Evidence map›Paper›PMID 42608047›Full record

ArticleBMJ open2026

Nucleos(t)ide analogue therapy combined with pegylated interferon α-2b guided by the GOLDEN prediction model for functional cure of chronic hepatitis B: study protocol (GIFT project).

Shiqi Chai, Jingjing Jiang, Chuanna Wang, Yingli He, Xiaoli Jia, Qi Xi, Fuchun Jing, Lijun Chang, Wei Zhang, Ying Guo and 18 more

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

28 authors.

Shiqi Chai *Department of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.ORCID http://orcid.org/0000-0001-9965-129X
Jingjing Jiang *Department of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Chuanna Wang *Department of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Yingli HeDepartment of Infectious Diseases, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xiaoli JiaSecond Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Qi XiAffiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
Fuchun JingDepartment of Infectious Diseases, Baoji People's Hospital, Baoji, China.
Lijun ChangDepartment of Infectious Diseases, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yuncheng, China.
Wei ZhangDepartment of Liver Disease, Xi'an Daxing Hospital, Xi'an, Shaanxi, China.
Ying GuoDepartment of Hepatology, The Third People's Hospital of Taiyuan, Taiyuan, Shanxi, China.
Feng DuDepartment of Infectious Diseases, Baoji Central Hospital, Baoji, China.
Jing FengDepartment of Hepatology, Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.
Yuefeng ChaiLinfen Central Hospital, Linfen, China.
Yaozhang CaoDepartment of Infectious Diseases, Yan'an People's Hospital, Yan'an, China.
Fenxiang LiDepartment of Hepatology, The Third People's Hospital of Linfen City, Linfen, Shanxi, China.
Li ZhangDepartment of Gastroenterology, Taiyuan Central Hospital, Taiyuan, China.
Suling ChenDepartment of Infectious Diseases, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Yan WangDepartment of Infectious Diseases, Shanxi Bethune Hospital (Third Hospital of Shanxi Medical University), Taiyuan, China.
Yongmei LinDepartment of Infectious Diseases, 3201 Hospital, Hanzhong, Shaanxi, China.
Haifang CaoThe Fourth People's Hospital of Qinghai Province, Xining, Qinghai, China.
Yu ZhangThe Fourth People's Hospital of Qinghai Province, Xining, Qinghai, China.
Yunlei LiangDepartment of Infectious Diseases, Jincheng People's Hospital, Jincheng, China.
Fangwei LiDepartment of Liver Diseases, Yuncheng Second Hospital, Yuncheng, China.
Yanqin HaoDepartment of Infectious Diseases, The First Hospital of Shanxi Medical University, Taiyuan, China.
Xiaohong GaoDepartment of Infectious Diseases, Yan'an University Affiliated Hospital, Yan'an, China.
Huaichang LiShanxi Traditional Chinese Medical Hospital, Taiyuan, China.
Ye Zhang *Department of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Wen Kang *Department of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China 82399536@qq.com.ORCID http://orcid.org/0000-0002-4818-8183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe limited efficacy and tolerability of interferon (IFN)-based therapies make refining patient selection a critical step towards achieving a functional cure in chronic hepatitis B (CHB). The novel GOLDEN model, based on sequential changes in quantitative HBsAg (qHBsAg), accurately predicts hepatitis B surface antigen (HBsAg) loss in patients with CHB receiving nucleos(t)ide analogue (NA) therapy. However, it remains unvalidated in patients receiving sequential pegylated IFN α-2b (Peg-IFN α-2b)-based therapy. We aim to validate the GOLDEN model and the optimised cut-off value for the predictive index (Pi) to prospectively identify optimal candidates for clinical cure among patients receiving sequential Peg-IFN α-2b therapy using pre-IFN treatment qHBsAg kinetics across multiple centres. METHODS AND ANALYSIS: This prospective multicentre observational cohort study will enrol 300 NA-experienced patients with CHB from 22 centres in China. Patients, stratified by the Pi calculated from pre-treatment qHBsAg dynamics, will be classified into two groups: favourable (Pi>0.15, n=150) and unfavourable candidates (Pi≤0.15, n=150). All patients will receive 48 weeks of combination therapy with Peg-IFN α-2b plus ongoing NAs. The primary endpoint is the HBsAg clearance rate at week 48, with clearance defined as HBsAg loss at any time during the treatment period. Secondary endpoints include HBsAg seroconversion and sustained clearance rates. The sample size provides 80% power to detect a significant difference between the assumed clearance rates (35% vs 20%, favourable vs unfavourable group). Between-group comparisons will be performed using the χ ETHICS AND DISSEMINATION: The study protocol has been reviewed, and ethical approval has been obtained from the ethics committee of Tangdu Hospital, Fourth Military Medical University (approval no. K202509-69). Approval has also been secured from 21 additional participating centres. TRIAL REGISTRATION NUMBER: ChiCTR2500095819.

Indexed as

Antiviral AgentsHepatitis B, ChronicHepatitis B Surface AntigensInterferon-alphaInterferon alpha-2NucleosidesPolyethylene GlycolsChinaDrug Therapy, CombinationHumansMulticenter Studies as TopicProspective StudiesRecombinant ProteinsTreatment OutcomeAntiviral AgentsHepatitis B Surface AntigensInterferon-alphaInterferon alpha-2Nucleosidespeginterferon alfa-2bPolyethylene GlycolsRecombinant ProteinsClinical ProtocolsHepatologyProtocols & guidelinesResearch Design

Identifiers

PMID42608047
PMCPMC13504923

What Socratic holds

Textmetadata
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 Socratic graph.