Evidence map›Paper›PMID 40376958›Full record

ArticleVirulence2025

Novel prognostic scoring models for hepatitis B virus-related acute-on-chronic liver failure: A comparison with classical models.

Hongyan Guo, Fengling Fang, Lin Lin, Zhaopei Guo, Lu Lai, Yue Shi, Tianbin Chen, Ruimin Lai, Qishui Ou, Ya Fu

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Virulence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Hongyan GuoDepartment of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.ORCID 0009-0009-3432-8040
Fengling FangDepartment of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Lin LinDepartment of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Zhaopei GuoDepartment of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Lu LaiDepartment of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Yue ShiDepartment of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Tianbin ChenDepartment of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Ruimin LaiDepartment of the Center of Liver Diseases, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Qishui OuDepartment of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Ya FuDepartment of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.ORCID 0000-0002-7630-4233

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis and accurate prognostic evaluation are important for guiding clinical treatment and reducing mortality in patients with hepatitis B virus (HBV)-related acute-on-chronic liver failure (ACLF). The present study established novel prognostic scoring models to guide the clinical treatment of patients with HBV-ACLF. We performed a retrospective analysis of clinical data from two cohorts of patients diagnosed with HBV-ACLF. By comparing differences in baseline characteristics and clinical indicators between the survival (

Indexed as

Acute-On-Chronic Liver FailureHepatitis BHepatitis B, ChronicHepatitis B virusAdultAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsAsian populationsclinical managementprognostic scoreRisk predictionshort-term mortality

Identifiers

PMID40376958
PMCPMC12087482

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.