Evidence map›Paper›PMID 39869615›Full record

ArticlePloS one2025

The link between the atherogenic index of plasma and the risk of hypertension: Analysis from NHANES 2017-2020.

Kaiyou Liu, Qingwei Ji, Shaoming Qin, Ling Liu, Hongwei Zhang, Huating Huang, Guihua Li, Junjun Chen

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In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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.

Kaiyou LiuPeople's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.ORCID 0009-0000-5293-5877
Qingwei JiPeople's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Shaoming QinPeople's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Ling LiuPeople's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Hongwei ZhangYoujiang Medical University for Nationalities, Baise, China.
Huating HuangPeople's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Guihua LiPeople's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Junjun ChenPeople's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe atherogenic index of plasma (AIP) is a newly identified metabolic marker for atherosclerosis. However, there are inconsistent conclusions regarding the relationship between AIP and hypertension.

methodsThe study subjects were sourced from the National Health and Nutrition Examination Survey (NHANES) database from 2017 to 2020. Logistic regression analyses were employed to explore the correlation between AIP and hypertension. The value of AIP in predicting hypertension was assessed using ROC curves, and their nonlinear relationship was described using restricted cubic splines (RCS). Subgroup analyses, interactions, and sensitivity analyses were also conducted.

resultsThe study included 7,067 participants who were sourced from the NHANES database. There were 2723 participants diagnosed hypertension. We observed a notable correlation between AIP and hypertension (OR:1.89, 95%CI: 1.11-3.22, P = 0.019). ROC curve showed AIP had a good predictive value for the onset of hypertension, with the AUC of 0.652 (95% CI:0.639-0.664, p<0.001). RCS found that there existed a nonlinear association between AIP and the incidence of hypertension (p<0.001). Even after excluding individuals under the age of 40 years old, the results still indicate a strong association between AIP and hypertension.

conclusionsAIP may serve as an early biological marker for identifying hypertension, facilitating early screening of susceptible populations.

Indexed as

AtherosclerosisHypertensionAdultAgedBiomarkersFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsROC CurveBiomarkers

Identifiers

PMID39869615
PMCPMC11771876

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