Evidence map›Paper›PMID 37692030›Full record

ArticleCentral-European journal of immunology2023

Efficacy evaluation of direct antiviral drugs against hepatitis B virus in improving the degree of liver fibrosis.

Liang Miao, Lihua Cao, Guiqiang Wang

Open access · goldAbstract read
In one paragraph

Article in Central-European journal of immunology, 2023. 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
–field-weighted citation impact, top 86% 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, 0 citations in OpenAlex.

  1. The pivotal role of IL-17A in hepatic stellate cell activation.Central-European journal of immunology · 2024
    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

3 authors at 2 institutions in 1 country.

Liang MiaoPeking University First Hospital, China.
Lihua CaoThe Third Hospital of Qinhuangdao, China.
Guiqiang WangPeking University First Hospital, China.
First Hospital of Qinhuangdao · CNPeking University First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim of the study was to find an ideal index reflecting inflammation and fibrosis for patients after antiviral treatment, and compare it with imaging examination (liver stiffness measurement - LSM) and traditional liver fibrosis models (APRI and FIB-4). Material and methods: A total of 77 chronic hepatitis B (CHB) patients who achieved a sustained virological response (SVR) after entecavir (ETV) treatment were included, and the changes of various clinical indicators before and after treatment were compared. Results: After 78 weeks of ETV treatment, WBC and PLT of 77 patients were significantly increased, while ALT, AST and total bilirubin were significantly decreased (p < 0.05). There was no significant difference in serum creatinine (Cr) or blood urea nitrogen (BUN) compared to the values before treatment (p > 0.05). The three non-invasive liver fibrosis indexes, namely, LSM, APRI and FIB-4, were significantly decreased in 77 patients compared to the values before treatment (p < 0.001). Conclusions: Acoustic radiation force impulse (ARFI), fibrosis-4 (FIB-4), aspartate aminotransferase-to-platelet ratio index (APRI) have a high consistency with the grading of liver fibrosis, and can be used to evaluate the severity of liver fibrosis. Among them, ARFI has good diagnostic value for the classification of different degrees of liver fibrosis and the best diagnostic accuracy.

Indexed as

direct antiviral drugsentecavirhepatitis Bliver fibrosisliver stiffnessnoninvasive

Identifiers

PMID37692030
PMCPMC10485686
OpenAlexW4380484751

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.