Evidence map›Paper›PMID 35351845›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2022

Follow-Up of 108 Patients with Chronic Hepatitis B Virus Infection Treated with Polyethylene Glycol-Conjugated Derivatives of Interferon-Alpha and Monitoring of Off-Treatment Virological Relapse.

Liyang Zhou, Qin He, Xitao Liu, Xiaoan Yang, Xueting Ou, Bing Situ, Yueping Li, Xingfei Pan, Qihuan Xu

Open access · greenAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2022. 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
0.2field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

9 authors at 4 institutions in 1 country.

Liyang ZhouDepartment of Infectious Diseases, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China (mainland).
Qin HeDepartment of Infectious Diseases, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China (mainland).
Xitao LiuClinical Research Management Office, Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China (mainland).
Xiaoan YangDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China (mainland).
Xueting OuDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China (mainland).
Bing SituClinical Research Management Office, Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China (mainland).
Yueping LiIntensive Care Unit of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China (mainland).
Xingfei PanDepartment of Infectious Diseases, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China (mainland).
Qihuan XuDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China (mainland).
Third Affiliated Hospital of Guangzhou Medical University · CNGuangzhou Medical University · CNThird Affiliated Hospital of Sun Yat-sen University · CNSun Yat-sen University · CN

Funding

NIEHS NIH HHS 27300C0032
6 · The paper itself

Abstract

BACKGROUND This single center study, which enrolled 108 patients with chronic hepatitis B virus infection treated with pegylated interferon-alpha (PEG-IFN-alpha), aimed to follow up and monitor off-treatment responses, including virological relapse, and analyze predictors of long-term efficacy of the PEG-IFN-alpha regimen. MATERIAL AND METHODS In total, 108 hepatitis B e antigen (HBeAg)-positive patients with chronic hepatitis B who had completed the PEG-IFN-alpha regimen and achieved virological suppression were enrolled. The patients were followed up for 5 years to monitor off-treatment responses. Twenty-eight relevant factors, including the history of antiviral therapy and HBeAg seroconversion, were analyzed using the Cox proportional hazards regression model. RESULTS The cumulative rates of virological suppression were 75.70%, 68.68%, 65.25%, 63.91%, and 63.91% at 1, 2, 3, 4, and 5 years of the follow-up period, respectively. Compared with the rates of virological suppression, the cumulative rates of clinical suppression were 88.41%, 79.83%, 78.59%, 75.65%, and 75.65%, respectively, for the 5 years. Alanine aminotransferase (ALT) normalization at 24 weeks after off-therapy (relative risk [RR]=3.430, P=0.013) was a potential predictor for sustained virological suppression, and the history of anti-viral therapy (RR=0.164, P=0.004), quantitative value of hepatitis B virus surface antigen (HBsAg) at 48 weeks of anti-viral therapy (RR=2.697, P=0.039), and ALT normalization at 24 weeks after off-therapy (RR=5.467, P=0.004) were potential predictors for sustained clinical suppression. CONCLUSIONS Our results suggested that increased HBsAg levels at 48 weeks and normalization of ALT at 24 weeks after off-therapy might be predictive factors for long-term treatment efficacy.[color=red] [/color].

Indexed as

Hepatitis B, ChronicAntiviral AgentsFollow-Up StudiesHepatitis B e AntigensHepatitis B Surface AntigensHepatitis B virusHumansInterferon-alphaPolyethylene GlycolsRecombinant ProteinsRecurrenceTreatment OutcomeAntiviral AgentsHepatitis B e AntigensHepatitis B Surface AntigensInterferon-alphaPolyethylene GlycolsRecombinant Proteins

Identifiers

PMID35351845
PMCPMC8978592
OpenAlexW4221072723

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.