Evidence map›Paper›PMID 39920728›Full record

ArticleCardiovascular diabetology2025

Baseline atherogenic index of plasma and its trajectory predict onset of type 2 diabetes in a health screened adult population: a large longitudinal study.

Yongbing Sun, Xinbei Lin, Zhi Zou, Caiwen Zhao, Ao Liu, Jing Zhou, Zhonglin Li, Xiaoling Wu, Shewei Dou, Jiadong Zhu and 4 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Atherogenic Index of Plasma as Predictor for Cardiovascular Events and Cardiometabolic Diseases:Findings from the PAMELA Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
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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

14 authors.

Yongbing Sun *Department of Medical Imaging, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, # 7 Wei Wu Road, Zhengzhou, 450003, Henan, China.
Xinbei Lin *Department of Medical Imaging, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, # 7 Wei Wu Road, Zhengzhou, 450003, Henan, China.
Zhi Zou *Department of Medical Imaging, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, # 7 Wei Wu Road, Zhengzhou, 450003, Henan, China.
Caiwen ZhaoThe Third Affiliated Hospital of Zhengzhou University, #7 Kungfu Street, Zhengzhou, 450052, Henan, China.
Ao LiuDepartment of Medical Imaging, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, # 7 Wei Wu Road, Zhengzhou, 450003, Henan, China.
Jing ZhouHenan Provincial Research Center of Clinical Medicine of Nephropathy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 45003, China.
Zhonglin LiDepartment of Medical Imaging, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, # 7 Wei Wu Road, Zhengzhou, 450003, Henan, China.
Xiaoling WuDepartment of Nuclear Medicine, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China.
Shewei DouDepartment of Medical Imaging, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, # 7 Wei Wu Road, Zhengzhou, 450003, Henan, China.
Jiadong ZhuDepartment of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan, China.
Tao LiFuwaihua Central Vascular Disease Hospital, #1 Fuwai Avenue, Zhengzhou, 451464, Henan, China.
Xue LvHenan Provincial People's Hospital, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China.
Yong WangHenan Provincial People's Hospital, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China.
Yongli LiDepartment of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan, China. shyliyongli@126.com.

Funding

Central Plains Science and Technology Innovation leading talent Program 244200510016Henan Provincial Science and Technology Tackling Program Project Funding 242102311018, 242102311121, 242102310299Independent Innovation Project of Zhengzhou University ZC20240105Key scientific research project of Henan University 25A310026Medical Science and Technology Research Project of Henan Province SBGJ202302011, LHGJ20210054National Key R&D Program of China 2022YFC2010001
6 · The paper itself

Abstract

backgroundThe Atherogenic Index of Plasma (AIP) is a novel biomarker for assessing the severity of atherosclerosis and has been shown to be closely associated with the risk of Type 2 Diabetes Mellitus (T2DM). However, no prospective cohort study has comprehensively evaluated both the immediate risk stratification through baseline AIP and the long-term risk assessment through multi-time point AIP trajectories in health screened adults in relation to T2DM risk.

methodsThis longitudinal study included data from 42,850 participants who underwent health check-ups at Henan Provincial People's Hospital between January 2018 and August 2024. AIP was calculated as the logarithm of the ratio of triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C). The Kaplan-Meier method was employed to analyze the incidence of T2DM across different AIP groups. A Cox model with restricted cubic splines assessed the dose-response relationship between AIP and T2DM risk, while latent class trajectory models (LCTM) evaluated the trends of AIP over multiple time points. Cox proportional hazards models were used to examine the relationship between baseline AIP quartiles, AIP trajectories, and T2DM risk.

resultsDuring an average follow-up of 47.95 months, 3,228 participants developed T2DM. Stratifying by baseline AIP quartiles revealed that higher AIP levels were associated with an increased risk of T2DM. Compared to the lowest quartile, the highest quartile had a hazard ratio (HR) of 2.10 (95% CI: 1.74, 2.53). The LCTM identified three trajectory patterns for AIP: with the low-stable group as the reference, the medium-stable and high-stable groups had HRs of 1.72 (95% CI: 1.50, 1.96) and 2.50 (95% CI: 2.06, 3.03), respectively, indicating a significantly elevated risk of T2DM (P < 0.05).

conclusionElevated baseline AIP levels, medium stable trajectories and high stable trajectories are associated with an increased risk of T2DM in health screened adults.

Indexed as

AtherosclerosisCholesterol, HDLDiabetes Mellitus, Type 2DyslipidemiasTriglyceridesAdultAgedBiomarkersChinaFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedPredictive Value of TestsBiomarkersCholesterol, HDLTriglyceridesPlasma atherogenic indexProspective longitudinal studyTrajectory analysisType 2 diabetes mellitus

Identifiers

PMID39920728
PMCPMC11806864

What Socratic holds

Textmetadata
LicenceCC BY
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.