Evidence map›Paper›PMID 42125316›Full record

ArticleFrontiers in nutrition2026

Associations of inflammation/nutrition-related indicators (RAR and MAR) with chronic kidney disease: evidence from NHANES 2005-2018.

Huaiman Li, Ying He, Binhuan Chen, Zhao Liu, Zhouchun Zhu, Weiping Zhu, Shuangqin Chen

Abstract read
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Article in Frontiers in nutrition, 2026. 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

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Huaiman Li *Division of Nephrology, Department of Medicine, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.
Ying He *Sanya Hospital of Traditional Chinese Medicine, Sanya, China.
Binhuan Chen *Division of Nephrology, Department of Medicine, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.
Zhao Liu *Division of Nephrology, Department of Medicine, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.
Zhouchun ZhuMedical Equipment Department, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.
Weiping ZhuDivision of Nephrology, Department of Medicine, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.
Shuangqin ChenDivision of Nephrology, Department of Medicine, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Ratios of red blood cell distribution width over albumin (RAR) and monocyte count over albumin (MAR) have recently emerged as inflammation- and nutrition-related biomarkers, demonstrating promise has been widely examined for its connection with the manifestation and clinical impact of several diseases. The research seeks to explore a potential link between RAR and MAR and the prevalence of chronic kidney disease (CKD). Methods: A cross-sectional analysis was conducted on 27,072 participants from the 2005-2018 NHANES dataset, representative of the U. S. population. Analyses included univariate and multivariate logistic regression, restricted cubic spline modeling, stratified analyses with interaction testing, mediation analyses, and assessment of clinical utility using calibration plots and decision curve analyses. Results: The proportion of participants with CKD was found to be 17.7%. After adjusting for a broad set of covariates, logistic regression models with multiple covariates indicated that both RAR and MAR showed significant positive correlations with CKD, with individuals in the highest RAR category exhibiting the strongest associations (OR = 1.68, 95% CI: 1.56-1.80) and highest MAR group (OR = 1.33, 95% CI: 1.24-1.43) had increased odds of CKD. RCS modeling revealed notable nonlinear relationships between RAR and MAR with CKD (nonlinearity test, Conclusion: Higher levels of the inflammation- and nutrition-related markers RAR and MAR show a link to an increased prevalence of CKD, with these associations partially mediated by hemoglobin and NLR and moderated by sex. Given their simplicity and low cost, RAR and MAR could serve as potential markers for detecting CKD among individuals, although the cross-sectional design precludes causal inference or predictive conclusions.

Indexed as

albuminchronic kidney diseaseinflammation/nutrition-based indicatorsNHANESpopulation-based study

Identifiers

PMID42125316
PMCPMC13159209

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