
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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

8 authors at 2 institutions in 1 country.

Xiaoan YangDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Ka ZhangDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Qihuan XuDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Xin ShuDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Zhishuo MoDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Dongying XieDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Zhiliang GaoDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Hong DengDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Sun Yat-sen University · CNThird Affiliated Hospital of Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, interferon add-on therapy brings hope for clinical cure of chronic hepatitis B patients with low HBsAg. However, in clinical practice patients with poor responses to their first interferon therapy were often switched to nucleos(t)ide analog therapy and then labeled as unsuitable patients for interferon therapy. Even if their HBsAg levels dropped to a low level, they were reluctant or not recommended to take interferon again, which caused them to miss out on interferon add-on therapy and clinical cure. Therefore, it is urgent to elucidate the effectiveness of interferon add-on therapy to get clinical cure for these interferon-experienced patients with low HBsAg. The purpose of this study was to investigate whether interferon-experienced patients could achieve the same HBsAg clearance and HBsAg seroconversion rates as interferon-naive patients. Also, the associated factor of HBsAg clearance and seroconversion were aimed to be clarified. 292 patients, including 85 interferon-experienced patients, were enrolled with HBsAg< 1500 IU/ml, HBeAg negative and HBV-DNA negative. And then, peg-interferon α-2b add-on therapy was performed. The results showed that the week 48 HBsAg clearance and seroconversion rates of all patients were 29.8% and 22.0%. There was no statistically significant difference between interferon-experienced and interferon-naive patients in week 48 HBsAg clearance and seroconversion rates, suggesting satisfactory clinical cure of the interferon add-on therapy for interferon-experienced patients. The age, baseline HBsAg, and week 12 HBsAg were negative correlated factors for week 48 HBsAg clearance and seroconversion. Furthermore, the age, baseline HBsAg and week 12 HBsAg for predicting the week 48 HBsAg clearance were cut off at 40.5 years, at 152.0 IU/ml and at 34.99 IU/ml, and for predicting seroconversion were cut off at 40.5 years, at 181.9 IU/ml and at 34.99 IU/ml, correspondingly. Significantly, interferon-experienced patients with low HBsAg were suggested with interferon add-on therapy to achieve clinical cure as soon as possible. This research provided evidences and cut-offs for the interferon add-on therapy against chronic hepatitis B.

Indexed as

Hepatitis B, ChronicAdultAntiviral AgentsDNA, ViralHepatitis B e AntigensHepatitis B Surface AntigensHumansInterferon-alphaTreatment OutcomeAntiviral AgentsDNA, ViralHepatitis B e AntigensHepatitis B Surface AntigensInterferon-alphachronic hepatitis B patients (CHB)clinical cureHBsAginterferon add-on therapyinterferon-experienced patients

Identifiers

PMID36148219
PMCPMC9485616
OpenAlexW4294751356

What OpenQuestion holds

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LicenceCC BY
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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.