Evidence map›Paper›PMID 36304473›Full record

ArticleFrontiers in immunology2022

Describing immune factors associated with Hepatitis B surface antigen loss: A nested case-control study of a Chinese sample from Wuwei City.

Xiaojie Yuan, Ting Fu, Lixin Xiao, Zhen He, Zhaohua Ji, Samuel Seery, Wenhua Zhang, Yancheng Ye, Haowei Zhou, Xiangyu Kong and 9 more

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

19 authors at 3 institutions in 2 countries.

Xiaojie YuanDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Ting FuDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Lixin XiaoDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Zhen HeDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Zhaohua JiDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Samuel SeeryFaculty of Health and Medicine, Division of Health Research, Lancaster University, Lancaster, United Kingdom.
Wenhua ZhangClinical Drug Experiment Institution, Gansu Wuwei Tumor Hospital, Wuwei, China.
Yancheng YeHepatobiliary Center, Gansu Wuwei Tumor Hospital, Wuwei, China.
Haowei ZhouDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Xiangyu KongDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Shuyuan ZhangDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Qi ZhouDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Yulian LinDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Wenling JiaClinical Drug Experiment Institution, Gansu Wuwei Tumor Hospital, Wuwei, China.
Chunhui LiangClinical Drug Experiment Institution, Gansu Wuwei Tumor Hospital, Wuwei, China.
Haitao TangClinical Drug Experiment Institution, Gansu Wuwei Tumor Hospital, Wuwei, China.
Fengmei WangClinical Drug Experiment Institution, Gansu Wuwei Tumor Hospital, Wuwei, China.
Weilu ZhangDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Zhongjun ShaoDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Air Force Medical University · CNHuawei Technologies (China) · CNLancaster University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatitis B surface antigen (HBsAg) loss is considered a functional cure for chronic hepatitis B (CHB), however, several factors influence HBsAg loss. Methods: 29 CHB patients who had achieved HBsAg loss, were selected and 58 CHB patients with persistent HBsAg were matched, according to gender and age (+/- 3 years). Logistic regression and restricted cubic spline (RCS) modelling were performed. Results: Multivariate-adjusted logistic regression, based on stepwise selection, showed that baseline HBsAg levels negatively correlated with HBsAg loss (odds ratio [OR] = 0.99, 95% confidence interval [CI] = 0.98-0.99). Interferon treatment positively related with HBsAg loss (OR = 7.99, 95%CI = 1.62-44.88). After adjusting for age, HBsAg level, ALT level, HBeAg status and interferon treatment, MMP-1 (OR = 0.66, 95%CI = 0.44-0.97), CXCL9 (OR = 0.96, 95%CI = 0.93-0.99) and TNF-R1 (OR = 0.97, 95%CI = 0.94-0.99) baseline levels all negatively correlated with HBsAg loss. Our multivariate-adjusted RCS model showed that baseline CXCL10 was associated with HBsAg loss although the relationship was "U-shaped". Conclusions: Cytokines such as MMP-1, CXCL9, CXCL10 and TNF-R1 are important factors which influence HBsAg loss. It may be possible to develop a nomogram which intercalates these factors; however, further research should consider immune processes involved in HBsAg loss.

Indexed as

Hepatitis B, ChronicHepatitis B Surface AntigensAntiviral AgentsCase-Control StudiesChinaHumansImmunologic FactorsInterferonsMatrix Metalloproteinase 1Receptors, Tumor Necrosis Factor, Type IAntiviral AgentsHepatitis B Surface AntigensImmunologic FactorsInterferonsMatrix Metalloproteinase 1Receptors, Tumor Necrosis Factor, Type IchemokineHBsAginterferonMMP-1TNF-R1

Identifiers

PMID36304473
PMCPMC9592898
OpenAlexW4304175746

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.