Evidence map›Paper›PMID 41756781›Full record

ArticleFrontiers in cellular and infection microbiology2026

Clinical, microbial and metabolic characteristics of gas-forming pyogenic liver abscess and its potential formation mechanism.

Zibo Gong, Yawen Guo, Hongguang Wang, Lulu Chen, Hairui Wang, Zhihui Chang

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

6 authors.

Zibo Gong *Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yawen Guo *Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Hongguang WangDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Lulu ChenDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Hairui Wang *Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Zhihui Chang *Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pyogenic liver abscess (PLA) is a common intra-abdominal infection with substantial morbidity and mortality, among which gas-forming pyogenic liver abscess (GFPLA) represents a more severe clinical subtype. Basically, GFPLA is usually associated with more severe clinical outcomes compared to non-gas-forming PLA (non-GFPLA). The underlying mechanisms driving gas formation remain unclear. This study aimed to explore clinical, microbial, and metabolic characteristics of GFPLA. Materials and methods: A total of 176 PLA patients (39 GFPLA, 137 non-GFPLA) were retrospectively analyzed. Clinical variables were compared between groups. Pus samples collected from patients undergoing percutaneous drainage were analyzed using 16S rDNA sequencing and untargeted metabolomics to investigate microbial composition and metabolic differences. Results: GFPLA patients showed worse liver function, higher inflammatory markers, poorer glycemic control, and higher in-hospital mortality. 16S rDNA sequencing revealed no significant differences in bacterial richness, diversity, or community composition between groups, with Conclusion: Diabetes mellitus is an independent risk factor for GFPLA. Gas formation in PLA is more likely linked to high blood glucose-induced metabolic alterations in the liver micro-environment rather than microbial composition. These findings suggest new potential therapeutic targets by modulating metabolic pathways to improve GFPLA outcomes.

Indexed as

BacteriaGasesLiver Abscess, PyogenicAdultAgedFemaleHumansMaleMetabolomeMetabolomicsMiddle AgedRetrospective StudiesRisk FactorsRNA, Ribosomal, 16SGasesRNA, Ribosomal, 16S16S rDNA sequencinggas formationpyogenic liver abscessrisk factoruntargeted metabolomics

Identifiers

PMID41756781
PMCPMC12932461

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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.