Evidence map›Paper›PMID 40855436›Full record

ArticleCardiovascular diabetology2025

Atherogenic index of plasma and its 5-year changes associated with type 2 diabetes risk: a 10-Year cohort study.

Liuding Wen, Yuying Wu, Xueru Fu, Weifeng Huo, Aijun Xu, Canjie Piao, Jingli Kong, Yaqin Su, Jinliang Liang, Botang Guo and 3 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. Article
  3. 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

13 authors.

Liuding WenDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Yuying WuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Xueru FuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Weifeng HuoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Aijun XuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Canjie PiaoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Jingli KongDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Yaqin SuDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, PR China.
Jinliang LiangDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, PR China.
Botang GuoDepartment of General Practice, Affiliated Luohu Hospital of Shenzhen University Medical School, Shenzhen, Guangdong, PR China.
Ming ZhangDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, PR China.
Dongsheng HuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China. dongshenghu563@126.com.
Yang ZhaoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China. zhaomiemie@126.com.

Funding

National Natural Science Foundation of China 82373675Natural Science Foundation of Guangdong Province 2024A1515010972The Science and Technology Development Foundation of Shenzhen JCYJ20220818095818040
6 · The paper itself

Abstract

backgroundThe global burden of type 2 diabetes mellitus (T2DM) is increasing, particularly in resource-limited settings like rural China. Although traditional blood glucose remains an essential measurement for diabetes screening, Atherogenic Index of Plasma (AIP) is emerging as a complementary predictor of T2DM risk. Over time, however, the association between AIP and T2DM risk remains insufficiently understood.

objectiveTo investigate the association between baseline AIP levels and its 5-year changes with the risk of T2DM in a rural Chinese cohort.

methodsThis prospective cohort study enrolled 14,968 participants without baseline diabetes from a rural Chinese population. AIP was calculated (log(TG/HDL-C)) and used to classify participant results into quartiles. We conducted multivariate Cox proportional hazards regression analysis, restricted cubic spline analyses, subgroup analyses, and sensitivity analyses to determine the association between baseline AIP and 5-year changes in AIP with the 10-year risk of T2DM.

resultsOver a median follow-up of 10.4 years, 2,165(N = 14,968) participants developed T2DM. The hazard ratios [aHRs; 95% confidence interval (CI)] for T2DM increased with quartiles 2, 3, and 4 (versus quartile 1) of AIP: 1.17 (1.00-1.38), 1.38 (1.18-1.62), and 1.96 (1.68-2.29), respectively (p for trend < 0.0001) after multivariable adjustment. Regarding 5-year changes in AIP, participants with increased AIP levels had a 18% higher risk of developing T2DM (aHRs 1.18, 95% CIs: 1.00-1.40) compared to those maintaining stable levels, while those with decreased AIP showed a 20% reduction in risk (aHRs 0.80, 95% CIs: 0.67-0.95). RCS analyses showed linear relationships for both baseline AIP (p for nonlinearity = 0.927) and 5-year changes in AIP (p for nonlinearity = 0.083) with T2DM risk.

conclusionsOur findings indicate that both baseline AIP levels and the 5-year changes in those levels are significantly associated with the risk of T2DM. Individuals with higher baseline AIP or 5-year increases in AIP were more likely to develop T2DM.

Indexed as

AtherosclerosisDiabetes Mellitus, Type 2AdultAgedBiomarkersChinaFemaleHumansMaleMiddle AgedPrognosisProspective StudiesRisk AssessmentRisk FactorsRural HealthTime FactorsBiomarkersAtherogenic index of plasmaChange in AIPCohort studyHazard ratioType 2 diabetes mellitus

Identifiers

PMID40855436
PMCPMC12376724

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.