Evidence map›Paper›PMID 40108582›Full record

ArticleCardiovascular diabetology2025

Association of atherogenic index of plasma trajectory with the incidence of cardiovascular disease over a 12-year follow-up: findings from the ELSA cohort study.

Xicong Li, Lifei Lu, Yubiao Chen, Baiyun Liu, Bei Liu, Heshen Tian, Huajing Yang, Ruiwei Guo

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 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 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

8 authors.

Xicong Li *Kunming Medical University, Kunming, 650032, Yunnan, China.
Lifei Lu *State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Yubiao Chen *State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Baiyun Liu *State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Bei Liu920th Hospital of Joint Logistics Support Force, PLA, Kunming, 650032, Yunnan, China.
Heshen TianDepartment of Respiratory and Critical Care Medicine Key Laboratory of Respiratory Disease of Zhejiang Province, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
Huajing YangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Ruiwei Guo920th Hospital of Joint Logistics Support Force, PLA, Kunming, 650032, Yunnan, China. grw771210@163.com.ORCID 0000-0002-3617-6169

Funding

the Science and Technology Department of Yunnan Province 202101AY070001-030
6 · The paper itself

Abstract

backgroundAtherogenic index of plasma (AIP) at baseline has been associated with increased morbidity and mortality from cardiovascular disease (CVD). However, the relationship between long-term AIP trajectories and CVD remains unclear. Therefore, this study aimed to investigate the associations between AIP trajectories and the incidence of CVD in the English population.

methodThe study data analysis was based on the English Longitudinal Study of Aging (ELSA) from 2004 to 2017. The study population consisted of individuals aged 50 years and older in England. AIP was calculated as log

resultsA total of 3976 participants with completed AIP data in Wave 2 and more than two AIP measurements between Wave 2 and Wave 8 were enrolled in the ELSA cohort. The participants were divided into three groups [low-stable group (n = 1146), moderate-stable group (n = 2110), high-stable group (n = 720)] using a GBTM model. After adjusting for potential confounders, participants in the high-stable group indicated an increased risk of developing incident of CVD compared to those in the low-stable AIP group [Hazard Ratio (HR) 1.33; 95% Confidence Interval (CI) 1.02-1.74, P = 0.033]. However, no differences in the incidence of CVD (HR 1.20, 95%CI 0.98-1.48, P = 0.082) were observed in the moderate-stable group. Subgroup analysis indicated similar results for participants under 63 years old and those with high alcohol consumption.

conclusionsA high and sustainable level of the AIP index may contribute to the incidence of CVD. The trajectories of the AIP index can help identify older English individuals at increased risk of CVD who deserve primitive preventive and therapeutic approaches.

Indexed as

Cardiovascular DiseasesHeart Disease Risk FactorsTriglyceridesFemaleFollow-Up StudiesHumansMaleProportional Hazards ModelsProspective StudiesUnited KingdomTriglyceridesAtherogenic index of plasmaCardiovascular diseaseELSATrajectory

Identifiers

PMID40108582
PMCPMC11924681

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.