Evidence map›Paper›PMID 41268226›Full record

ArticleAmerican journal of translational research2025

Liver abscess caused by

Yali Liu, Yu Zhang, Yongxiang Li, Jie Yang

Abstract readCase Reports
In one paragraph

Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yali LiuDepartment of Infectious Diseases, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University Yiwu 322000, Zhejiang, China.
Yu ZhangDepartment of Infectious Diseases, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University Yiwu 322000, Zhejiang, China.
Yongxiang LiDepartment of Rehabilitation Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University Yiwu 322000, Zhejiang, China.
Jie YangDepartment of Infectious Diseases, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University Yiwu 322000, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiver abscess complicated by purulent pericarditis is a rare clinical condition. To date, no cases of liver abscess caused by CASE PRESENTATION: A 33-year-old female was admitted with hypothermia, chest tightness, and vomiting. Upon admission, laboratory tests showed elevated inflammatory markers. Ultrasound imaging revealed both pericardial effusion and a hepatic abscess, leading to a diagnosis of liver abscess complicated by purulent pericarditis. Metagenomic next-generation sequencing (mNGS) of pericardial fluid identified

conclusionThis case highlights the importance of recognizing atypical manifestations in immunocompromised patients and emphasizes the critical role of early comprehensive examination, prompt and effective anti-infective therapy, and puncture drainage for improving patient outcome. Pathogen identification methods such as mNGS can guide more precise treatment strategies, thereby shortening hospitalization and reducing complications.

Indexed as

Bacteroides thetaiotaomicronLiver abscessmetagenomic next-generation sequencingpurulent pericarditis

Identifiers

PMID41268226
PMCPMC12628202

What OpenQuestion holds

Textmetadata
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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.