Evidence map›Paper›PMID 41034846›Full record

ArticleBMC endocrine disorders2025

Association between AIP and incident T2DM in patients with NAFLD: a retrospective study.

Yan Chen, Qiufang Bai, Hao Hua

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Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

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5 · Who and what money

Authors and funding

3 authors.

Yan ChenDepartment of Endocrinology, The First People's Hospital of Neijiang, Neijiang, China.
Qiufang BaiDepartment of Endocrinology, The First People's Hospital of Chongqing High-tech Zone, Chongqing, China.
Hao HuaDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of chongqing Medical University, No. 1, Youyi Road, Yuan Jiagang, Yuzhong distract, Chongqing, 400016, China. 529065285@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThis study aimed to investigate the relationship between atherogenic index of plasma (AIP) and incident type 2 diabetes mellitus (T2DM) in non-alcoholic fatty liver disease (NAFLD) patients. METHODS AND

resultsIn this retrospective study, 2,370 NAFLD patients were stratified into tertiles based on AIP levels. Baseline demographic, anthropometric, and biochemical characteristics were compared across tertiles. Multivariable logistic regression models were employed to assess the association between AIP and incident T2DM, adjusting for potential confounders, including age, sex, body mass index (BMI), hemoglobin A1c (HbA1c), smoking status, high blood pressure (HBP), and liver enzymes. Restricted cubic splines (RCS) evaluated dose-response relationships, and receiver operating characteristic (ROC) curves compared the predictive performance of AIP against individual parameters. In the fully adjusted model (Model 3), the highest tertile (Q3) demonstrated a 1.99-fold increased T2DM risk (OR = 1.99, 95% CI: 1.29-3.08, P = 0.002) versus Q1. A linear dose-response relationship was observed (P for non-linearity = 0.663), with each 1-unit AiP increase corresponding to a 2.76-fold higher T2DM risk (OR = 2.76, 95% CI: 1.54-4.93, P < 0.001). AIP demonstrated superior predictive performance for incident T2DM compared to traditional markers, as evidenced by higher area under the receiver operating characteristic curve (AUC) values. The relationship between AIP and incident T2DM remained consistent across various population subgroups (all interaction P-values>0.05).

conclusionsElevated AIP is independently associated with an increased risk of incident T2DM in NAFLD patients, highlighting its potential as a predictive biomarker for diabetes in this high-risk population.

Indexed as

AtherosclerosisBiomarkersDiabetes Mellitus, Type 2Non-alcoholic Fatty Liver DiseaseAdultAgedFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsBiomarkersAtherogenic index of plasmaDryadNon-alcoholic fatty liver diseaseRetrospective studyType 2 diabetes mellitus

Identifiers

PMID41034846
PMCPMC12487086

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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.