Evidence mapPaperPMID 42494271Full record

ArticleYonsei medical journal2026

Association between the Atherogenic Index of Plasma and in-Hospital Mortality in Individuals with Sepsis.

Peng Li, Xiujun Zhu, Weiguo Zheng, Li Zhang, Li Liu

Abstract read
In one paragraph

Article in Yonsei medical journal, 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

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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

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.

Peng Li *Department of Emergency, The Affiliated Hospital of North China University of Science and Technology, Tangshan, People's Republic of China.ORCID https://orcid.org/0009-0005-6433-4960
Xiujun Zhu *Department of Gynaecology and Obstetrics, Affiliated Hospital of Tangshan Vocational and Technical College, Tangshan, People's Republic of China. 695393921@qq.com.ORCID https://orcid.org/0009-0007-4270-3029
Weiguo ZhengDepartment of Emergency, The Affiliated Hospital of North China University of Science and Technology, Tangshan, People's Republic of China.ORCID https://orcid.org/0009-0009-6163-6524
Li ZhangDepartment of Emergency, The Affiliated Hospital of North China University of Science and Technology, Tangshan, People's Republic of China.ORCID https://orcid.org/0009-0003-4471-8241
Li LiuDepartment of Emergency, The Affiliated Hospital of North China University of Science and Technology, Tangshan, People's Republic of China.ORCID https://orcid.org/0009-0001-4618-9692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNumerous studies have shown that the atherogenic index of plasma (AIP) is a strong predictor of the risk of cardiovascular diseases (CVDs) and an independent predictor of cardiovascular events (CEs) and related mortality. The predictive value of AIP for in-hospital mortality (IHM) in individuals with sepsis remains uncertain. Therefore, this study aimed to investigate the association between AIP and IHM among patients with sepsis using a large sample from the Medical Information Mart for Intensive Care (MIMIC) database. MATERIALS AND

methodsIndividuals with sepsis were identified from the MIMIC-IV database and categorized into four groups according to AIP quartiles. The IHM was the primary outcome. The association between AIP and IHM was evaluated using logistic regression and restricted cubic spline (RCS) models.

resultsA total of 2243 patients (59% male) were included this study. In univariable logistic regression, higher AIP was significantly associated with increased IHM (odds ratio: 1.18 [95% confidence interval: 1.05-1.33];

conclusionElevated AIP was associated with higher IHM in individuals with sepsis.

Indexed as

AtherosclerosisHospital MortalitySepsisAgedFemaleHumansLogistic ModelsMaleMiddle AgedAtherogenic index of plasmain-hospital mortalityMedical Information Mart for Intensive Care IV databasesepsis

Identifiers

PMID42494271
PMCPMC13407063

What Socratic holds

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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 Socratic graph.