Evidence map›Paper›PMID 40952635›Full record

ArticleEndocrine2025

Association of the atherogenic index of plasma with the risk of cardiovascular disease and death among diabetic or prediabetic adults.

Yang Wang, Zhengqin Ye, Wei Xu, Sijing Tang, Hemin Huang, Ping Fang, Miao Xuan, Keqin Zhang, Ying Xue, Qi Liu

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In one paragraph

Article in Endocrine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yang WangDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Zhengqin YeDepartment of Geriatric Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Wei XuDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Sijing TangDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Hemin HuangDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Ping FangDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Miao XuanDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Keqin ZhangDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Ying XueDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Qi LiuDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China. 00844@tongji.edu.cn.

Funding

2021 Shanghai Municipal Health Commission project 202140292the Clinical Research Project of Tongji Hospital of Tongji University ITJ(QN)2301the Cultivation Project for the National Natural Science Foundation of Shanghai Tongji Hospital GJPY2424the National Natural Science Foundation of China 82370867, 82200970
6 · The paper itself

Abstract

purposeThis study aimed to explore the association of the atherogenic index of plasma (AIP) and the risk of cardiovascular disease (CVD) as well as mortality risk in adults with diabetes or prediabetes.

methodsA total of 12,189 individuals with a diagnosis of diabetes or prediabetes in the 1999–2018 National Health and Nutrition Examination Survey (NHANES) were included in our study. We investigated the connection between AIP and CVD risk through logistic regression analyses. Cox proportional hazard regression analysis was employed to assess the relationship of AIP with the risk of all-cause mortality and CVD mortality, respectively. Additionally, competing risk analyses were utilized to mitigate the impact of other causes of death on the association between AIP and CVD mortality risk. Restricted cubic spline (RCS) analyses were further conducted to evaluate the potential nonlinear correlation between AIP and the risk of CVD prevalence as well as CVD mortality.

resultsLogistic regression analyses revealed that elevated AIP was significantly and positively associated with the risk of most CVDs. Cox regression analyses demonstrated no statistically significant association between AIP and the risk of all-cause mortality or CVD mortality. However, after accounting for the influence of other competing causes of death via competing risk analyses, AIP exhibited a substantial positive association with CVD mortality risk. RCS analyses indicated that AIP was significantly and positively correlated with the risk of most CVDs. Furthermore, RCS analyses revealed a non-linear relationship between AIP and the risk of all-cause mortality, whereas a positive linear association was observed between AIP and CVD mortality risk.

conclusionBased on the findings of this study, individuals with diabetes or prediabetes may stand to benefit from the application of AIP in predicting the risk and prognosis of CVD.

Indexed as

AtherosclerosisCardiovascular DiseasesDiabetes MellitusPrediabetic StateAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsAtherogenic index of plasmaCardiovascular diseaseDiabetes or prediabetesMortality

Identifiers

PMID40952635

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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.