Evidence map›Paper›PMID 40904887›Full record

Observational studyWorld journal of gastroenterology2025

Serum metabolomic characteristics and their predictive value for ninety-day prognosis in patients with acute-on-chronic liver failure.

Yan Liu, Ying Xiao, Lian-Feng Ai, Jing-Jing Zhang, Jian-Dong Zhang, Ze-Qiang Qi, Lei Dong, Ya-Dong Wang

Abstract readObservational Study
In one paragraph

Observational study in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

8 authors.

Yan LiuDepartment of Clinical Laboratory, The Hebei Medical University Third Hospital, Shijiazhuang 050051, Hebei Province, China.
Ying XiaoDepartment of Infectious Diseases, The Hebei Medical University Third Hospital, Shijiazhuang 050000, Hebei Province, China.
Lian-Feng AiTechnology Center of Shijiazhuang Customs, Shijiazhuang 050000, Hebei Province, China.
Jing-Jing ZhangDepartment of Clinical Laboratory, The Hebei Medical University Third Hospital, Shijiazhuang 050051, Hebei Province, China.
Jian-Dong ZhangDepartment of Clinical Laboratory, The Hebei Medical University Third Hospital, Shijiazhuang 050051, Hebei Province, China.
Ze-Qiang QiDepartment of Infectious Diseases, The Hebei Medical University Third Hospital, Shijiazhuang 050000, Hebei Province, China.
Lei DongKey Laboratory of Molecular Medicine and Biological Diagnosis and Treatment, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100000, China.
Ya-Dong WangDepartment of Infectious Diseases, The Hebei Medical University Third Hospital, Shijiazhuang 050000, Hebei Province, China. wangyadong@hebmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute-on-chronic liver failure (ACLF) is characterized by severe metabolic disturbances; however, the specific metabolomic features and their predictive value on 90-day prognosis remain unclear.

aimTo identify serum metabolomic changes in patients with ACLF with different prognoses to support clinical prediction of outcomes and treatment decisions.

methodsThis non-interventional, observational case-control study enrolled 58 patients with ACLF. Fasting venous blood samples were analyzed using targeted metabolomics. Univariate and multivariate statistical analyses identified differential metabolites among 18 amino acids, 11 fatty acids, 5 gut microbiota-related metabolites, and 4 bile acid metabolites. Binary logistic regression identified independent mortality risk factors, visualized

resultsSignificant differences (

conclusionThe age-NLR-Arg model demonstrates a strong predictive value for 90-day mortality risk in patients with ACLF.

Indexed as

Acute-On-Chronic Liver FailureMetabolomicsAdultAgedBiomarkersCase-Control StudiesFemaleGastrointestinal MicrobiomeHumansMaleMiddle AgedPredictive Value of TestsPrognosisRisk FactorsROC CurveBiomarkersAcute-on-chronic liver failureArtificial liver blood purification systemMetabolomicsModelingPrognosis

Identifiers

PMID40904887
PMCPMC12404127

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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.