Evidence map›Paper›PMID 40025582›Full record

ArticleBMC public health2025

Gender disparities in the association between atherogenic index of plasma and chronic kidney disease.

Yong Wang, Jing Cui, Jing Gao, Shuang Liang, Guangyan Cai, Xiangmei Chen

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PubMed Full text at PMC Publisher
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
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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

6 authors.

Yong Wang *Department of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-Vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, 100853, China. wangyong301@vip.163.com.
Jing Cui *Department of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-Vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, 100853, China.
Jing Gao *Department of Clinical Laboratory, First Medical Center of Chinese, PLA General Hospital, Beijing, China.
Shuang LiangDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-Vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, 100853, China.
Guangyan CaiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-Vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, 100853, China.
Xiangmei ChenDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-Vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, 100853, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study investigates the relationship between the atherogenic index of plasma (AIP) and chronic kidney disease (CKD) occurrence in the general population, with a focus on potential gender disparities.

methodsThe study included 22,952 adults from the National Health and Nutrition Examination Survey (NHANES). Various statistical models were employed to evaluate the association between AIP and CKD occurrence and explore gender-specific differences.

resultsAdjusted for confounding factors, higher AIP levels showed a mild association with increased CKD risk in the general population. Specifically, individuals in the highest AIP quartile had a slightly elevated odds ratio (OR) for CKD compared to the lowest quartile (OR: 1.24, 95% CI: 1.02-1.52, P for trend = 0.023). Gender-stratified analysis revealed significant differences. Among males, higher AIP levels were significantly associated with CKD risk (OR: 1.49, 95% CI: 1.15-1.94, P for trend < 0.001), whereas in females, the association was weaker and statistically non-significant (P for trend = 0.055). U-shaped relationships between AIP and CKD were observed. Mediation analysis provided insights into potential pathways underlying this association. Among males, changes in uric acid accounted for 44.50% of CKD prevalence related to AIP, while glomerular filtration rate (eGFR), BMI, and bicarbonate levels contributed 44.09%, 17.55%, and 15.36%, respectively. Among females, uric acid changes accounted for 45.53%, while eGFR, bicarbonate, C-reactive protein (CRP), sodium, and potassium levels contributed 37.96%, 12.43%, 6.37%, 5.58%, and 3.14%, respectively.

conclusionOur findings suggest that elevated AIP levels may increase CKD risk, particularly among males in the general U.S. POPULATION:

Indexed as

AtherosclerosisHealth Status DisparitiesRenal Insufficiency, ChronicAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsSex FactorsUnited StatesAtherogenic index of plasmaChronic kidney diseaseGender differenceMediation AnalysisNHANES

Identifiers

PMID40025582
PMCPMC11871803

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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 OpenQuestion graph.