Evidence map›Paper›PMID 36336888›Full record

ArticleJournal of clinical laboratory analysis2022

Lower level of IL-28A as a predictive index of the artificial liver support system in effective treatment of patients with HBV-ACLF.

Yandi Huang, Tao Ju, Huafen Zhang, Dan Cao, Xuefen Li, Jiezuan Yang, Dong Yan

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. [Research advances in immune and metabolic dysregulation in the diagnosis and treatment of acute-on-chronic liver failure].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
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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

7 authors at 2 institutions in 1 country.

Yandi HuangDepartment of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-6364-1839
Tao JuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China.
Huafen ZhangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China.
Dan CaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China.
Xuefen LiDepartment of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-2989-3477
Jiezuan YangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China.
Dong YanState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China.
First Affiliated Hospital Zhejiang University · CNZhejiang Institute of Mechanical and Electrical Engineering · CN

Funding

National Natural Science Foundation of China 82072357National Science and Technology Major Project 2018ZX10101-001
6 · The paper itself

Abstract

backgroundHBV-related acute-on-chronic liver failure (HBV-ACLF) is the most common type of liver failure with high mortality. Artificial liver support system (ALSS) is an important mean to reduce the mortality of HBV-ACLF but lacking index to assess its effectiveness. The cytokines are closely related to the prognosis of HBV-ACLF patients with ALSS treatment, however, which is not fully understood.

methodsOne hundred forty-two patients with HBV-ACLF and 25 healthy donors were enrolled. The cytokine profile of peripheral blood was determined in the patients before and after ALSS treatment, and their relationship with effectiveness of ALSS treatment in HBV-ACLF was analyzed.

resultsSerum IL-28A levels were markedly lower in ALSS-effective patients than those in non-effective patients pre-ALSS treatment. Similarly, serum IL-6 was significantly lower in ALSS-effective patients. Furthermore, for patients with effective treatment, serum IL-28A levels were positively related with IL-6 levels post-ALSS (r = 0.2413, p = 0.0383). The ROC curve analysis showed that serum levels of IL-28A (AUC = 0.6959 when alone or 0.8795 when combined with total bilirubin, platelet count and INR, both p < 0.0001) and IL-6 (AUC = 0.6704, p = 0.0005) were useful indices for separating effective from non-effective ALSS treatment of HBV-ACLF patients. Multivariate logistic regression analysis demonstrated that lower level of IL-28A was independently associated with higher effective rate of ALSS treatments.

conclusionsLower level of IL-28A is a predictive biomarker for ALSS in effective treatment of HBV-ACLF patients and IL-28A may be potential target for the treatment of HBV-ACLF.

Indexed as

Acute-On-Chronic Liver FailureLiver, ArtificialHepatitis B virusHumansInterleukin-6PrognosisTreatment OutcomeInterleukin-6artificial liver support systemcytokineHBV-ACLFIL-28AIL-6

Identifiers

PMID36336888
PMCPMC9756982
OpenAlexW4308372971

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.