Evidence map›Paper›PMID 40336192›Full record

ArticleRenal failure2025

Correlation between conventional and unconventional lipid parameters with the risk of progression of renal function decline: insights from the China Health and Retirement Longitudinal Study 2011-2015.

Yijing Xin, Yimeng Wang, Yuyuan Shu, Hanyang Liang, Yanmin Yang

Abstract read
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Article in Renal failure, 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
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1 · What the graph read from it

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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

5 authors.

Yijing XinEmergency and Intensive Care Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yimeng WangEmergency and Intensive Care Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuyuan ShuEmergency and Intensive Care Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hanyang LiangEmergency and Intensive Care Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yanmin YangEmergency and Intensive Care Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the association between conventional and unconventional lipid parameters and the risk of future chronic kidney disease (CKD) and progression of renal function decline.

methodsData from 4,542 participants who were free of CKD at baseline were analyzed using information from the China Health and Retirement Longitudinal Study (2011-2015). The follow-up period was four years. The primary endpoints were incident CKD and rapid progression of renal function decline. The associations between lipid parameters and the risk of CKD and rapid progression of renal function decline were assessed using restricted cubic splines (RCS) and logistic regression analysis.

resultsLogistic regression analysis showed that high-density lipoprotein cholesterol (HDL-C) was negatively associated with CKD risk, while remnant cholesterol (RC) and the atherogenic index of plasma (AIP) were positively associated. Triglycerides (TG), RC, and AIP were positively correlated with rapid renal function decline, whereas low-density lipoprotein cholesterol (LDL-C) and HDL-C were negatively correlated. Among these parameters, AIP was the most strongly associated with CKD [adjusted odds ratio (OR) (95% CI): 2.091 (1.199, 3.649),

conclusionLDL-C and HDL-C were negatively associated with rapid progression of renal function decline, while TG, RC, and AIP were positively associated with this outcome. Among the lipid parameters examined, AIP was the most strongly associated with CKD and rapid progression of renal function decline.

Indexed as

LipidsRenal Insufficiency, ChronicAgedChinaCholesterol, HDLCholesterol, LDLDisease ProgressionFemaleGlomerular Filtration RateHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedRisk FactorsTriglyceridesCholesterol, HDLCholesterol, LDLLipidsTriglyceridesatherogenic index of plasmaChronic kidney diseaselipid parametersremnant cholesterolrenal function decline

Identifiers

PMID40336192
PMCPMC12064124

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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.