Evidence map›Paper›PMID 42445472›Full record

ArticleInfection and drug resistance2026

Risk Factors and Predictive Value of Sepsis in Patients with Liver Abscess.

Xiaoyan Ma, Yanni Chen, Xing An, Jie Zhang, Xigang Ma

Abstract read
In one paragraph

Article in Infection and drug resistance, 2026. 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

5 authors.

Xiaoyan MaDepartment of Critical Care Medicine, Yinchuan First People's Hospital, Yinchuan, Ningxia, 750001, People's Republic of China.
Yanni ChenThe First Clinical College, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China.
Xing AnThe First Clinical College, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China.
Jie ZhangThe First Clinical College, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China.
Xigang MaDepartment of Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the factors associated with sepsis in patients with liver abscess (LA) and assess their predictive value for the early identification of high-risk patients. Methods: Clinical data from 798 patients with LA were retrospectively analyzed. LA was diagnosed according to established diagnostic criteria, and sepsis was defined according to the Sepsis-3 criteria. Patients were divided into a sepsis group (n = 558) and a non-sepsis group (n = 240). Baseline characteristics, laboratory parameters, microbiological features, treatment details, and clinical outcomes were compared between the two groups. Multivariable logistic regression analysis was performed to identify factors associated with sepsis, and receiver operating characteristic (ROC) curve analysis was used to evaluate their predictive value. Results: Patients in the sepsis group were younger and had a higher prevalence of hepatobiliary surgery history and a higher incidence of jaundice than those in the non-sepsis group ( Conclusion: Sepsis in patients with LA is closely associated with a history of hepatobiliary surgery, elevated Cr and TBIL levels, and decreased PLT. A combined predictive model based on TBIL, Cr, and PLT demonstrated good discriminative ability and may facilitate the early identification of patients at high risk of sepsis, thereby supporting risk stratification and clinical decision-making.

Indexed as

liver abscessmultivariable logistic regressionrisk factorsROC curvesepsis

Identifiers

PMID42445472
PMCPMC13364106

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.