Evidence map›Paper›PMID 39850429›Full record

ReviewHeliyon2025

Contradictory Mechanisms of rheumatoid arthritis and hepatitis B virus infection activation.

Fenglin Zhu, Miao Wang, Xuhong Zhang, Guoqing Zhao, Hongyan Gao, Lamei Zhou

Abstract readReview
In one paragraph

Review in Heliyon, 2025. 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

6 authors.

Fenglin ZhuDepartment of Rheumatology, The First Affiliated Hostipal of Chonqqing University of Chinese Medicine, Chongqing, Jiangbei, 410000, China.
Miao WangDepartment of Rheumatology, The First Affiliated Hostipal of Chonqqing University of Chinese Medicine, Chongqing, Jiangbei, 410000, China.
Xuhong ZhangDepartment of Rheumatology, Wuxi Hospital of Traditional Chinese Medicine, Wuxi, 214000, Jiangsu, China.
Guoqing ZhaoDepartment of Rheumatology, Wuxi Hospital of Traditional Chinese Medicine, Wuxi, 214000, Jiangsu, China.
Hongyan GaoChongqing Key Laboratory of Traditional Chinese Medicine to Prevent and Treat Autoimmune Diseases, The First Affiliated Hostipal of Chonqqing University of Chinese Medicine, Chongqing, Jiangbei, 410000, China.
Lamei ZhouDepartment of Rheumatology, Wuxi Hospital of Traditional Chinese Medicine, Wuxi, 214000, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is associated with a high rate of hepatitis B virus (HBV) infection. A large proportion of HBV reactivation may occur in RA patients after immunosuppression treatment, while fulminant hepatitis may occur in severe cases. Immunosuppressants are fundamental medications for the treatment of RA but carry the risk of inducing HBV reactivation. This inherent contradiction poses challenges throughout the immunosuppressive treatment process in patients with RA. Recently, numerous studies have been conducted on the contradictory therapeutic mechanisms between RA treatment and HBV infection, including aspects of innate immunity, adaptive immunity, and related signalling pathways. In this article, we review the immunological mechanisms underlying the onset of RA and HBV infections, providing a reference for determining appropriate treatment plans to reduce therapeutic contradictions and thereby reduce the risk of HBV reactivation in patients with RA combined with HBV infection.

Indexed as

Cellular signal transduction pathwayHepatitis B virus infectionImmune cellImmunological mechanism contradictionRheumatoid arthritis

Identifiers

PMID39850429
PMCPMC11755052

What OpenQuestion holds

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Registered trials

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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.