Evidence map›Paper›PMID 40206433›Full record

ArticleLiver research (Beijing, China)2025

Patients with chronic hepatitis B under nucleos(t)ide analog therapy with Omicron BA.5 infection: A retrospective study in South China.

Peipei Wang, Junjian Chen, Dabiao Chen, Ziying Lei, Zhishuo Mo, Ying Zhang

Abstract read
In one paragraph

Article in Liver research (Beijing, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Peipei WangDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Junjian ChenKey Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China.
Dabiao ChenDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Ziying LeiDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Zhishuo MoDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Ying ZhangDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Clinical data regarding patients with chronic hepatitis B (CHB) after Omicron BA.5 infection are currently limited. This study aimed to assess the clinical characteristics of patients with CHB and Omicron BA.5 infection in South China. Methods: This retrospective study was conducted from January to March 2023 in a cohort of 485 healthy individuals and 553 patients with CHB. Clinical features, encompassing COVID-19-related symptoms, levels of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies, vaccination status, liver functions, and virological markers of hepatitis B virus (HBV) infection were measured. Results: COVID-19-related symptom patterns were similar in both groups, except for fever, which was notably less prevalent (85.4% Conclusions: No significant exacerbation of COVID-19 symptoms was observed in conjunction with the efficacy of COVID-19 booster vaccinations. There were no notable alterations in liver functions except for GLB. HBV reactivation, as evidenced by increased HBV DNA, was observed among patients with CHB after Omicron BA.5 infection. These changes were not affected by ETV versus TFV administration; however, TFV resulted in a significant increase in SARS-CoV-2 antibody levels. Further studies are required to improve care and therapeutics for patients with CHB who contracted COVID-19.

Indexed as

BA.5Coronavirus disease 2019 (COVID-19)Entecavir (ETV)Hepatitis B virus (HBV)OmicronSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Tenofovir (TFV)

Identifiers

PMID40206433
PMCPMC11977153

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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.