Evidence mapPaperPMID 40520296Full record

ArticleFrontiers in public health2025

Association between atherogenic index of plasma and physical dysfunction: a cross-sectional study of middle-aged and older adults in China.

Jianghui Zhou, Yun Chang, Hechen Shen, Meng Zhang, Yuchao Wang, Xiaoyu Liang, Wenqing Gao

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
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  3. Article
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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

7 authors.

Jianghui Zhou *The Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Yun Chang *Department of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China.
Hechen ShenThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Meng ZhangThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Yuchao WangDepartment of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China.
Xiaoyu LiangDepartment of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China.
Wenqing GaoDepartment of Heart Center, The Third Central Hospital of Tianjin, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physical dysfunction is common in older adults and increases disease risk. The atherogenic index of plasma (AIP) is a promising biomarker for this condition. This study explored the dose-response relationship between AIP and physical dysfunction. Methods: Data from 11,369 CHARLS participants (aged ≥45 years) in 2015 and 2018 were analyzed using univariate and multivariate logistic regression, adjusting for demographics and lifestyle factors. The restricted cubic splines were used to examine possible non-linear associations and visualize the dose-response relationship between AIP and physical dysfunction. ROC curve analysis assessed AIP's predictive performance, and subgroup analyses evaluated interactions. Results: Each interquartile range (IQR) increase in AIP was associated with a 13.4% higher odds of physical dysfunction (adjusted OR = 1.134, 95% CI: 1.066-1.207, Conclusion: Elevated AIP is significantly associated with increased physical dysfunction risk, highlighting its potential as a simple, predictive biomarker.

Indexed as

AtherosclerosisAgedBiomarkersChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsBiomarkersatherogenic index of plasmacross-sectional studylipid metabolismolder adult populationphysical dysfunctionrestricted cubic spline regression

Identifiers

PMID40520296
PMCPMC12162623

What Socratic holds

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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.